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Ian T. Foster

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affiliation: University of Chicago, IL, USA
affiliation: Argonne National Laboratory, Lemont, IL, USA

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2025
[j188]
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Thomas Bouvier, Bogdan Nicolae, Alexandru Costan, Tekin Bicer, Ian T. Foster, Gabriel Antoniu:
Efficient distributed continual learning for steering experiments in real-time. Future Gener. Comput. Syst. 162: 107438 (2025)
[j187]
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Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Employing artificial intelligence to steer exascale workflows with colmena. Int. J. High Perform. Comput. Appl. 39(1): 52-64 (2025)
[j186]
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J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster:
Object Proxy Patterns for Accelerating Distributed Applications. IEEE Trans. Parallel Distributed Syst. 36(2): 253-265 (2025)
[c456]
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Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney:
Mitigating Memorization in Language Models. ICLR 2025
[i154]
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  - journals/corr/abs-2501-01316
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Ian T. Foster, Carl Kesselman:
Computational Grids. CoRR abs/2501.01316 (2025)
[i153]
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  - journals/corr/abs-2501-09557
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Alok Kamatar, Maxime Gonthier, Valérie Hayot-Sasson, André Bauer, Marcin Copik, Torsten Hoefler, Raul Castro Fernandez, Kyle Chard, Ian T. Foster:
Core Hours and Carbon Credits: Incentivizing Sustainability in HPC. CoRR abs/2501.09557 (2025)
[i152]
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  - journals/corr/abs-2501-10651
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Xiaoli Yan, Nathaniel Hudson, Hyun Park, Daniel Grzenda, J. Gregory Pauloski, Marcus Schwarting, Haochen Pan, Hassan Harb, Sam Foreman, Chris Knight, Tom Gibbs, Kyle Chard, Santanu Chaudhuri, Emad Tajkhorshid, Ian T. Foster, Mohamad Moosavi, Logan T. Ward, Eliu A. Huerta:
MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow. CoRR abs/2501.10651 (2025)
[i151]
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  - journals/corr/abs-2502-05293
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Wenyi Wang, Maxime Gonthier, Poornima Nookala, Haochen Pan, Ian T. Foster, Ioan Raicu, Kyle Chard:
Optimizing Fine-Grained Parallelism Through Dynamic Load Balancing on Multi-Socket Many-Core Systems. CoRR abs/2502.05293 (2025)
[i150]
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  - journals/corr/abs-2502-07237
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Xuefeng Liu, Songhao Jiang, Siyu Chen, Zhuoran Yang, Yuxin Chen, Ian T. Foster, Rick Stevens:
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization. CoRR abs/2502.07237 (2025)
[i149]
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  - journals/corr/abs-2502-12280
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Heng Ma, Alexander Brace, Carlo Siebenschuh, J. Gregory Pauloski, Ian T. Foster, Arvind Ramanathan:
Connecting Large Language Model Agent to High Performance Computing Resource. CoRR abs/2502.12280 (2025)
[i148]
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  - journals/corr/abs-2502-20309
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Franck Cappello, Sandeep Madireddy, Robert Underwood, Neil Getty, Nicholas Lee-Ping Chia, Nesar Ramachandra, Josh Nguyen, Murat Keçeli, Tanwi Mallick, Zilinghan Li, Marieme Ngom, Chenhui Zhang, Angel Yanguas-Gil, Evan R. Antoniuk, Bhavya Kailkhura, Minyang Tian, Yufeng Du, Yuan-Sen Ting, Azton Wells, Bogdan Nicolae, Avinash Maurya, M. Mustafa Rafique, Eliu A. Huerta, Bo Li, Ian T. Foster, Rick Stevens:
EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants. CoRR abs/2502.20309 (2025)
[i147]
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  - journals/corr/abs-2503-12752
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Sicheng Zhou, Zhuozhao Li, Valérie Hayot-Sasson, Haochen Pan, Maxime Gonthier, J. Gregory Pauloski, Ryan Chard, Kyle Chard, Ian T. Foster:
WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks. CoRR abs/2503.12752 (2025)
[i146]
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  - journals/corr/abs-2503-22981
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Weijian Zheng, Jack Kordas, Tyler J. Skluzacek, Raj Kettimuthu, Ian T. Foster:
Globus Service Enhancements for Exascale Applications and Facilities. CoRR abs/2503.22981 (2025)
2024
[j185]
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Rafael Ferreira da Silva, Rosa M. Badia, Deborah Bard, Ian T. Foster, Shantenu Jha, Frédéric Suter:
Frontiers in Scientific Workflows: Pervasive Integration With High-Performance Computing. Computer 57(8): 36-44 (2024)
[j184]
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Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra:
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. Comput. Sci. Eng. 26(3): 40-51 (2024)
[j183]
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André Bauer, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard:
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. Future Gener. Comput. Syst. 153: 558-574 (2024)
[j182]
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Nathaniel Hudson, Hana Khamfroush, Matt Baughman, Daniel E. Lucani, Kyle Chard, Ian T. Foster:
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing. Future Gener. Comput. Syst. 157: 250-263 (2024)
[j181]
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Weijian Zheng, Jack Kordas, Tyler J. Skluzacek, Raj Kettimuthu, Ian T. Foster:
Globus service enhancements for exascale applications and facilities. Int. J. High Perform. Comput. Appl. 38(6): 658-670 (2024)
[j180]
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  - journals/ijisec/PrantlHEIBKBSFK24
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Thomas Prantl, Lukas Horn, Simon Engel, Lukas Iffländer, Lukas Beierlieb, Christian Krupitzer, André Bauer, Mansi Sakarvadia, Ian T. Foster, Samuel Kounev:
De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem. Int. J. Inf. Sec. 23(2): 1149-1169 (2024)
[j179]
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  - journals/jbd/StengerLFKB24
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Michael Stenger, Robert Leppich, Ian T. Foster, Samuel Kounev, André Bauer:
Evaluation is key: a survey on evaluation measures for synthetic time series. J. Big Data 11(1): 66 (2024)
[j178]
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Andrew S. Lee, Sarah Elliott, Hassan Harb, Logan T. Ward, Ian T. Foster, Larry A. Curtiss, Rajeev S. Assary:
E_min: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability. J. Chem. Inf. Model. 64(4): 1277-1289 (2024)
[j177]
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Michael Stenger, André Bauer, Thomas Prantl, Robert Leppich, Nathaniel Hudson, Kyle Chard, Ian T. Foster, Samuel Kounev:
Thinking in Categories: A Survey on Assessing the Quality for Time Series Synthesis. ACM J. Data Inf. Qual. 16(2): 14:1-14:32 (2024)
[j176]
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K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael C. Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. J. Open Source Softw. 9(93): 5467 (2024)
[c455]
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  - conf/bigdataconf/ZhengSCKPSMFK24
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Weijian Zheng, Hemant Sharma, Ryan Chard, Peter Kenesei, Jun-Sang Park, Nicholas Schwarz, Antonino Miceli, Ian T. Foster, Rajkumar Kettimuthu:
Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning. IEEE Big Data 2024: 4275-4282
[c454]
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Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu:
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. CCGrid 2024: 245-254
[c453]
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André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 2024: 1-10
[c452]
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Bogdan Nicolae, Justin M. Wozniak, Tekin Bicer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot-Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al-Najjar, Alessandra Corsi, Ian T. Foster:
Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. e-Science 2024: 1-9
[c451]
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J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. e-Science 2024: 1-10
[c450]
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  - conf/heart/LeventalKCYCF24
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Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. HEART 2024: 10-17
[c449]
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Maksim Levental, Arham Khan, Ryan Chard, Kyle Chard, Stephen Neuendorffer, Ian T. Foster:
An End-to-End Programming Model for AI Engine Architectures. HEART 2024: 135-136
[c448]
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Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. IPDPS 2024: 217-229
[c447]
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Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. IPDPS (Workshops) 2024: 1175-1177
[c446]
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Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Rao Kotamarthi, Ian T. Foster, Sandeep Madireddy, Aditya Grover:
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. NeurIPS 2024
[c445]
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Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Väinö Hatanpää, Varuni Katti Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. SC 2024: 7
[c444]
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Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. SC Workshops 2024: 496-507
[c443]
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Rachana Ananthakrishnan, Yadu Babuji, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Lev Gorenstein, Kevin Hunter Kesling, Chris Janidlo, Daniel S. Katz, Reid Mello, J. Gregory Pauloski, Lei Wang:
Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. SC Workshops 2024: 597-606
[c442]
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André Bauer, Timo Dittus, Martin Straesser, Alok Kamatar, Matt Baughman, Lukas Beierlieb, Marius Hadry, Daniel Grillmeyer, Yannik Lubas, Samuel Kounev, Ian T. Foster, Kyle Chard:
Unveiling Temporal Performance Deviation: Leveraging Clustering in Microservices Performance Analysis. ICPE (Companion) 2024: 72-76
[c441]
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Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu:
MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE 2024: 190-200
[c440]
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Joe Bottigliero, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster:
Zero Code and Infrastructure Research Data Portals. PEARC 2024: 36:1-36:4
[c439]
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Rachana Ananthakrishnan, Yadu N. Babuji, Matt Baughman, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Daniel S. Katz, Kevin Hunter Kesling, Chris Janidlo, Reid Mello, Lei Wang:
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. PEARC 2024: 62:1-62:5
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K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML (latest). Zenodo, 2024
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K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.5.0. Zenodo, 2024 [all versions]
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K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version 2. Zenodo, 2024 [all versions]
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K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik:
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.7.4. Zenodo, 2024 [all versions]
[i145]
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André Bauer, Simon Trapp, Michael Stenger, Robert Leppich, Samuel Kounev, Mark Leznik, Kyle Chard, Ian T. Foster:
Comprehensive Exploration of Synthetic Data Generation: A Survey. CoRR abs/2401.02524 (2024)
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Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra:
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. CoRR abs/2401.04552 (2024)
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Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024)
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Zhi Hong, Kyle Chard, Ian T. Foster:
Combining Language and Graph Models for Semi-structured Information Extraction on the Web. CoRR abs/2402.14129 (2024)
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Jim Pruyne, Valérie Hayot-Sasson, Weijian Zheng, Ryan Chard, Justin M. Wozniak, Tekin Bicer, Kyle Chard, Ian T. Foster:
Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. CoRR abs/2403.06077 (2024)
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Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. CoRR abs/2403.19257 (2024)
[i139]
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Yuanjian Liu, Huihao Luo, Zhijun Han, Yao Hu, Yehui Yang, Kyle Chard, Sheng Di, Ian T. Foster, Jiesheng Wu:
FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework. CoRR abs/2404.02163 (2024)
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Marcus Schwarting, Nathan A. Seifert, Michael J. Davis, Ben Blaiszik, Ian T. Foster, Kirill Prozument:
Twins in rotational spectroscopy: Does a rotational spectrum uniquely identify a molecule? CoRR abs/2404.04225 (2024)
[i137]
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Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu:
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR abs/2404.15668 (2024)
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Lukasz Lacinski, Lee Liming, Steven Turoscy, Cameron Harr, Kyle Chard, Eli Dart, Paul Durack, Sasha Ames, Forrest M. Hoffman, Ian T. Foster:
Automated, Reliable, and Efficient Continental-Scale Replication of 7.3 Petabytes of Climate Simulation Data: A Case Study. CoRR abs/2404.19717 (2024)
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Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian T. Foster:
SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation. CoRR abs/2405.09939 (2024)
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Eamon Duede, William B. Dolan, André Bauer, Ian T. Foster, Karim R. Lakhani:
Oil & Water? Diffusion of AI Within and Across Scientific Fields. CoRR abs/2405.15828 (2024)
[i133]
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Thomas Bouvier, Bogdan Nicolae, Hugo Chaugier, Alexandru Costan, Ian T. Foster, Gabriel Antoniu:
Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers. CoRR abs/2406.03285 (2024)
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Ashka Shah, Adela DePavia, Nathaniel Hudson, Ian T. Foster, Rick Stevens:
Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning. CoRR abs/2406.06348 (2024)
[i131]
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Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. CoRR abs/2406.17710 (2024)
[i130]
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  - journals/corr/abs-2407-01764
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J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster:
Object Proxy Patterns for Accelerating Distributed Applications. CoRR abs/2407.01764 (2024)
[i129]
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Hendrik F. Hamann, Thomas Brunschwiler, Blazhe Gjorgiev, Leonardo S. A. Martins, Alban Puech, Anna Varbella, Jonas Weiss, Juan Bernabé-Moreno, Alexandre Blondin Massé, Seong Choi, Ian T. Foster, Bri-Mathias S. Hodge, Rishabh Jain, Kibaek Kim, Vincent Mai, François Mirallès, Martin De Montigny, Octavio Ramos-Leaños, Hussein Suprême, Le Xie, El-Nasser S. Youssef, Arnaud Zinflou, Alexander J. Belvi, Ricardo J. Bessa, Bishnu Prasad Bhattari, Johannes Schmude, Stanislav Sobolevsky:
A Perspective on Foundation Models for the Electric Power Grid. CoRR abs/2407.09434 (2024)
[i128]
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Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. CoRR abs/2407.11432 (2024)
[i127]
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J. Gregory Pauloski, Valérie Hayot-Sasson, Maxime Gonthier, Nathaniel Hudson, Haochen Pan, Sicheng Zhou, Ian T. Foster, Kyle Chard:
TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks. CoRR abs/2408.07236 (2024)
[i126]
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Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena. CoRR abs/2408.14434 (2024)
[i125]
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Michela Taufer, Valerio Pascucci, Christine R. Kirkpatrick, Ian T. Foster:
Sustainable Data Democratization: A Multifaceted Investment for an Equitable Future. CoRR abs/2408.14627 (2024)
[i124]
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Nathaniel Hudson, Valérie Hayot-Sasson, Yadu N. Babuji, Matt Baughman, J. Gregory Pauloski, Ryan Chard, Ian T. Foster, Kyle Chard:
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning. CoRR abs/2409.16495 (2024)
[i123]
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Xuefeng Liu, Songhao Jiang, Xiaotian Duan, Archit Vasan, Chong Liu, Chih-chan Tien, Heng Ma, Thomas S. Brettin, Fangfang Xia, Ian T. Foster, Rick L. Stevens:
Binding Affinity Prediction: From Conventional to Machine Learning-Based Approaches. CoRR abs/2410.00709 (2024)
[i122]
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Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney:
Mitigating Memorization In Language Models. CoRR abs/2410.02159 (2024)
[i121]
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  - journals/corr/abs-2410-12092
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J. Gregory Pauloski, Klaudiusz Rydzy, Valérie Hayot-Sasson, Ian T. Foster, Kyle Chard:
Accelerating Python Applications with Dask and ProxyStore. CoRR abs/2410.12092 (2024)
[i120]
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  - journals/corr/abs-2410-12927
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Arham Khan, Todd Nief, Nathaniel Hudson, Mansi Sakarvadia, Daniel Grzenda, Aswathy Ajith, Jordan Pettyjohn, Kyle Chard, Ian T. Foster:
SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques. CoRR abs/2410.12927 (2024)
[i119]
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  - journals/corr/abs-2410-14943
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Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent:
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. CoRR abs/2410.14943 (2024)
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  - journals/corr/abs-2411-04257
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Arham Khan, Robert Underwood, Carlo Siebenschuh, Yadu N. Babuji, Aswathy Ajith, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Kyle Chard, Ian T. Foster:
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication. CoRR abs/2411.04257 (2024)
2023
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Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, Ian T. Foster, Prashant J. Shenoy, Omer F. Rana, Andrew A. Chien:
Serverless Computing: What It Is, and What It Is Not? Commun. ACM 66(9): 80-92 (2023)
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Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster:
Globus automation services: Research process automation across the space-time continuum. Future Gener. Comput. Syst. 142: 393-409 (2023)
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Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023)
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Melanie Po-Leen Ooi, Shaleeza Sohail, Victoria Guiying Huang, Nathaniel Hudson, Matt Baughman, Omer F. Rana, Annika Hinze, Kyle Chard, Ryan Chard, Ian T. Foster, Theodoros Spyridopoulos, Harshaan Nagra:
Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications. IEEE Instrum. Meas. Mag. 26(9): 21-31 (2023)
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  - journals/internet/BadiaFM23
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Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic:
Future of HPC. IEEE Internet Comput. 27(1): 5-6 (2023)
[j170]
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Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster:
Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27(2): 28-34 (2023)
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  - conf/acl/HongAPDCF23
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Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster:
The Diminishing Returns of Masked Language Models to Science. ACL (Findings) 2023: 1270-1283
[c437]
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Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 2023: 15:1-15:10
[c436]
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Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. BlackboxNLP@EMNLP 2023: 342-356
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Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times. CCGrid 2023: 94-105
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Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid 2023: 299-310
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Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49
[c432]
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  - conf/eScience/HateganMarandiucMCMOTWWCFSJL23
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Mihael Hategan-Marandiuc, André Merzky, Nicholson T. Collier, Ketan Maheshwari, Jonathan Ozik, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Ian T. Foster, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. e-Science 2023: 1-10
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Alok Kamatar, Mansi Sakarvadia, Valérie Hayot-Sasson, Kyle Chard, Ian T. Foster:
Lazy Python Dependency Management in Large-Scale Systems. e-Science 2023: 1-10
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Carl Kesselman, Robert Schuler, Ian T. Foster:
Let's Put the Science in eScience. e-Science 2023: 1-3
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Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Can Automated Metadata Extraction Make Scientific Data More Navigable? e-Science 2023: 1-10
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Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu:
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. e-Science 2023: 1-10
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Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC 2023: 132-142
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Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky:
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100
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Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-Bounded Lossy Compression. ICDCS 2023: 703-713
[c424]
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Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster:
MatPropXtractor: Generate to Extract. Tiny Papers @ ICLR 2023
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Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops 2023: 32-41
[c422]
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Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang:
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. NeurIPS 2023
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Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
Balancing Federated Learning Trade-Offs for Heterogeneous Environments. PerCom Workshops 2023: 404-407
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J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster:
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC 2023: 59:1-59:15
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Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard:
Tournament-Based Pretraining to Accelerate Federated Learning. SC Workshops 2023: 109-115
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Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic:
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. SC Workshops 2023: 1606-1613
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Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster:
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. SC Workshops 2023: 2140-2146
[c416]
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Tobias Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T. Foster:
Exploring Benchmarks for Self-Driving Labs using Color Matching. SC Workshops 2023: 2147-2152
[c415]
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André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster:
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. ICPE (Companion) 2023: 95-99
[c414]
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Nickolaus D. Saint, Ryan Chard, Rafael Vescovi, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Michael E. Papka, Rick Wagner, Kyle Chard, Ian T. Foster:
Active Research Data Management with the Django Globus Portal Framework. PEARC 2023: 43-51
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Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ryan Chard, Kurt McKee, Ada Nikolaidis, Jim Pruyne, Stephen Rosen, Ian T. Foster:
Globus Timers: Scheduling Periodic Data Management Actions on Distributed Research Infrastructure. PEARC 2023: 283-287
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Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). Zenodo, 2023
[i117]
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  - journals/corr/abs-2302-06751
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Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR abs/2302.06751 (2023)
[i116]
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Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR abs/2303.08803 (2023)
[i115]
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  - journals/corr/abs-2304-14982
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Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan:
Hierarchical and Decentralised Federated Learning. CoRR abs/2304.14982 (2023)
[i114]
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  - journals/corr/abs-2305-03842
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Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez:
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR abs/2305.03842 (2023)
[i113]
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  - journals/corr/abs-2305-09593
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J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster:
Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR abs/2305.09593 (2023)
[i112]
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  - journals/corr/abs-2306-06283
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Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, L. Catherine Brinson, Kamal Choudhary, Defne Circi, Sam Cox, Wibe A. de Jong, Matthew L. Evans, Nicolas Gastellu, Jerome Genzling, María Victoria Gil, Ankur K. Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W. Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Rankovic, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Heck, Christoph Völker, Logan T. Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian T. Foster, Andrew D. White, Ben Blaiszik:
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon. CoRR abs/2306.06283 (2023)
[i111]
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Hyun Park, Xiaoli Yan, Ruijie Zhu, Eliu A. Huerta, Santanu Chaudhuri, Donny Cooper, Ian T. Foster, Emad Tajkhorshid:
GHP-MOFassemble: Diffusion modeling, high throughput screening, and molecular dynamics for rational discovery of novel metal-organic frameworks for carbon capture at scale. CoRR abs/2306.08695 (2023)
[i110]
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Yuanjian Liu, Sheng Di, Kyle Chard, Ian T. Foster, Franck Cappello:
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression. CoRR abs/2307.05416 (2023)
[i109]
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  - journals/corr/abs-2307-07895
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Mihael Hategan-Marandiuc, André Merzky, Nicholson T. Collier, Ketan Maheshwari, Jonathan Ozik, Matteo Turilli, Andreas Wilke, Justin M. Wozniak, Kyle Chard, Ian T. Foster, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. CoRR abs/2307.07895 (2023)
[i108]
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  - journals/corr/abs-2307-16080
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Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster:
nelli: a lightweight frontend for MLIR. CoRR abs/2307.16080 (2023)
[i107]
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  - journals/corr/abs-2308-09793
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Rafael Vescovi, Tobias Ginsburg, Kyle Hippe, Doga Ozgulbas, Casey Stone, Abraham Stroka, Rory Butler, Ben Blaiszik, Tom Brettin, Kyle Chard, Mark Hereld, Arvind Ramanathan, Rick Stevens, Aikaterini Vriza, Jie Xu, Qingteng Zhang, Ian T. Foster:
Towards a Modular Architecture for Science Factories. CoRR abs/2308.09793 (2023)
[i106]
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  - journals/corr/abs-2308-13701
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Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster:
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. CoRR abs/2308.13701 (2023)
[i105]
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  - journals/corr/abs-2309-05605
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Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models. CoRR abs/2309.05605 (2023)
[i104]
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  - journals/corr/abs-2309-15871
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André Bauer, Mark Leznik, Michael Stenger, Robert Leppich, Nikolas Herbst, Samuel Kounev, Ian T. Foster:
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field. CoRR abs/2309.15871 (2023)
[i103]
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  - journals/corr/abs-2310-00510
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Tobias Ginsburg, Kyle Hippe, Ryan Lewis, Doga Ozgulbas, Aileen Cleary, Rory Butler, Casey Stone, Abraham Stroka, Ian T. Foster:
Exploring Benchmarks for Self-Driving Labs using Color Matching. CoRR abs/2310.00510 (2023)
[i102]
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  - journals/corr/abs-2310-04610
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Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023)
[i101]
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Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism. CoRR abs/2310.16270 (2023)
[i100]
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  - journals/corr/abs-2311-00787
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Logan T. Ward, Ben Blaiszik, Cheng-Wei Lee, Troy Martin, Ian T. Foster, André Schleife:
Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning. CoRR abs/2311.00787 (2023)
[i99]
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  - journals/corr/abs-2312-03876
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Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian T. Foster, Aditya Grover:
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. CoRR abs/2312.03876 (2023)
[i98]
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Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma:
Rapid detection of rare events from in situ X-ray diffraction data using machine learning. CoRR abs/2312.03989 (2023)
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Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner, Georgios Tsolakis, Haris Jabbar, Ian T. Foster, Bo Li, Rick Stevens, Ce Zhang:
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data. CoRR abs/2312.10188 (2023)
2022
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Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic:
More Real Than Real: The Race to Simulate Everything. Computer 55(7): 67-72 (2022)
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Ian T. Foster, Carl Kesselman:
CUF-Links: Continuous and Ubiquitous FAIRness Linkages for Reproducible Research. Computer 55(8): 20-30 (2022)
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Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky:
A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 34(14) (2022)
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Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022)
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Anda Trifan, Defne Gorgun, Michael Salim, Zongyi Li, Alexander Brace, Maxim Zvyagin, Heng Ma, Austin Clyde, David Clark, David J. Hardy, Tom Burnley, Lei Huang, John D. McCalpin, Murali Emani, Hyenseung Yoo, Junqi Yin, Aristeidis Tsaris, Vishal Subbiah, Tanveer Raza, Jessica Liu, Noah Trebesch, Geoffrey Wells, Venkatesh Mysore, Tom Gibbs, James C. Phillips, S. Chakra Chennubhotla, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, John E. Stone, Emad Tajkhorshid, Sarah A. Harris, Arvind Ramanathan:
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action. Int. J. High Perform. Comput. Appl. 36(5-6): 603-623 (2022)
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Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens:
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. J. Chem. Inf. Model. 62(1): 116-128 (2022)
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Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster:
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3(10): 100606 (2022)
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Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez:
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. 15(11): 3172-3185 (2022)
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Takuya Kurihana, Elisabeth Moyer, Ian T. Foster:
AICCA: AI-Driven Cloud Classification Atlas. Remote. Sens. 14(22): 5690 (2022)
[j160]
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Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster:
Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder. IEEE Trans. Geosci. Remote. Sens. 60: 1-25 (2022)
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Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022)
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Mert Hidayetoglu, Tekin Biçer, Simon Garcia de Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-Mei W. Hwu:
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging. IEEE Trans. Parallel Distributed Syst. 33(9): 2014-2031 (2022)
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Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Trans. Parallel Distributed Syst. 33(10): 4440-4457 (2022)
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J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang:
Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. 33(12): 3616-3627 (2022)
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Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard:
$f$funcX: Federated Function as a Service for Science. IEEE Trans. Parallel Distributed Syst. 33(12): 4948-4963 (2022)
[c412]
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Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster:
Adaptive Edge-Cloud Environments for Rural AI. SCC 2022: 74-83
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Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu:
fairDMS: Rapid Model Training by Data and Model Reuse. CLUSTER 2022: 394-405
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Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard:
FLoX: Federated Learning with FaaS at the Edge. e-Science 2022: 11-20
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Matt Baughman, Ian T. Foster, Kyle Chard:
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures. e-Science 2022: 433-434
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Jim Pruyne, Justin M. Wozniak, Ian T. Foster:
Tracking Dubious Data: Protecting Scientific Workflows from Invalidated Experiments. e-Science 2022: 456-461
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Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Automated metadata extraction: challenges and opportunities. e-Science 2022: 495-500
[c406]
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Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster:
Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC 2022: 19-26
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Joaquin Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. HPDC 2022: 185-198
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Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC 2022: 290-291
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  - conf/iccS/LeventalCCFW22
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Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. ICCS (1) 2022: 403-416
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Tyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster:
Models and Metrics for Mining Meaningful Metadata. ICCS (1) 2022: 417-430
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Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha:
Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. IPDPS 2022: 806-816
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Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard:
Assessing the Current State of AWS Spot Market Forecastability. SuperCompCloud 2022: 8-15
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Aymen Alsaadi, Logan T. Ward, André Merzky, Kyle Chard, Ian T. Foster, Shantenu Jha, Matteo Turilli:
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. WORKS@SC 2022: 27-34
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Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2022: Proceedings of the 2nd Workshop on High Performance Serverless Computing, Minneapolis, MN, USA, 30 June 2022. ACM 2022, ISBN 978-1-4503-9311-9 [contents]
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William Dempsey, Ian T. Foster, Scott Fraser, Carl Kesselman:
Sharing Begins at Home. CoRR abs/2201.06564 (2022)
[i95]
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Ian T. Foster, Carl Kesselman:
CUF-Links: Continuous and Ubiquitous FAIRness Linkages for reproducible research. CoRR abs/2201.08296 (2022)
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Ian T. Foster, Carl Kesselman:
The History of the Grid. CoRR abs/2204.04312 (2022)
[i93]
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  - journals/corr/abs-2204-05128
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Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster:
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR abs/2204.05128 (2022)
[i92]
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Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu:
fairDMS: Rapid Model Training by Data and Model Reuse. CoRR abs/2204.09805 (2022)
[i91]
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  - journals/corr/abs-2205-01167
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Jim James, Nathan Pruyne, Tiberiu Stan, Marcus Schwarting, Jiwon Yeom, Seungbum Hong, Peter Voorhees, Ben Blaiszik, Ian T. Foster:
3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization. CoRR abs/2205.01167 (2022)
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Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri:
Real-Time Streaming and Event-driven Control of Scientific Experiments. CoRR abs/2205.01476 (2022)
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Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz:
Extended Abstract: Productive Parallel Programming with Parsl. CoRR abs/2205.01527 (2022)
[i88]
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Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster:
ScholarBERT: Bigger is Not Always Better. CoRR abs/2205.11342 (2022)
[i87]
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  - journals/corr/abs-2207-00611
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Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster:
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR abs/2207.00611 (2022)
[i86]
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Philip E. Bourne, Vivien Bonazzi, Amy Brand, Bonnie Carroll, Ian T. Foster, Ramanathan V. Guha, Robert J. Hanisch, Sallie Ann Keller, Mary Lee Kennedy, Christine R. Kirkpatrick, Barend Mons, Sarah M. Nusser, Michael Stebbins, George O. Strawn, Alex Szalay:
Playing catch-up in building an open research commons. CoRR abs/2208.04682 (2022)
[i85]
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Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster:
Globus Automation Services: Research process automation across the space-time continuum. CoRR abs/2208.09513 (2022)
[i84]
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Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study. CoRR abs/2209.01356 (2022)
[i83]
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Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara:
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR abs/2209.09408 (2022)
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Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard:
funcX: Federated Function as a Service for Science. CoRR abs/2209.11631 (2022)
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Takuya Kurihana, Elisabeth Moyer, Ian T. Foster:
AICCA: AI-driven Cloud Classification Atlas. CoRR abs/2209.15096 (2022)
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Takuya Kurihana, Ian T. Foster, Rebecca Willett, Sydney Jenkins, Kathryn Koenig, Ruby Werman, Ricardo Barros Lourenço, Casper Neo, Elisabeth Moyer:
Cloud Classification with Unsupervised Deep Learning. CoRR abs/2209.15585 (2022)
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  - journals/corr/abs-2210-08973
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Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu:
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022)
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Takuya Kurihana, James Franke, Ian T. Foster, Ziwei Wang, Elisabeth Moyer:
Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder. CoRR abs/2211.00860 (2022)
2021
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George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster:
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117: 387-400 (2021)
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Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishnaiah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021)
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Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021)
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Jeremy Feinstein, Ganesh Sivaraman, Kurt Picel, Brian Peters, Álvaro Vázquez-Mayagoitia, Arvind Ramanathan, Margaret Macdonell, Ian T. Foster, Eugene Yan:
Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance Toxicity. J. Chem. Inf. Model. 61(12): 5793-5803 (2021)
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Ian T. Foster, Carl Kesselman:
Translating the grid: How a translational approach shaped the development of grid computing. J. Comput. Sci. 52: 101214 (2021)
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Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Simplifying publication, discovery, and use of machine learning models in science. J. Parallel Distributed Comput. 147: 64-76 (2021)
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Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer across Diverse Storage. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(1): 3:1-3:25 (2021)
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Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27(8): 3463-3480 (2021)
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Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. e-Science 2021: 237-238
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Zhi Hong, Kyle Chard, Ian T. Foster:
Gold Panning: Automatic Extraction of Scientific Information from Publications. e-Science 2021: 243-244
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Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li:
Federated Function as a Service for eScience. e-Science 2021: 251-252
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Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster:
Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder. e-Science 2021: 253-254
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Matt Baughman, Ian T. Foster, Kyle Chard:
Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources. e-Science 2021: 267-268
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Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. HiPC 2021: 394-399
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Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster:
A Serverless Framework for Distributed Bulk Metadata Extraction. HPDC 2021: 7-18
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Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard:
Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost. HiPS@HPDC 2021: 9-12
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Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster:
3d Autoencoders For Feature Extraction In X-Ray Tomography. ICIP 2021: 3477-3481
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Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. ICPP 2021: 40:1-40:12
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Yuliana Zamora, Logan T. Ward, Ganesh Sivaraman, Ian T. Foster, Henry Hoffmann:
Proxima: accelerating the integration of machine learning in atomistic simulations. ICS 2021: 242-253
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Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Topology-aware optimizations for multi-GPU ptychographic image reconstruction. ICS 2021: 354-366
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Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard:
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments. IPDPS Workshops 2021: 66-75
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Tim Shaffer, Zhuozhao Li, Ben Tovar, Yadu N. Babuji, T. J. Dasso, Zoe Surma, Kyle Chard, Ian T. Foster, Douglas Thain:
Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications. IPDPS 2021: 786-796
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Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS 2021: 859-868
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Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster:
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC 2021: 9-20
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Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Cross Inference of Throughput Profiles Using Micro Kernel Network Method. MLN 2021: 48-68
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Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç:
In-situ workflow auto-tuning through combining component models. PPoPP 2021: 467-468
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J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: an adaptive second-order optimizer framework for deep neural networks. SC 2021: 13
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Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç:
Bootstrapping in-situ workflow auto-tuning via combining performance models of component applications. SC 2021: 28
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Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. DRBSD@SC 2021: 40-46
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Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster:
High-Performance Ptychographic Reconstruction with Federated Facilities. SMC 2021: 173-189
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Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster:
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC 2021: 247-261
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Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster:
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC 2021: 15-23
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Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, Virtual Event, Sweden, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8388-2 [contents]
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Nimanthi L. Atukorala, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Ian T. Foster, Zhongjie Wang, Jia Zhang:
IEEE World Congress on Services, SERVICES 2021, Chicago, IL, USA, September 5-10, 2021. IEEE 2021, ISBN 978-1-6654-2719-7 [contents]
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Thomas M. Conte, Ian T. Foster, William Gropp, Mark D. Hill:
Advancing Computing's Foundation of US Industry & Society. CoRR abs/2101.01284 (2021)
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Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster:
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. CoRR abs/2101.04617 (2021)
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Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi:
Fast and accurate learned multiresolution dynamical downscaling for precipitation. CoRR abs/2101.06813 (2021)
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Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster:
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder. CoRR abs/2103.04885 (2021)
[i73]
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Sam Nickolay, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster:
Towards Accommodating Real-time Jobs on HPC Platforms. CoRR abs/2103.13130 (2021)
[i72]
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Alexander Brace, Hyungro Lee, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan:
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. CoRR abs/2104.04797 (2021)
[i71]
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Ian T. Foster, Daniel Lopresti, Bill Gropp, Mark D. Hill, Katie Schuman:
A National Discovery Cloud: Preparing the US for Global Competitiveness in the New Era of 21st Century Digital Transformation. CoRR abs/2104.06953 (2021)
[i70]
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  - journals/corr/abs-2105-12764
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Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2105.12764 (2021)
[i69]
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  - journals/corr/abs-2105-13967
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Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster:
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. CoRR abs/2105.13967 (2021)
[i68]
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  - journals/corr/abs-2106-12091
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Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes. CoRR abs/2106.12091 (2021)
[i67]
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  - journals/corr/abs-2107-01739
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J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. CoRR abs/2107.01739 (2021)
[i66]
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Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing. CoRR abs/2107.02841 (2021)
[i65]
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  - journals/corr/abs-2107-07108
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Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization. CoRR abs/2107.07108 (2021)
[i64]
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  - journals/corr/abs-2110-02827
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Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster:
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. CoRR abs/2110.02827 (2021)
[i63]
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  - journals/corr/abs-2111-11330
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Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster:
High-Performance Ptychographic Reconstruction with Federated Facilities. CoRR abs/2111.11330 (2021)
[i62]
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  - journals/dagstuhl-reports/AbadFHI21
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Cristina L. Abad, Ian T. Foster, Nikolas Herbst, Alexandru Iosup:
Serverless Computing (Dagstuhl Seminar 21201). Dagstuhl Reports 11(4): 34-93 (2021)
2020
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Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl H. Porter, Joshua Elliott, Ravi K. Madduri, David Kelly, Angelo Riccio, Ian T. Foster:
Using the FACE-IT portal and workflow engine for operational food quality prediction and assessment: An application to mussel farms monitoring in the Bay of Napoli, Italy. Future Gener. Comput. Syst. 110: 453-467 (2020)
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Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. HPDC 2020: 65-76
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Zhi Hong, Roselyne Tchoua, Kyle Chard, Ian T. Foster:
SciNER: Extracting Named Entities from Scientific Literature. ICCS (2) 2020: 308-321
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Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson:
Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops 2020: 10:1-10:9
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Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka:
Characterization and identification of HPC applications at leadership computing facility. ICS 2020: 29:1-29:12
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Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Efficient I/O for Neural Network Training with Compressed Data. IPDPS 2020: 409-418
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Tekin Bicer, Viktor V. Nikitin, Selin S. Aslan, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster:
Tomographic Reconstruction of Dynamic Features with Streaming Sliding Subsets. XLOOP@SC 2020: 8-15
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Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster:
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. XLOOP@SC 2020: 35-40
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Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes. SC 2020: 37
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Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster:
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements. MLHPC/AI4S@SC 2020: 88-95
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J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional neural network training with distributed K-FAC. SC 2020: 94
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Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri:
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. WF-IoT 2020: 1-2
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  - conf/xsede/AltACCFLT20
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Jason Alt, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster, Lee Liming, Steven Tuecke:
OAuth SSH with Globus Auth. PEARC 2020: 34-40
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Rachana Ananthakrishnan, Kyle Chard, Mike D'Arcy, Ian T. Foster, Carl Kesselman, Brendan McCollam, Jim Pruyne, Philippe Rocca-Serra, Robert Schuler, Rick Wagner:
An Open Ecosystem for Pervasive Use of Persistent Identifiers. PEARC 2020: 99-105
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Ian T. Foster, Gerhard R. Joubert, Ludek Kucera, Wolfgang E. Nagel, Frans J. Peters:
Parallel Computing: Technology Trends, Proceedings of the International Conference on Parallel Computing, PARCO 2019, Prague, Czech Republic, September 10-13, 2019. Advances in Parallel Computing 36, IOS Press 2020, ISBN 978-1-64368-070-5 [contents]
[i61]
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  - journals/corr/abs-2002-06258
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Justin M. Wozniak, Hemant Sharma, Timothy G. Armstrong, Michael Wilde, Jonathan D. Almer, Ian T. Foster:
Big Data Staging with MPI-IO for Interactive X-ray Science. CoRR abs/2002.06258 (2020)
[i60]
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  - journals/corr/abs-2005-04215
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Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. CoRR abs/2005.04215 (2020)
[i59]
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  - journals/corr/abs-2005-13669
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Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri:
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. CoRR abs/2005.13669 (2020)
[i58]
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  - journals/corr/abs-2006-02431
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Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner:
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release. CoRR abs/2006.02431 (2020)
[i57]
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  - journals/corr/abs-2007-00784
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J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional Neural Network Training with Distributed K-FAC. CoRR abs/2007.00784 (2020)
[i56]
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  - journals/corr/abs-2007-04457
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Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2007.04457 (2020)
[i55]
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  - journals/corr/abs-2008-06991
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Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç:
In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications. CoRR abs/2008.06991 (2020)
[i54]
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  - journals/corr/abs-2008-08198
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Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster:
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning. CoRR abs/2008.08198 (2020)
[i53]
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  - journals/corr/abs-2008-09591
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Ian T. Foster, Carl Kesselman:
Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing. CoRR abs/2008.09591 (2020)
[i52]
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  - journals/corr/abs-2009-00035
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Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster:
The Data Station: Combining Data, Compute, and Market Forces. CoRR abs/2009.00035 (2020)
[i51]
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  - journals/corr/abs-2009-03190
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Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. CoRR abs/2009.03190 (2020)
[i50]
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  - journals/corr/abs-2009-07226
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Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes. CoRR abs/2009.07226 (2020)
[i49]
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  - journals/corr/abs-2010-06574
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Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Thomas S. Brettin, Kyle Chard, Ryan Chard, Peter V. Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, André Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. CoRR abs/2010.06574 (2020)
[i48]
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  - journals/corr/abs-2010-08486
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Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster:
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. CoRR abs/2010.08486 (2020)
[i47]
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  - journals/corr/abs-2011-08697
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Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR abs/2011.08697 (2020)
[i46]
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  - journals/corr/abs-2012-00131
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Sutanay Choudhury, Jenna A. Bilbrey, Logan T. Ward, Sotiris S. Xantheas, Ian T. Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting:
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data. CoRR abs/2012.00131 (2020)
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  - journals/corr/abs-2012-06049
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Ian T. Foster, David C. Parkes, Stephan Zheng:
The Rise of AI-Driven Simulators: Building a New Crystal Ball. CoRR abs/2012.06049 (2020)
[i44]
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  - journals/corr/abs-2012-08545
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Eliu A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster:
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR abs/2012.08545 (2020)
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William Gropp, Sujata Banerjee, Ian T. Foster:
Infrastructure for Artificial Intelligence, Quantum and High Performance Computing. CoRR abs/2012.09303 (2020)

2010 – 2019

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2019
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Raffaele Montella, Diana Di Luccio, Livia Marcellino, Ardelio Galletti, Sokol Kosta, Giulio Giunta, Ian T. Foster:
Workflow-based automatic processing for Internet of Floating Things crowdsourced data. Future Gener. Comput. Syst. 94: 103-119 (2019)
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Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian T. Foster:
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff. IEEE BigData 2019: 3616-3622
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Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster:
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. CCGRID 2019: 122-131
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Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt:
ParaOpt: Automated Application Parameterization and Optimization for the Cloud. CloudCom 2019: 255-262
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Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster:
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. CLUSTER 2019: 1-11
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Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Debra Audus, Shrayesh Patel, Juan de Pablo, Ian T. Foster:
Active Learning Yields Better Training Data for Scientific Named Entity Recognition. eScience 2019: 126-135
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Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Toward an Elastic Data Transfer Infrastructure. eScience 2019: 262-265
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Kyle Chard, Ian T. Foster:
Serverless Science for Simple, Scalable, and Shareable Scholarship. eScience 2019: 432-438
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Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard:
Deconstructing the 2017 Changes to AWS Spot Market Pricing. ScienceCloud@HPDC 2019: 19-26
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Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard:
Parsl: Pervasive Parallel Programming in Python. HPDC 2019: 25-36
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Roselyne B. Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Alexander Belikov, Debra J. Audus, Shrayesh Patel, Juan J. de Pablo, Ian T. Foster:
Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort. ICCS (1) 2019: 398-411
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Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Measurements and analytics of wide-area file transfers over dedicated connections. ICDCN 2019: 183-192
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Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud. ICNP 2019: 1-2
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Raffaele Montella, Diana Di Luccio, Angelo Ciaramella, Ian T. Foster:
StormSeeker: A Machine-Learning-Based Mediterranean Storm Tracer. IDCS 2019: 444-456
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Ian T. Foster:
Coding the Continuum. IPDPS 2019: 1
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Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. IPDPS 2019: 283-292
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Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. KDD 2019: 2385-2393
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Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster:
Serverless Workflows for Indexing Large Scientific Data. WOSC@Middleware 2019: 43-48
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Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses. MLN 2019: 154-174
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Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. XLOOP@SC 2019: 8-13
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Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson:
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC 2019: 11-20
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Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements. INDIS@SC 2019: 17-24
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Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. DLS@SC 2019: 20-28
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Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Aggregating Local Storage for Scalable Deep Learning I/O. DLS@SC 2019: 69-75
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Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
MemXCT: memory-centric X-ray CT reconstruction with massive parallelization. SC 2019: 85:1-85:56
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Sandro Fiore, Donatello Elia, Cosimo Palazzo, Fabrizio Antonio, Alessandro D'Anca, Ian T. Foster, Giovanni Aloisio:
Towards High Performance Data Analytics for Climate Change. ISC Workshops 2019: 240-257
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Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard:
Scalable Parallel Programming in Python with Parsl. PEARC 2019: 22:1-22:8
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William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Ian T. Foster, Lukasz Lacinski, Michael E. Papka, Rick Wagner:
Petrel: A Programmatically Accessible Research Data Service. PEARC 2019: 49:1-49:7
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Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster:
Publishing and Serving Machine Learning Models with DLHub. PEARC 2019: 73:1-73:7
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Mike D'Arcy, Kyle Chard, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Nickolaus D. Saint, Rick Wagner:
Big Data Bags: A Scalable Packaging Format for Science. RO 2019
[i41]
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Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster:
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks. CoRR abs/1902.07582 (2019)
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Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard:
Parsl: Pervasive Parallel Programming in Python. CoRR abs/1905.02158 (2019)
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Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. CoRR abs/1907.03222 (2019)
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Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard:
Serverless Supercomputing: High Performance Function as a Service for Science. CoRR abs/1908.04907 (2019)
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Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. CoRR abs/1910.04081 (2019)
[i36]
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Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. CoRR abs/1911.05878 (2019)
[i35]
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Y. Ye, Richard D. Boyce, M. K. Davis, Keith O. Elliston, Christos Davatzikos, Andrey Fedorov, Jean-Christophe Fillion-Robin, Ian T. Foster, John R. Gilbertson, Mervi Heiskanen, Juli D. Klemm, Andras Lasso, James V. Miller, M. Morgan, Steve Pieper, Brigitte Raumann, B. Sarachan, G. Savova, Jonathan C. Silverstein, D. Taylor, J. Zelnis, G. Q. Zhang, Michael J. Becich:
Open Source Software Sustainability Models: Initial White Paper from the Information Technology for Cancer Research Sustainability and Industry Partnership Work Group. CoRR abs/1912.12371 (2019)
2018
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Sam Nickolay, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster:
Bridging the gap between peak and average loads on science networks. Future Gener. Comput. Syst. 79: 169-179 (2018)
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Joaquin Chung, Eun-Sung Jung, Rajkumar Kettimuthu, Nageswara S. V. Rao, Ian T. Foster, Russ Clark, Henry L. Owen:
Advance reservation access control using software-defined networking and tokens. Future Gener. Comput. Syst. 79: 225-234 (2018)
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Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello:
Transferring a petabyte in a day. Future Gener. Comput. Syst. 88: 191-198 (2018)
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Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Peter H. Beckman:
Toward a smart data transfer node. Future Gener. Comput. Syst. 89: 10-18 (2018)
[j140]
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Kyle Chard, Eli Dart, Ian T. Foster, David J. Shifflett, Steven Tuecke, Jason Williams:
The Modern Research Data Portal: a design pattern for networked, data-intensive science. PeerJ Comput. Sci. 4: e144 (2018)
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Ryan Chard, Ravi K. Madduri, Nicholas T. Karonis, Kyle Chard, Kirk L. Duffin, Caesar E. Ordoñez, Thomas D. Uram, Justin Fleischauer, Ian T. Foster, Michael E. Papka, John Winans:
Scalable pCT Image Reconstruction Delivered as a Cloud Service. IEEE Trans. Cloud Comput. 6(1): 182-195 (2018)
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Deepak Nadig, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao, Byrav Ramamurthy:
Comparative Performance Evaluation of High-performance Data Transfer Tools. ANTS 2018: 1-6
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Sandro Fiore, Donatello Elia, Cosimo Palazzo, Alessandro D'Anca, Fabrizio Antonio, Dean N. Williams, Ian T. Foster, Giovanni Aloisio:
Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale. IEEE BigData 2018: 3226-3234
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Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul G. Beckman, Kyle Chard, Ian T. Foster:
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data. eScience 2018: 256-266
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Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452
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Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard:
Predicting Amazon Spot Prices with LSTM Networks. ScienceCloud@HPDC 2018: 1:1-1:7
[c328]
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Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster:
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. AI-Science@HPDC 2018: 1:1-1:7
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Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary:
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC 2018: 2:1-2:9
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Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao:
Cross-geography scientific data transferring trends and behavior. HPDC 2018: 267-278
[c325]
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  - conf/ic2e/MontellaKF18
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Raffaele Montella, Sokol Kosta, Ian T. Foster:
DYNAMO: Distributed Leisure Yacht-Carried Sensor-Network for Atmosphere and Marine Data Crowdsourcing Applications. IC2E 2018: 333-339
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Joaquin Chung, Rajkumar Kettimuthu, Nageswara S. V. Rao, Ian T. Foster:
Democratizing Network Reservations through Application-Aware Orchestration. ICCCN 2018: 1-9
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Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Yuanlai Liu:
A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility. ICDCS 2018: 1604-1611
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Raffaele Montella, Diana Di Luccio, Sokol Kosta, Giulio Giunta, Ian T. Foster:
Performance, Resilience, and Security in Moving Data from the Fog to the Cloud: The DYNAMO Transfer Framework Approach. IDCS 2018: 197-208
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Yadu N. Babuji, Kyle Chard, Ian T. Foster, Daniel S. Katz, Mike Wilde, Anna Woodard, Justin M. Wozniak:
Parsl: Scalable Parallel Scripting in Python. IWSG 2018
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Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Learning Concave-Convex Profiles of Data Transport over Dedicated Connections. MLN 2018: 1-22
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Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian T. Foster:
Building a Wide-Area File Transfer Performance Predictor: An Empirical Study. MLN 2018: 56-78
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Jiali Han, Jianrong Li, Ikbel Achour, Lorenzo L. Pesce, Ian T. Foster, Haiquan Li, Yves A. Lussier:
Convergent downstream candidate mechanisms of independent intergenic polymorphisms between co-classified diseases implicate epistasis among noncoding elements. PSB 2018: 524-535
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Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Throughput Analytics of Data Transfer Infrastructures. TRIDENTCOM 2018: 20-40
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Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster:
Profiling and Predicting Application Performance on the Cloud. UCC 2018: 21-30
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Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Brendan McCollam, Jim Pruyne, Stephen Rosen, Steven Tuecke, Ian T. Foster:
Globus Platform Services for Data Publication. PEARC 2018: 14:1-14:7
[i34]
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Ravi K. Madduri, Kyle Chard, Michel D'Arcy, Segun Jung, Alexis A. Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory C. Funk, Benjamin D. Heavner, Matthew A. Richards, Paul Shannon, Gustavo Glusman, Nathan D. Price, Carl Kesselman, Ian T. Foster:
Reproducible big data science: A case study in continuous FAIRness. RO 2018
[i33]
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Maria Luiza Mondelli, Thiago Magalhães, Guilherme Loss, Michael Wilde, Ian T. Foster, Marta Mattoso, Daniel S. Katz, Helio J. C. Barbosa, Ana Tereza Ribeiro de Vasconcelos, Kary A. C. S. Ocaña, Luiz M. R. Gadelha Jr.:
BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments. CoRR abs/1801.03915 (2018)
[i32]
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Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. CoRR abs/1811.11213 (2018)
2017
[j138]
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Ryan Chard, Kyle Chard, Rich Wolski, Ravi K. Madduri, Bryan C. K. Ng, Kris Bubendorfer, Ian T. Foster:
Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service. IEEE Cloud Comput. 4(4): 48-59 (2017)
[j137]
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Giuliano Laccetti, Ian T. Foster, Marco Lapegna, Paul Messina, Raffaele Montella, Almerico Murli:
Guest Editorial for Hybrid Parallelism in New HPC Systems. Int. J. Parallel Program. 45(5): 1021-1025 (2017)
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Ardelio Galletti, Raffaele Montella, Livia Marcellino, Angelo Riccio, Diana Di Luccio, Alison Brizius, Ian T. Foster:
Numerical and Implementation Issues in Food Quality Modeling for Human Diseases Prevention. HEALTHINF 2017: 526-534
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Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren, Vincent De Andrade, Francesco De Carlo:
Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments. eScience 2017: 59-68
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Roselyne B. Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua Lequieu, Juan J. de Pablo, Ian T. Foster:
Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline. eScience 2017: 109-118
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Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, Ian T. Foster:
A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices. eScience 2017: 148-157
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Ryan Chard, Kyle Chard, Steven Tuecke, Ian T. Foster:
Software Defined Cyberinfrastructure for Data Management. eScience 2017: 456-457
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Yadu N. Babuji, Kyle Chard, Eamon Duede, Ian T. Foster:
Safe Collections and Stewardship on Cloud Kotta. eScience 2017: 498-503
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Tyler J. Skluzacek, Suhail Rehman, Ian T. Foster:
Safe Double Blind Studies as a Service. eScience 2017: 504-509
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Satyabrata Sen, Nageswara S. V. Rao, Qiang Liu, Neena Imam, Rajkumar Kettimuthu, Ian T. Foster:
On Analytics of File Transfer Rates over Dedicated Wide-Area Connections. eScience 2017: 576-585
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Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19
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Ian T. Foster:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. HiPC 2017: 306
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Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster:
Explaining Wide Area Data Transfer Performance. HPDC 2017: 167-178
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Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Don Towsley, Gayane Vardoyan, Rajkumar Kettimuthu, Ian T. Foster:
TCP Throughput Profiles Using Measurements over Dedicated Connections. HPDC 2017: 193-204
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Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Jesse Hanley, Ian T. Foster, Rajkumar Kettimuthu, Chase Q. Wu, Daqing Yun, Don Towsley, Gayane Vardoyan:
Experiments and Analyses of Data Transfers over Wide-Area Dedicated Connections. ICCCN 2017: 1-9
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Ian T. Foster, Ben Blaiszik, Kyle Chard, Ryan Chard:
Software Defined Cyberinfrastructure. ICDCS 2017: 1808-1814
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Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan:
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS 2017: 1927-1937
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Ryan Chard, Kyle Chard, Jason Alt, Dilworth Y. Parkinson, Steven Tuecke, Ian T. Foster:
Ripple: Home Automation for Research Data Management. ICDCS Workshops 2017: 389-394
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Daihou Wang, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster, David J. Foran, Manish Parashar:
Supporting Real-Time Jobs on the IBM Blue Gene/Q: Simulation-Based Study. JSSPP 2017: 83-102
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Raffaele Montella, Diana Di Luccio, Livia Marcellino, Ardelio Galletti, Sokol Kosta, Alison Brizius, Ian T. Foster:
Processing of crowd-sourced data from an internet of floating things. WORKS@SC 2017: 8:1-8:11
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Arnab Kumar Paul, Steven Tuecke, Ryan Chard, Ali Raza Butt, Kyle Chard, Ian T. Foster:
Toward scalable monitoring on large-scale storage for software defined cyberinfrastructure. PDSW-DISCS@SC 2017: 49-54
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Paul G. Beckman, Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Skluma: A Statistical Learning Pipeline for Taming Unkempt Data Repositories. SSDBM 2017: 41:1-41:4
[c294]
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Kyle Chard, Ian T. Foster, Steven Tuecke:
Globus: Research Data Management as Service and Platform. PEARC 2017: 26:1-26:5
[i31]
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Kyle Chard, Eli Dart, Ian T. Foster, David J. Shifflett, Steven Tuecke, Jason Williams:
The Modern Research Data Portal: A design pattern for networked, data-intensive science. PeerJ Prepr. 5: e3194 (2017)
2016
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Ravi K. Madduri, Ian T. Foster:
Science as a Service [Guest editors' introduction]. Comput. Sci. Eng. 18(5): 8-9 (2016)
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Kyle Chard, Mattias Lidman, Brendan McCollam, Josh Bryan, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster:
Globus Nexus: A Platform-as-a-Service provider of research identity, profile, and group management. Future Gener. Comput. Syst. 56: 571-583 (2016)
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Justin M. Wozniak, Michael Wilde, Ian T. Foster:
Challenges and Opportunities for Dataflow Processing on Exascale Computers. DFM@PACT 2016: 4:1-4:5
[c292]
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Naveen Ashish, Arthur W. Toga, Ian T. Foster, Ivo D. Dinov, Carl Kesselman:
Big Data Technologies for Biomedical Knowledge Discovery. AMIA 2016
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Ian T. Foster:
Reasoning About Discovery Clouds. Petri Nets 2016: 3-10
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Kyle Chard, Mike D'Arcy, Benjamin D. Heavner, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Alexis A. Rodriguez, Stian Soiland-Reyes, Carole A. Goble, Kristi Clark, Eric W. Deutsch, Ivo D. Dinov, Nathan D. Price, Arthur W. Toga:
I'll take that to go: Big data bags and minimal identifiers for exchange of large, complex datasets. IEEE BigData 2016: 319-328
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Ryan Chard, Kyle Chard, Bryan C. K. Ng, Kris Bubendorfer, Alex A. Rodriguez, Ravi K. Madduri, Ian T. Foster:
An Automated Tool Profiling Service for the Cloud. CCGrid 2016: 223-232
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Donatello Elia, Sandro Fiore, Alessandro D'Anca, Cosimo Palazzo, Ian T. Foster, Dean N. Williams, Giovanni Aloisio:
An in-memory based framework for scientific data analytics. Conf. Computing Frontiers 2016: 424-429
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Steven Tuecke, Rachana Ananthakrishnan, Kyle Chard, Mattias Lidman, Brendan McCollam, Stephen Rosen, Ian T. Foster:
Globus auth: A research identity and access management platform. eScience 2016: 203-212
[c286]
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Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Greg Hinkel, Neena Imam, Ian T. Foster, Rajkumar Kettimuthu, Bradley W. Settlemyer, Chase Q. Wu, Daqing Yun:
Experimental Analysis of File Transfer Rates over Wide-Area Dedicated Connections. HPCC/SmartCity/DSS 2016: 198-205
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Ian T. Foster, Kyle Chard, Steven Tuecke:
The Discovery Cloud: Accelerating and Democratizing Research on a Global Scale. IC2E 2016: 68-77
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Roselyne Tchoua, Kyle Chard, Debra Audus, Jian Qin, Juan de Pablo, Ian T. Foster:
A Hybrid Human-computer Approach to the Extraction of Scientific Facts from the Literature. ICCS 2016: 386-397
[c283]
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Qiang Liu, Nageswara S. V. Rao, Chase Q. Wu, Daqing Yun, Rajkumar Kettimuthu, Ian T. Foster:
Measurement-based performance profiles and dynamics of UDT over dedicated connections. ICNP 2016: 1-10
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Prasanna Balaprakash, Vitali A. Morozov, Rajkumar Kettimuthu, Kalyan Kumaran, Ian T. Foster:
Improving Data Transfer Throughput with Direct Search Optimization. ICPP 2016: 248-257
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Rajkumar Kettimuthu, Gagan Agrawal, P. Sadayappan, Ian T. Foster:
Differentiated Scheduling of Response-Critical and Best-Effort Wide-Area Data Transfers. IPDPS 2016: 1113-1122
[c280]
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William Agnew, Michael Fischer, Ian T. Foster, Kyle Chard:
An Ensemble-Based Recommendation Engine for Scientific Data Transfers. DataCloud@SC 2016: 9-16
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Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Klimatic: A Virtual Data Lake for Harvesting and Distribution of Geospatial Data. PDSW-DISCS@SC 2016: 31-36
[c278]
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Raffaele Montella, Alison Brizius, Diana Di Luccio, Cheryl H. Porter, Joshua Elliott, Ravi K. Madduri, David Kelly, Angelo Riccio, Ian T. Foster:
Applications of the FACE-IT Data Science Portal and Workflow Engine for Operational Food Quality Prediction and Assessment: Mussel Farm Monitoring in the Bay of Napoli, Italy. WORKS@SC 2016: 64-68
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Raffaele Montella, Diana Di Luccio, Pasquale Troiano, Angelo Riccio, Alison Brizius, Ian T. Foster:
WaComM: A Parallel Water Quality Community Model for Pollutant Transport and Dispersion Operational Predictions. SITIS 2016: 717-724
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Ivana Marincic, Ian T. Foster:
Energy-efficient data transfer: Bits vs. atoms. SoftCOM 2016: 1-6
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Kyle Chard, Steven Tuecke, Ian T. Foster:
Globus: Recent Enhancements and Future Plans. XSEDE 2016: 27:1-27:8
2015
[j134]
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Vassily Trubetskoy, Alex A. Rodriguez, Uptal J. Dave, Nicholas Campbell, Emily L. Crawford, Edwin H. Cook Jr., James S. Sutcliffe, Ian T. Foster, Ravi K. Madduri, Nancy J. Cox, Lea K. Davis:
Consensus Genotyper for Exome Sequencing (CGES): improving the quality of exome variant genotypes. Bioinform. 31(2): 187-193 (2015)
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Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster, Steven Tuecke:
Globus platform-as-a-service for collaborative science applications. Concurr. Comput. Pract. Exp. 27(2): 290-305 (2015)
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Atilla Soner Balkir, Hüseyin Oktay, Ian T. Foster:
Estimating graph distance and centrality on shared nothing architectures. Concurr. Comput. Pract. Exp. 27(14): 3587-3613 (2015)
[j131]
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Ravi K. Madduri, Kyle Chard, Ryan Chard, Lukasz Lacinski, Alex A. Rodriguez, Dinanath Sulakhe, David Kelly, Utpal J. Dave, Ian T. Foster:
The Globus Galaxies platform: delivering science gateways as a service. Concurr. Comput. Pract. Exp. 27(16): 4344-4360 (2015)
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Raffaele Montella, David Kelly, Wei Xiong, Alison Brizius, Joshua Elliott, Ravi K. Madduri, Ketan Maheshwari, Cheryl H. Porter, Peter Vilter, Michael Wilde, Meng Zhang, Ian T. Foster:
FACE-IT: A science gateway for food security research. Concurr. Comput. Pract. Exp. 27(16): 4423-4436 (2015)
[j129]
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Jia Zhang, Chris Lee, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster:
A community-oriented workflow reuse and recommendation technique. Int. J. Bus. Process. Integr. Manag. 7(3): 197-212 (2015)
[j128]
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Arthur W. Toga, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Kyle Chard, Eric W. Deutsch, Nathan D. Price, Gustavo Glusman, Benjamin D. Heavner, Ivo D. Dinov, Joseph Ames, John D. Van Horn, Roger Kramer, Leroy E. Hood:
Big biomedical data as the key resource for discovery science. J. Am. Medical Informatics Assoc. 22(6): 1126-1131 (2015)
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Quan Pham, Severin Thaler, Tanu Malik, Ian T. Foster, Boris Glavic:
Sharing and Reproducing Database Applications. Proc. VLDB Endow. 8(12): 1988-1991 (2015)
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Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster:
Cost-Aware Elastic Cloud Provisioning for Scientific Workloads. CLOUD 2015: 971-974
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Justin M. Wozniak, Kyle Chard, Ben Blaiszik, Ray Osborn, Michael Wilde, Ian T. Foster:
Big Data Remote Access Interfaces for Light Source Science. BDC 2015: 51-60
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Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing. CLUSTER 2015: 482-485
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Liming Lee, Ian T. Foster, Steven Tuecke:
Building Bridges from the Campus to XSEDE. CLUSTER 2015: 865-868
[c270]
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Ryan Chard, Kyle Chard, Kris Bubendorfer, Lukasz Lacinski, Ravi K. Madduri, Ian T. Foster:
Cost-Aware Cloud Provisioning. e-Science 2015: 136-144
[c269]
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Kyle Chard, Jim Pruyne, Ben Blaiszik, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster:
Globus Data Publication as a Service: Lowering Barriers to Reproducible Science. e-Science 2015: 401-410
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Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Francesco De Carlo, Gagan Agrawal, Ian T. Foster:
Rapid Tomographic Image Reconstruction via Large-Scale Parallelization. Euro-Par 2015: 289-302
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Nageswara S. V. Rao, Don Towsley, Gayane Vardoyan, Bradley W. Settlemyer, Ian T. Foster, Rajkumar Kettimuthu:
Sustained Wide-Area TCP Memory Transfers over Dedicated Connections. HPCC/CSS/ICESS 2015: 1603-1606
[c266]
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Ian T. Foster:
Lessons from Industry for Science Cyberinfrastructure: Simplicity, Scale, and Sustainability via SaaS/PaaS. SCREAM@HPDC 2015: 1-2
[c265]
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Jeremy Fischer, Steven Tuecke, Ian T. Foster, Craig A. Stewart:
Jetstream: A Distributed Cloud Infrastructure for Underresourced higher education communities. SCREAM@HPDC 2015: 53-61
[c264]
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Quan Pham, Tanu Malik, Boris Glavic, Ian T. Foster:
LDV: Light-weight database virtualization. ICDE 2015: 1179-1190
[c263]
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Anthony Simonet, Kyle Chard, Gilles Fedak, Ian T. Foster:
Using Active Data to Provide Smart Data Surveillance to E-Science Users. PDP 2015: 269-273
[c262]
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Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Interlanguage parallel scripting for distributed-memory scientific computing. WORKS@SC 2015: 6:1-6:11
[c261]
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Rajkumar Kettimuthu, Gayane Vardoyan, Gagan Agrawal, P. Sadayappan, Ian T. Foster:
An elegant sufficiency: load-aware differentiated scheduling of data transfers. SC 2015: 46:1-46:12
[c260]
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Craig A. Stewart, Timothy M. Cockerill, Ian T. Foster, David Y. Hancock, Nirav C. Merchant, Edwin Skidmore, Daniel Stanzione, James Taylor, Steven Tuecke, George W. Turner, Matthew Vaughn, Niall I. Gaffney:
Jetstream: a self-provisioned, scalable science and engineering cloud environment. XSEDE 2015: 29:1-29:8
2014
[j126]
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Megan J. Puckelwartz, Lorenzo L. Pesce, Viswateja Nelakuditi, Lisa Dellefave-Castillo, Jessica R. Golbus, Sharlene M. Day, Thomas P. Cappola, Gerald W. Dorn II, Ian T. Foster, Elizabeth M. McNally:
Supercomputing for the parallelization of whole genome analysis. Bioinform. 30(11): 1508-1513 (2014)
[j125]
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Kyle Chard, Steven Tuecke, Ian T. Foster:
Efficient and Secure Transfer, Synchronization, and Sharing of Big Data. IEEE Cloud Comput. 1(3): 46-55 (2014)
[j124]
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Judy Qiu, Ian T. Foster, Ronald C. Taylor:
Special Issue for Emerging Computational Methods for the Life Sciences Workshop. Concurr. Comput. Pract. Exp. 26(4): 851-853 (2014)
[j123]
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Judy Qiu, Ian T. Foster, Carole A. Goble:
Emerging Computational Methods for the Life Sciences Workshop 2012. Concurr. Comput. Pract. Exp. 26(6): 1231-1233 (2014)
[j122]
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Ravi K. Madduri, Dinanath Sulakhe, Lukasz Lacinski, Bo Liu, Alex A. Rodriguez, Kyle Chard, Utpal J. Dave, Ian T. Foster:
Experiences building Globus Genomics: a next-generation sequencing analysis service using Galaxy, Globus, and Amazon Web Services. Concurr. Comput. Pract. Exp. 26(13): 2266-2279 (2014)
[j121]
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John Towns, Timothy Cockerill, Maytal Dahan, Ian T. Foster, Kelly P. Gaither, Andrew S. Grimshaw, Victor Hazlewood, Scott A. Lathrop, David Lifka, Gregory D. Peterson, Ralph Roskies, J. Ray Scott, Nancy Wilkins-Diehr:
XSEDE: Accelerating Scientific Discovery. Comput. Sci. Eng. 16(5): 62-74 (2014)
[j120]
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Charlie Catlett, Tanu Malik, Brett Goldstein, Jonathan Giuffrida, Yetong Shao, Alessandro Panella, Derek Eder, Eric van Zanten, Robert Mitchum, Severin Thaler, Ian T. Foster:
Plenario: An Open Data Discovery and Exploration Platform for Urban Science. IEEE Data Eng. Bull. 37(4): 27-42 (2014)
[j119]
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Joshua Elliott, David Kelly, James Chryssanthacopoulos, Michael Glotter, Kanika Jhunjhnuwala, Neil Best, Michael Wilde, Ian T. Foster:
The parallel system for integrating impact models and sectors (pSIMS). Environ. Model. Softw. 62: 509-516 (2014)
[j118]
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Vincent Gardeux, Ikbel Achour, Jianrong Li, Mark Maienschein-Cline, Haiquan Li, Lorenzo L. Pesce, Gurunadh Parinandi, Neil Bahroos, Robert Winn, Ian T. Foster, Joe G. N. Garcia, Yves A. Lussier:
'N-of-1-pathways' unveils personal deregulated mechanisms from a single pair of RNA-Seq samples: towards precision medicine. J. Am. Medical Informatics Assoc. 21(6): 1015-1025 (2014)
[j117]
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Bo Liu, Ravi K. Madduri, Borja Sotomayor, Kyle Chard, Lukasz Lacinski, Utpal J. Dave, Jianqiang Li, Chunchen Liu, Ian T. Foster:
Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses. J. Biomed. Informatics 49: 119-133 (2014)
[j116]
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Dinanath Sulakhe, Andrew Taylor, Sandhya Balasubramanian, Bo Feng, Bingqing Xie, Daniela Börnigen, Utpal J. Dave, Ian T. Foster, T. Conrad Gilliam, Natalia Maltsev:
Lynx web services for annotations and systems analysis of multi-gene disorders. Nucleic Acids Res. 42(Webserver-Issue): 473-477 (2014)
[c259]
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Justin M. Wozniak, Hemant Sharma, Timothy G. Armstrong, Michael Wilde, Jonathan D. Almer, Ian T. Foster:
Big Data Staging with MPI-IO for Interactive X-ray Science. BDC 2014: 26-34
[c258]
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Timothy G. Armstrong, Justin M. Wozniak, Michael Wilde, Ian T. Foster:
Compiler Optimization for Extreme-Scale Scripting. CCGRID 2014: 571-574
[c257]
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Kyle Chard, Mattias Lidman, Josh Bryan, Tom Howe, Brendan McCollam, Rachana Ananthakrishnan, Steven Tuecke, Ian T. Foster:
Globus Nexus: Research Identity, Profile, and Group Management as a Service. eScience 2014: 31-38
[c256]
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Ian T. Foster, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ray Osborn, Steven Tuecke, Michael Wilde, Justin M. Wozniak:
Networking Materials Data: Accelerating Discovery at Experimental Facilities. High Performance Computing Workshop 2014: 117-132
[c255]
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Sandro Fiore, Alessandro D'Anca, Donatello Elia, Cosimo Palazzo, Dean N. Williams, Ian T. Foster, Giovanni Aloisio:
Ophidia: A full software stack for scientific data analytics. HPCS 2014: 343-350
[c254]
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Scott J. Krieder, Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Benjamin Grimmer, Ian T. Foster, Ioan Raicu:
Design and evaluation of the gemtc framework for GPU-enabled many-task computing. HPDC 2014: 153-164
[c253]
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Tanu Malik, Kyle Chard, Ian T. Foster:
Benchmarking cloud-based tagging services. ICDE Workshops 2014: 231-238
[c252]
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Quan Pham, Tanu Malik, Ian T. Foster:
Auditing and Maintaining Provenance in Software Packages. IPAW 2014: 97-109
[c251]
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Kyle Chard, Ravi K. Madduri, Xia Jiang, Farid Dahi, Michael W. Vannier, Ian T. Foster:
A cloud-based image analysis gateway for traumatic brain injury research. GCE@SC 2014: 13-16
[c250]
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Raffaele Montella, Alison Brizius, Joshua Elliott, David Kelly, Ravi K. Madduri, Ketan Maheshwari, Cheryl H. Porter, Peter Vilter, Michael Wilde, Wei Xiong, Meng Zhang, Ian T. Foster:
FACE-IT: a science gateway for food security research. GCE@SC 2014: 42-46
[c249]
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Timothy G. Armstrong, Justin M. Wozniak, Michael Wilde, Ian T. Foster:
Compiler Techniques for Massively Scalable Implicit Task Parallelism. SC 2014: 299-310
[c248]
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Jia Zhang, Chris Lee, Sean Xiao, Petr Votava, Tsengdar J. Lee, Ramakrishna R. Nemani, Ian T. Foster:
A Community-Driven Workflow Recommendations and Reuse Infrastructure. SOSE 2014: 162-172
2013
[j115]
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Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Ewing L. Lusk, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Turbine: A Distributed-memory Dataflow Engine for High Performance Many-task Applications. Fundam. Informaticae 128(3): 337-366 (2013)
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Sandro Fiore, Cosimo Palazzo, Alessandro D'Anca, Ian T. Foster, Dean N. Williams, Giovanni Aloisio:
A big data analytics framework for scientific data management. IEEE BigData 2013: 1-8
[c246]
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Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Ewing L. Lusk, Ian T. Foster:
Swift/T: Large-Scale Application Composition via Distributed-Memory Dataflow Processing. CCGRID 2013: 95-102
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Rachana Ananthakrishnan, Josh Bryan, Kyle Chard, Ian T. Foster, Tom Howe, Mattias Lidman, Steven Tuecke:
Globus Nexus: An identity, profile, and group management platform for science gateways and other collaborative science applications. CLUSTER 2013: 1-3
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Ketan Maheshwari, Alex A. Rodriguez, David Kelly, Ravi K. Madduri, Justin M. Wozniak, Michael Wilde, Ian T. Foster:
Enabling multi-task computation on Galaxy-based gateways using swift. CLUSTER 2013: 1-3
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Richard Whaling, Tanu Malik, Ian T. Foster:
Lens: A Faceted Browser for Research Networking Platforms. e-Science 2013: 196-203
[c242]
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Luiz M. R. Gadelha Jr., Michael Wilde, Marta Mattoso, Ian T. Foster:
Provenance traces of the swift parallel scripting system. EDBT/ICDT Workshops 2013: 325-326
[c241]
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Ian T. Foster, Ravi K. Madduri:
Science as a service: how on-demand computing can accelerate discovery. ScienceCloud@HPDC 2013: 1-2
[c240]
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Zhao Zhang, Daniel S. Katz, Michael Wilde, Justin M. Wozniak, Ian T. Foster:
MTC envelope: defining the capability of large scale computers in the context of parallel scripting applications. HPDC 2013: 37-48
[c239]
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Sandro Fiore, Alessandro D'Anca, Cosimo Palazzo, Ian T. Foster, Dean N. Williams, Giovanni Aloisio:
Ophidia: Toward Big Data Analytics for eScience. ICCS 2013: 2376-2385
[c238]
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Ian T. Foster:
HPCS 2013 Keynotes: Tuesday keynote: Big process for big data. HPCS 2013
[c237]
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Ian T. Foster:
HPCS 2013 tutorials: Tutorial I: Globus online: Research data management as a service. HPCS 2013
[c236]
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Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Ewing L. Lusk, Ian T. Foster:
Swift/T: scalable data flow programming for many-task applications. PPoPP 2013: 309-310
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Justin M. Wozniak, Tom Peterka, Timothy G. Armstrong, James Dinan, Ewing L. Lusk, Michael Wilde, Ian T. Foster:
Dataflow coordination of data-parallel tasks via MPI 3.0. EuroMPI 2013: 1-6
[c234]
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Zhao Zhang, Daniel S. Katz, Timothy G. Armstrong, Justin M. Wozniak, Ian T. Foster:
Parallelizing the execution of sequential scripts. SC 2013: 31:1-31:12
[c233]
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Dinanath Sulakhe, Alex A. Rodriguez, Nick Prozorovsky, Nilesh Kavthekar, Ravi K. Madduri, Amol Parikh, Paul Dave, Lukasz Lacinski, Ian T. Foster:
Distributed tools deployment and management for multiple galaxy instances in globus genomics. WORKS@SC 2013: 106-111
[c232]
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Quan Pham, Tanu Malik, Ian T. Foster:
Using Provenance for Repeatability. TaPP 2013
[c231]
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Joshua Elliott, David Kelly, Neil Best, Michael Wilde, Michael Glotter, Ian T. Foster:
The parallel system for integrating impact models and sectors (pSIMS). XSEDE 2013: 21:1-21:8
[c230]
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Ravi K. Madduri, Paul Dave, Dinanath Sulakhe, Lukasz Lacinski, Bo Liu, Ian T. Foster:
Experiences in building a next-generation sequencing analysis service using galaxy, globus online and Amazon web service. XSEDE 2013: 34:1-34:3
[e8]
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Erik H. D'Hollander, Jack J. Dongarra, Ian T. Foster, Lucio Grandinetti, Gerhard R. Joubert:
Transition of HPC Towards Exascale Computing - Selected Papers from the High Performance Computing Workshop, Cetraro, Italy, June 25-29, 2012. Advances in Parallel Computing 24, IOS Press 2013, ISBN 978-1-61499-323-0 [contents]
2012
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Bryce Allen, John Bresnahan, Lisa Childers, Ian T. Foster, Gopi Kandaswamy, Rajkumar Kettimuthu, Jack Kordas, Mike Link, Stuart Martin, Karl Pickett, Steven Tuecke:
Software as a service for data scientists. Commun. ACM 55(2): 81-88 (2012)
[j113]
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Luiz M. R. Gadelha Jr., Michael Wilde, Marta Mattoso, Ian T. Foster:
MTCProv: a practical provenance query framework for many-task scientific computing. Distributed Parallel Databases 30(5-6): 351-370 (2012)
[c229]
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Ketan Maheshwari, Allan Espinosa, Daniel S. Katz, Michael Wilde, Zhao Zhang, Ian T. Foster, Scott Callaghan, Philip Maechling:
Job and data clustering for aggregate use of multiple production cyberinfrastructures. DICT@HPDC 2012: 3-12
[c228]
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Tanu Malik, Ian T. Foster:
Addressing data access needs of the long-tail distribution of geoscientists. IGARSS 2012: 5348-5351
[c227]
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Quan Pham, Tanu Malik, Ian T. Foster, Roberto Di Lauro, Raffaele Montella:
SOLE: Linking Research Papers with Science Objects. IPAW 2012: 203-208
[c226]
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Rajkumar Kettimuthu, Lukasz Lacinski, Mike Link, Karl Pickett, Steven Tuecke, Ian T. Foster:
Instant GridFTP. IPDPS Workshops 2012: 1104-1112
[c225]
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Zhengyang Liu, Malathi Veeraraghavan, Zhenzhen Yan, Chris Tracy, Jing Tie, Ian T. Foster, John M. Dennis, Jason Hick, Yee-Ting Li, W. Yang:
On using virtual circuits for GridFTP transfers. SC 2012: 81
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Zhao Zhang, Daniel S. Katz, Justin M. Wozniak, Allan Espinosa, Ian T. Foster:
Design and analysis of data management in scalable parallel scripting. SC 2012: 85
[c223]
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Bo Liu, Borja Sotomayor, Ravi K. Madduri, Kyle Chard, Ian T. Foster:
Deploying Bioinformatics Workflows on Clouds with Galaxy and Globus Provision. SC Companion 2012: 1087-1095
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Robert L. Jacob, Jayesh Krishna, Xiabing Xu, Sheri A. Mickelson, Tim Tautges, Mike Wilde, Robert Latham, Ian T. Foster, Robert B. Ross, Mark Hereld, Jay Walter Larson, Pavel B. Bochev, Kara Peterson, Mark A. Taylor, Karen Schuchardt, Jian Yin, Don Middleton, Mary Haley, David Brown, Wei Huang, Dennis G. Shea, Richard Brownrigg, Mariana Vertenstein, Kwan-Liu Ma, Jingrong Xie:
Abstract: Bringing Task and Data Parallelism to Analysis of Climate Model Output. SC Companion 2012: 1493-1494
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Robert L. Jacob, Jayesh Krishna, Xiabing Xu, Sheri A. Mickelson, Tim Tautges, Mike Wilde, Robert Latham, Ian T. Foster, Robert B. Ross, Mark Hereld, Jay Walter Larson, Pavel B. Bochev, Kara Peterson, Mark A. Taylor, Karen Schuchardt, Jian Yin, Don Middleton, Mary Haley, David Brown, Wei Huang, Dennis G. Shea, Richard Brownrigg, Mariana Vertenstein, Kwan-Liu Ma, Jingrong Xie:
Poster: Bringing Task and Data Parallelism to Analysis of Climate Model Output. SC Companion 2012: 1495
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Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Ewing L. Lusk, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Turbine: a distributed-memory dataflow engine for extreme-scale many-task applications. SWEET@SIGMOD 2012: 5
[c219]
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Craig A. Stewart, Richard Knepper, James Ferguson, Felix Bachmann, Ian T. Foster, Andrew S. Grimshaw, Victor Hazlewood, David Lifka:
What is campus bridging and what is XSEDE doing about it? XSEDE 2012: 47:1-47:8
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Ian T. Foster, Rajkumar Kettimuthu, Stuart Martin, Steven Tuecke, Daniel Milroy, Brock Palen, Thomas Hauser, Jazcek Braden:
Campus bridging made easy via Globus services. XSEDE 2012: 50:1-50:8
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Ian T. Foster, Vas Vasiliadis:
SaaS for science: the path to reality for research in the cloud. XSEDE 2012: 66:1
2011
[j112]
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Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian T. Foster:
Moving huge scientific datasets over the Internet. Concurr. Comput. Pract. Exp. 23(18): 2404-2420 (2011)
[j111]
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Luiz M. R. Gadelha Jr., Ben Clifford, Marta Mattoso, Michael Wilde, Ian T. Foster:
Provenance management in Swift. Future Gener. Comput. Syst. 27(6): 775-780 (2011)
[j110]
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Ian T. Foster, Péter Kacsuk:
Editors' Message. J. Grid Comput. 9(1): 1-2 (2011)
[j109]
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Ian T. Foster:
Globus Online: Accelerating and Democratizing Science through Cloud-Based Services. IEEE Internet Comput. 15(3): 70-73 (2011)
[j108]
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Karl G. Helmer, José Luis Ambite, Joseph Ames, Rachana Ananthakrishnan, Gully Burns, Ann L. Chervenak, Ian T. Foster, Lee Liming, David B. Keator, Fabio Macciardi, Ravi K. Madduri, John-Paul Navarro, Steven G. Potkin, Bruce R. Rosen, Seth Ruffins, Robert Schuler, Jessica A. Turner, Arthur W. Toga, Christina Williams, Carl Kesselman:
Enabling collaborative research using the Biomedical Informatics Research Network (BIRN). J. Am. Medical Informatics Assoc. 18(4): 416-422 (2011)
[j107]
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Michael Wilde, Mihael Hategan, Justin M. Wozniak, Ben Clifford, Daniel S. Katz, Ian T. Foster:
Swift: A language for distributed parallel scripting. Parallel Comput. 37(9): 633-652 (2011)
[j106]
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Gabriela Turcu, Ian T. Foster, Svetlozar Nestorov:
Reshaping text data for efficient processing on Amazon EC2. Sci. Program. 19(2-3): 133-145 (2011)
[j105]
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Ioan Raicu, Ian T. Foster, Yong Zhao:
Guest Editors' Introduction: Special Section on Many-Task Computing. IEEE Trans. Parallel Distributed Syst. 22(6): 897-898 (2011)
[j104]
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Adriana Iamnitchi, Matei Ripeanu, Elizeu Santos-Neto, Ian T. Foster:
The Small World of File Sharing. IEEE Trans. Parallel Distributed Syst. 22(7): 1120-1134 (2011)
[c216]
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Jia Zhang, Wei Tan, John Alexander, Ian T. Foster, Ravi K. Madduri:
Recommend-As-You-Go: A Novel Approach Supporting Services-Oriented Scientific Workflow Reuse. IEEE SCC 2011: 48-55
[c215]
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Wei Tan, Jia Zhang, Ravi K. Madduri, Ian T. Foster, David De Roure:
Providing Map and GPS Assistance to Service Composition in Bioinformatics. IEEE SCC 2011: 608-615
[c214]
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Wei Tan, Jia Zhang, Ravi K. Madduri, Ian T. Foster, David De Roure, Carole A. Goble:
ServiceMap: Providing Map and GPS Assistance to Service Composition in Bioinformatics. IEEE SCC 2011: 632-639
[c213]
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Tanu Malik, Neil Best, Joshua Elliott, Ravi K. Madduri, Ian T. Foster:
Improving the efficiency of subset queries on raster images. GIS-HPDGIS 2011: 34-37
[c212]
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Atilla Soner Balkir, Ian T. Foster, Andrey Rzhetsky:
A distributed look-up architecture for text mining applications using mapreduce. HPDC 2011: 279-280
[c211]
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Jia Zhang, Ravi K. Madduri, Wei Tan, Kevin Deichl, John Alexander, Ian T. Foster:
Toward Semantics Empowered Biomedical Web Services. ICWS 2011: 371-378
[c210]
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John Bresnahan, Michael Link, Rajkumar Kettimuthu, Ian T. Foster:
Managed GridFTP. IPDPS Workshops 2011: 907-913
[c209]
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Atilla Soner Balkir, Ian T. Foster, Andrey Rzhetsky:
A distributed look-up architecture for text mining applications using MapReduce. SC 2011: 59:1-59:11
[c208]
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Zhao Zhang, Daniel S. Katz, Matei Ripeanu, Michael Wilde, Ian T. Foster:
AME: an anyscale many-task computing engine. WORKS@SC 2011: 137-146
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Luiz M. R. Gadelha Jr., Marta Mattoso, Michael Wilde, Ian T. Foster:
Provenance Query Patterns for Many-Task Scientific Computing. TaPP 2011
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Allan Espinosa, Daniel S. Katz, Michael Wilde, Ketan Maheshwari, Ian T. Foster, Scott Callaghan, Philip Maechling:
Data-intensive CyberShake computations on an opportunistic cyberinfrastructure. TG 2011: 14:1-14:2
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Rajkumar Kettimuthu, Steven Link, John Bresnahan, Michael Link, Ian T. Foster:
Globus XIO pipe open driver: enabling GridFTP to leverage standard Unix tools. TG 2011: 20:1-20:7
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Ian T. Foster, Wolfgang Gentzsch, Lucio Grandinetti, Gerhard R. Joubert:
High Performance Computing: From Grids and Clouds to Exascale - Selected Papers from the High Performance Computing Workshop, Cetraro, Italy, June 21-25, 2010. Advances in Parallel Computing 20, IOS Press 2011, ISBN 978-1-60750-802-1 [contents]
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Bharadwaj Veeravalli, Ian T. Foster:
Proceedings of the 17th IEEE International Conference on Networks, ICON 2011, Singapore, December 14-16, 2011. IEEE 2011, ISBN 978-1-4577-1824-3 [contents]
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Ioan Raicu, Ian T. Foster, Yong Zhao:
Proceedings of the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers, MTAGS@SC 2011, Seattle, Washington, USA, November 14, 2011. ACM 2011, ISBN 978-1-4503-1145-8 [contents]
2010
[j103]
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Wei Tan, Ravi K. Madduri, Aleksandra Nenadic, Stian Soiland-Reyes, Dinanath Sulakhe, Ian T. Foster, Carole A. Goble:
caGrid Workflow Toolkit: A Taverna based workflow tool for cancer Grid. BMC Bioinform. 11: 542 (2010)
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Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang, Kamil Iskra, Peter H. Beckman, Yong Zhao, Alexander S. Szalay, Alok N. Choudhary, Philip Little, Christopher Moretti, Amitabh Chaudhary, Douglas Thain:
Middleware support for many-task computing. Clust. Comput. 13(3): 291-314 (2010)
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Wei Tan, Jia Zhang, Ian T. Foster:
Network Analysis of Scientific Workflows: A Gateway to Reuse. Computer 43(9): 54-61 (2010)
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Matei Ripeanu, Adriana Iamnitchi, Ian T. Foster, Anne Rogers:
In search of simplicity: a self-organizing group communication overlay. Concurr. Comput. Pract. Exp. 22(7): 788-815 (2010)
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Wei Tan, Paolo Missier, Ian T. Foster, Ravi K. Madduri, David De Roure, Carole A. Goble:
A comparison of using Taverna and BPEL in building scientific workflows: the case of caGrid. Concurr. Comput. Pract. Exp. 22(9): 1098-1117 (2010)
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Pavan Balaji, Wu-chun Feng, Heshan Lin, Jeremy S. Archuleta, Satoshi Matsuoka, Andrew S. Warren, João Carlos Setubal, Ewing L. Lusk, Rajeev Thakur, Ian T. Foster, Daniel S. Katz, Shantenu Jha, K. Shinpaugh, Susan Coghlan, Daniel A. Reed:
Global-scale distributed I/O with ParaMEDIC. Concurr. Comput. Pract. Exp. 22(16): 2266-2281 (2010)
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Ian T. Foster, Carl Kesselman:
The History of the Grid. High Performance Computing Workshop 2010: 3-30
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Rajkumar Kettimuthu, Alex Sim, Dan Gunter, Bill Allcock, Peer-Timo Bremer, John Bresnahan, Andrew Cherry, Lisa Childers, Eli Dart, Ian T. Foster, Kevin Harms, Jason Hick, Jason Lee, Michael Link, Jeff Long, Keith Miller, Vijaya Natarajan, Valerio Pascucci, Ken Raffenetti, David Ressman, Dean N. Williams, Loren Wilson, Linda Winkler:
Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network. HPDC 2010: 316-319
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Gabriela Turcu, Ian T. Foster, Svetlozar Nestorov:
Reshaping text data for efficient processing on Amazon EC2. HPDC 2010: 435-444
[c201]
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Wantao Liu, Brian Tieman, Rajkumar Kettimuthu, Ian T. Foster:
A data transfer framework for large-scale science experiments. HPDC 2010: 717-724
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Wantao Liu, Rajkumar Kettimuthu, Bo Li, Ian T. Foster:
An adaptive strategy for scheduling data-intensive applications in Grid environments. ICT 2010: 642-649
[c199]
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Luiz M. R. Gadelha Jr., Marta Mattoso, Michael Wilde, Ian T. Foster:
Towards a Threat Model for Provenance in e-Science. IPAW 2010: 277-279
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Timothy G. Armstrong, Zhao Zhang, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Scheduling many-task workloads on supercomputers: Dealing with trailing tasks. MTAGS@SC 2010: 1-10
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Raffaele Montella, Ian T. Foster:
Using Hybrid Grid/Cloud Computing Technologies for Environmental Data Elastic Storage, Processing, and Provisioning. Handbook of Cloud Computing 2010: 595-618

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Michael Wilde, Ian T. Foster, Kamil Iskra, Peter H. Beckman, Zhao Zhang, Allan Espinosa, Mihael Hategan, Ben Clifford, Ioan Raicu:
Parallel Scripting for Applications at the Petascale and Beyond. Computer 42(11): 50-60 (2009)
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Bo Lang, Ian T. Foster, Frank Siebenlist, Rachana Ananthakrishnan, Timothy Freeman:
A Flexible Attribute Based Access Control Method for Grid Computing. J. Grid Comput. 7(2): 169-180 (2009)
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Borja Sotomayor, Rubén S. Montero, Ignacio Martín Llorente, Ian T. Foster:
Virtual Infrastructure Management in Private and Hybrid Clouds. IEEE Internet Comput. 13(5): 14-22 (2009)
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Ian T. Foster, Savas Parastatidis, Paul Watson, Mark McKeown:
How Do I Model State? Let Me Count the Ways. ACM Queue 7(2): 54-55 (2009)
[j93]
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Ann L. Chervenak, Robert Schuler, Matei Ripeanu, Muhammad Ali Amer, Shishir Bharathi, Ian T. Foster, Adriana Iamnitchi, Carl Kesselman:
The Globus Replica Location Service: Design and Experience. IEEE Trans. Parallel Distributed Syst. 20(9): 1260-1272 (2009)
[c197]
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Ian T. Foster:
Computing Outside the Box. ACSC 2009: 3
[c196]
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Ian T. Foster:
Computing Outside the Box. AusGrid 2009: 3
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Zhengxiong Hou, Jing Tie, Xingshe Zhou, Ian T. Foster, Mike Wilde:
ADEM: Automating deployment and management of application software on the Open Science Grid. GRID 2009: 130-137
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Wantao Liu, Rajkumar Kettimuthu, Brian Tieman, Ravi K. Madduri, Bo Li, Ian T. Foster:
GridFTP GUI: An Easy and Efficient Way to Transfer Data in Grid. GridNets 2009: 57-66
[c193]
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Borja Sotomayor, Rubén S. Montero, Ignacio Martín Llorente, Ian T. Foster:
Resource Leasing and the Art of Suspending Virtual Machines. HPCC 2009: 59-68
[c192]
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Zhengxiong Hou, Michael Wilde, Mihael Hategan, Xingshe Zhou, Ian T. Foster, Ben Clifford:
Experiences of On-Demand Execution for Large Scale Parameter Sweep Applications on OSG by Swift. HPCC 2009: 527-532
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Ioan Raicu, Ian T. Foster, Yong Zhao, Philip Little, Christopher Moretti, Amitabh Chaudhary, Douglas Thain:
The quest for scalable support of data-intensive workloads in distributed systems. HPDC 2009: 207-216
[c190]
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Ian T. Foster:
Computing outside the box. ICS 2009: 3
[c189]
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Kyle Chard, Wei Tan, Joshua Boverhof, Ravi K. Madduri, Ian T. Foster:
Wrap Scientific Applications as WSRF Grid Services Using gRAVI. ICWS 2009: 83-90
[c188]
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Wei Tan, Kyle Chard, Dinanath Sulakhe, Ravi K. Madduri, Ian T. Foster, Stian Soiland-Reyes, Carole A. Goble:
Scientific Workflows as Services in caGrid: A Taverna and gRAVI Approach. ICWS 2009: 413-420
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Lee Liming, John-Paul Navarro, Eric Blau, Jason Brechin, Charlie Catlett, Maytal Dahan, Diana Diehl, Rion Dooley, Michael Dwyer, Kate Ericson, Ian T. Foster, Ed Hanna, David L. Hart, Chris Jordan, Rob Light, Stuart Martin, John McGee, Laura Pearlman, Jason Reilly, Tom Scavo, Michael Shapiro, Shava Smallen, Warren Smith, Nancy Wilkins-Diehr:
TeraGrid's integrated information service. SC-GCE 2009
[c186]
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Frank Siebenlist, Rachana Ananthakrishnan, David E. Bernholdt, Luca Cinquini, Ian T. Foster, Don Middleton, Neill Miller, Dean N. Williams:
Enhancing the earth system grid security infrastructure through single sign-on and autoprovisioning. SC-GCE 2009
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Ioan Raicu, Ian T. Foster, Yong Zhao:
Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers, MTAGS 2009, November 16, 2009, Portland, Oregon, USA. ACM 2009, ISBN 978-1-60558-714-1 [contents]
[i30]
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Ian T. Foster, Yong Zhao, Ioan Raicu, Shiyong Lu:
Cloud Computing and Grid Computing 360-Degree Compared. CoRR abs/0901.0131 (2009)
[i29]
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Zhao Zhang, Allan Espinosa, Kamil Iskra, Ioan Raicu, Ian T. Foster, Michael Wilde:
Design and Evaluation of a Collective IO Model for Loosely Coupled Petascale Programming. CoRR abs/0901.0134 (2009)
2008
[j92]
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Ian T. Foster, Savas Parastatidis, Paul Watson, Mark McKeown:
How do I model state?: Let me count the ways. Commun. ACM 51(9): 34-41 (2008)
[j91]
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Yu Cheng, Alberto Leon-Garcia, Ian T. Foster:
Toward an Autonomic Service Management Framework: A Holistic Vision of SOA, AON, and Autonomic Computing. IEEE Commun. Mag. 46(5): 138-146 (2008)
[j90]
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Joel H. Saltz, Tahsin M. Kurç, Shannon Hastings, Stephen Langella, Scott Oster, David Ervin, Ashish Sharma, Tony Pan, Metin N. Gurcan, Justin Permar, Renato Ferreira, Philip R. O. Payne, Ümit V. Çatalyürek, Enrico Caserta, Gustavo Leone, Michael C. Ostrowski, Ravi K. Madduri, Ian T. Foster, Subhasree Madhavan, Kenneth H. Buetow, Krishnakant Shanbhag, Eliot L. Siegel:
e-Science, caGrid, and Translational Biomedical Research. Computer 41(11): 58-66 (2008)
[j89]
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Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia, Susan B. Davidson, Ewa Deelman, Luciano A. Digiampietri, Ian T. Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole A. Goble, Jennifer Golbeck, Paul Groth, David A. Holland, Sheng Jiang, Jihie Kim, David Koop, Ales Krenek, Timothy M. McPhillips, Gaurang Mehta, Simon Miles, Dominic Metzger, Steve Munroe, Jim Myers, Beth Plale, Norbert Podhorszki, Varun Ratnakar, Emanuele Santos, Carlos Eduardo Scheidegger, Karen Schuchardt, Margo I. Seltzer, Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao:
Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 20(5): 409-418 (2008)
[j88]
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Ben Clifford, Ian T. Foster, Jens-S. Vöckler, Michael Wilde, Yong Zhao:
Tracking provenance in a virtual data grid. Concurr. Comput. Pract. Exp. 20(5): 565-575 (2008)
[j87]
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Robert T. Fisher, Leo P. Kadanoff, Don Q. Lamb, Anshu Dubey, Tomasz Plewa, Alan C. Calder, Fausto Cattaneo, Peter Constantin, Ian T. Foster, Michael E. Papka, Snezhana I. Abarzhi, Shimon M. Asida, Paul M. Rich, Chad C. Glendenin, Katie Antypas, Daniel J. Sheeler, Lynn B. Reid, Brad Gallagher, Shawn G. Needham:
Terascale turbulence computation using the FLASH3 application framework on the IBM Blue Gene/L system. IBM J. Res. Dev. 52(1-2): 127-136 (2008)
[j86]
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Li Qi, Hai Jin, Ian T. Foster, Jarek Gawor:
Provisioning for Dynamic Instantiation of Community Services. IEEE Internet Comput. 12(2): 29-36 (2008)
[j85]
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Wei Tan, Ian T. Foster, Ravi K. Madduri:
Combining the Power of Taverna and caGrid: Scientific Workflows that Enable Web-Scale Collaboration. IEEE Internet Comput. 12(6): 61-68 (2008)
[j84]
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Scott Oster, Stephen Langella, Shannon Hastings, David Ervin, Ravi K. Madduri, Joshua Phillips, Tahsin M. Kurç, Frank Siebenlist, Peter A. Covitz, Krishnakant Shanbhag, Ian T. Foster, Joel H. Saltz:
Model Formulation: caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical Research. J. Am. Medical Informatics Assoc. 15(2): 138-149 (2008)
[j83]
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Dinanath Sulakhe, Alex A. Rodriguez, Michael Wilde, Ian T. Foster, Natalia Maltsev:
Interoperability of GADU in Using Heterogeneous Grid Resources for Bioinformatics Applications. IEEE Trans. Inf. Technol. Biomed. 12(2): 241-246 (2008)
[c185]
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Ian T. Foster:
From the heroic to the logistical: programming model implications of new supercomputing applications. CLADE 2008: 57-58
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Gabriela Turcu, Svetlozar Nestorov, Ian T. Foster:
Efficient Incremental Maintenance of Derived Relations and BLAST Computations in Bioinformatics Data Warehouses. DaWaK 2008: 135-145
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Rajkumar Kettimuthu, Wantao Liu, Frank Siebenlist, Ian T. Foster:
Communicating Security Assertions over the GridFTP Control Channel. eScience 2008: 426-427
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Kyle Chard, Cem Onyuksel, Wei Tan, Dinanath Sulakhe, Ravi K. Madduri, Ian T. Foster:
Build Grid Enabled Scientific Workflows Using gRAVI and Taverna. eScience 2008: 614-619
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Joel H. Saltz, Shannon Hastings, Stephen Langella, Scott Oster, Tahsin M. Kurç, Philip R. O. Payne, Renato Ferreira, Beth Plale, Carole A. Goble, David Ervin, Ashish Sharma, Tony Pan, Justin Permar, Peter Brezany, Frank Siebenlist, Ravi K. Madduri, Ian T. Foster, Krishnakant Shanbhag, Charlie Mead, Neil P. Chue Hong:
A Roadmap for caGrid, an Enterprise Grid Architecture for Biomedical Research. HealthGrid 2008: 224-237
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Borja Sotomayor, Kate Keahey, Ian T. Foster:
Combining batch execution and leasing using virtual machines. HPDC 2008: 87-96
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Gaurav Khanna, Ümit V. Çatalyürek, Tahsin M. Kurç, P. Sadayappan, Joel H. Saltz, Rajkumar Kettimuthu, Ian T. Foster:
Multi-hop path splitting and multi-pathing optimizations for data transfers over shared wide-area networks using gridFTP. HPDC 2008: 225-226
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Ian T. Foster:
Services for Science. ICSOC 2008: 3
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Wei Tan, Paolo Missier, Ravi K. Madduri, Ian T. Foster:
Building Scientific Workflow with Taverna and BPEL: A Comparative Study in caGrid. ICSOC Workshops 2008: 118-129
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Wei Tan, Ravi K. Madduri, Kiran Keshav, Baris E. Suzek, Scott Oster, Ian T. Foster:
Orchestrating caGrid Services in Taverna. ICWS 2008: 14-20
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Ioan Raicu, Ian T. Foster, Yong Zhao:
Many-task computing for grids and supercomputers. MTAGS@SC 2008: 1-11
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Zhao Zhang, Allan Espinosa, Kamil Iskra, Ioan Raicu, Ian T. Foster, Michael Wilde:
Design and evaluation of a collective IO model for loosely coupled petascale programming. MTAGS@SC 2008: 1-10
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Ioan Raicu, Zhao Zhang, Michael Wilde, Ian T. Foster, Peter H. Beckman, Kamil Iskra, Ben Clifford:
Toward loosely coupled programming on petascale syst