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2020 – today
- 2024
[j37]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)- [j36]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) - [j35]Poornima Nookala, Kyle Chard, Ioan Raicu:
X-OpenMP - eXtreme fine-grained tasking using lock-less work stealing. Future Gener. Comput. Syst. 159: 444-458 (2024) - [j34]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) - [j33]Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Boris Glavic, Ioan Raicu:
SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems. J. Parallel Distributed Comput. 189: 104878 (2024) - [c144]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 - [c143]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 - [c142]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 - [c141]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 - [c140]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 - [c139]Thanh Son Phung, Colin Thomas, Logan T. Ward, Kyle Chard, Douglas Thain:
Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems. HPDC 2024: 122-134 - [c138]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 - [c137]Jamison Kerney, Ioan Raicu, John Raicu, Kyle Chard:
Towards Fine-Grained Parallelism in Parallel and Distributed Python Libraries. IPDPS (Workshops) 2024: 706-715 - [c136]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 - [c135]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 - [c134]Joe Bottigliero, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster:
Zero Code and Infrastructure Research Data Portals. PEARC 2024: 36:1-36:4 - [c133]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 - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]Matteo Turilli, Mihael Hategan-Marandiuc, Mikhail Titov, Ketan Maheshwari, Aymen Alsaadi, André Merzky, Ramon Arambula, Mikhail Zakharchanka, Matt Cowan, Justin M. Wozniak, Andreas Wilke, Ozgur Ozan Kilic, Kyle Chard, Rafael Ferreira da Silva, Shantenu Jha, Daniel E. Laney:
ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies. CoRR abs/2407.16646 (2024) - [i56]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) - [i55]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) - 2023
- [j32]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) - [j31]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) - [j30]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) - [j29]Tim Shaffer, Thanh Son Phung, Kyle Chard, Douglas Thain:
Landlord: Coordinating Dynamic Software Environments to Reduce Container Sprawl. IEEE Trans. Parallel Distributed Syst. 34(5): 1376-1389 (2023) - [c132]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 - [c131]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 - [c130]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 - [c129]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 - [c128]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 - [c127]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 - [c126]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 - [c125]Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Can Automated Metadata Extraction Make Scientific Data More Navigable? e-Science 2023: 1-10 - [c124]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 - [c123]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 - [c122]Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster:
MatPropXtractor: Generate to Extract. Tiny Papers @ ICLR 2023 - [c121]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 - [c120]Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik:
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. IPDPS Workshops 2023: 868-877 - [c119]Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
Balancing Federated Learning Trade-Offs for Heterogeneous Environments. PerCom Workshops 2023: 404-407 - [c118]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 - [c117]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 - [c116]Thanh Son Phung, Ben Clifford, Kyle Chard, Douglas Thain:
Maximizing Data Utility for HPC Python Workflow Execution. SC Workshops 2023: 636-640 - [c115]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 - [c114]Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman:
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices. WF-IoT 2023: 1-6 - [c113]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 - [c112]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 - [c111]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 - [e8]Ali Raza Butt, Ningfang Mi, Kyle Chard:
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2023, Orlando, FL, USA, June 16-23, 2023. ACM 2023 [contents] - [e7]Robert Schuler, Carl Kesselman, Kyle Chard, Alejandro Bugacov:
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, SSDBM 2023, Los Angeles, CA, USA, July 10-12, 2023. ACM 2023 [contents] - [d1]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
- [i54]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) - [i53]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) - [i52]Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - [i51]Nicholson T. Collier, Justin M. Wozniak, Abby Stevens, Yadu N. Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, Jonathan Ozik:
Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. CoRR abs/2304.14244 (2023) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]Daniel S. Katz, Ben Clifford, Yadu N. Babuji, Kevin Hunter Kesling, Anna Woodard, Kyle Chard:
The Changing Role of RSEs over the Lifetime of Parsl. CoRR abs/2307.11060 (2023) - [i44]Maksim Levental, Alok Kamatar, Ryan Chard, Nicolas Vasilache, Kyle Chard, Ian T. Foster:
nelli: a lightweight frontend for MLIR. CoRR abs/2307.16080 (2023) - [i43]Abby Stevens, Jonathan Ozik, Kyle Chard, Jaline Gerardin, Justin M. Wozniak:
NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling. CoRR abs/2308.04602 (2023) - [i42]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) - [i41]Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman:
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices. CoRR abs/2308.14658 (2023) - [i40]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) - [i39]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) - 2022
- [j28]Osama Almurshed, Omer F. Rana, Kyle Chard:
Greedy Nominator Heuristic: Virtual function placement on fog resources. Concurr. Comput. Pract. Exp. 34(6) (2022) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c110]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 - [c109]Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Ioan Raicu:
SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System. CCGRID 2022: 51-60 - [c108]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 - [c107]Matt Baughman, Ian T. Foster, Kyle Chard:
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures. e-Science 2022: 433-434 - [c106]Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Automated metadata extraction: challenges and opportunities. e-Science 2022: 495-500 - [c105]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC 2022: 290-291 - [c104]Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. ICCS (1) 2022: 403-416 - [c103]Tyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster:
Models and Metrics for Mining Meaningful Metadata. ICCS (1) 2022: 417-430 - [c102]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 - [c101]Will Brackenbury, Kyle Chard, Aaron J. Elmore, Blase Ur:
Summarizing Sets of Related ML-Driven Recommendations for Improving File Management in Cloud Storage. UIST 2022: 95:1-95:11 - [c100]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 - [e6]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] - [i38]Rafael Ferreira da Silva, Kyle Chard, Henri Casanova, Dan Laney, Dong H. Ahn, Shantenu Jha, William E. Allcock, Gregory Bauer, Dmitry Duplyakin, Bjoern Enders, Todd M. Heer, Eric Lancon, Sergiu Sanielevici, Kevin Sayers:
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows. CoRR abs/2201.07435 (2022) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]