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ORCIDMichael E. Papka
Person information
- affiliation: University of Illinois Chicago, Department of Computer Science, Chicago, IL, USA
- affiliation: Argonne National Laboratory, Argonne, IL, USA
- affiliation (former): Northern Illinois University, Department of Computer Science, DeKalb, IL, USA
- affiliation (former, PhD 2009): University of Chicago, Chicago, IL, USA
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2020 – today
- 2025
[j51]Ratanond Koonchanok
, Michael E. Papka, Khairi Reda:
Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations. IEEE Trans. Vis. Comput. Graph. 31(1): 754-764 (2025)- [c145]Luc Renambot, Jonas Talandis, Fabio Miranda, Lance Long, Daniel J. Sandin, G. Elisabeta Marai, Michael E. Papka, Nikita Soni, Andrew E. Johnson, Thomas A. DeFanti, Daria Tsoupikova, Dana Plepys, Maxine D. Brown, Jason Leigh:
Immersive Analytics at the Electronic Visualization Laboratory. VR Workshops 2025: 206-210 - [i27]Zhong Zheng, Michael E. Papka, Zhiling Lan:
More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing. CoRR abs/2501.12464 (2025) - [i26]Mathis Bode, Damian Alvarez, Paul F. Fischer, Christos E. Frouzakis, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Victor A. Mateevitsi, Misun Min, Michael E. Papka, Silvio Rizzi, Roshan J. Samuel, Jörg Schumacher:
Deciphering boundary layer dynamics in high-Rayleigh-number convection using 3360 GPUs and a high-scaling in-situ workflow. CoRR abs/2501.13240 (2025) - [i25]Shilpika, Bethany Lusch, Venkatram Vishwanath, Michael E. Papka:
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems. CoRR abs/2501.17796 (2025) - [i24]Zhong Zheng, Seyfal Sultanov, Michael E. Papka, Zhiling Lan:
Exploring Uncore Frequency Scaling for Heterogeneous Computing. CoRR abs/2502.03796 (2025) - 2024
- [j50]Thomas Marrinan, Victor A. Mateevitsi, Madeleine Moeller, Alina Kanayinkal, Michael E. Papka:
2023 IEEE Scientific Visualization Contest Winner: VisAnywhere: Developing Multiplatform Scientific Visualization Applications. IEEE Computer Graphics and Applications 44(5): 93-103 (2024) - [j49]Andrew E. Johnson, Luc Renambot, G. Elisabeta Marai, Daria Tsoupikova, Michael E. Papka, Lance Long, Dana Plepys, Jonas Talandis, Maxine D. Brown, Jason Leigh, Daniel J. Sandin, Thomas A. DeFanti:
Electronic Visualization Laboratory's 50th Anniversary Retrospective: Look to the Future, Build on the Past. Presence Teleoperators Virtual Environ. 33: 77-127 (2024) - [c144]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. CCGrid 2024: 478-488 - [c143]Amey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang, Khairi Reda:
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps. CHI 2024: 145:1-145:17 - [c142]Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka, Sanjif Shanmugavelu, Darshan Gandhi, Hengyu Zhao, Dun Ma, Kiran Ranganath, Rick Weisner, Jiunn-Yeu Chen, Yuting Yang, Natalia Vassilieva, Bin C. Zhang, Sylvia Howland, Alexander Tsyplikhin:
Toward a Holistic Performance Evaluation of Large Language Models Across Diverse AI Accelerators. IPDPS (Workshops) 2024: 1-10 - [c141]Victor A. Mateevitsi, Andres Sewell, Mathis Bode, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Ioannis Kavroulakis, Damaskinos Konioris, Yu-Hsiang Lan, Misun Min, Dimitrios Papageorgiou, Michael E. Papka, Steve Petruzza, Silvio Rizzi, Ananias Tomboulides:
Visuals on the House: Optimizing HPC Workflows with No-Cost CPU Visualization. LDAV 2024: 69-70 - [c140]Colleen Heinemann, Jefferson Amstutz, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Graphical Representation Through a User Interface for In Situ Scientific Visualization with Ascent. LDAV 2024: 71-72 - [c139]Andres Sewell, Landon Dyken, Victor A. Mateevitsi, Will Usher, Jefferson Amstutz, Thomas Marrinan, Khairi Reda, Silvio Rizzi, Joseph A. Insley, Michael E. Papka, Sidharth Kumar, Steve Petruzza:
High-quality Approximation of Scientific Data using 3D Gaussian Splatting. LDAV 2024: 73-74 - [c138]Idunnuoluwa A. Adeniji, Joseph A. Insley, David A. Joiner, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Exploring Large-Scale Scientific Data in Virtual Reality. LDAV 2024: 75-76 - [c137]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 - [c136]Andres Sewell, Dimitrios K. Fytanidis, Victor A. Mateevitsi, Cyrus Harrison, Nicole Marsaglia, Thomas Marrinan, Silvio Rizzi, Joseph A. Insley, Michael E. Papka, Steve Petruzza:
Bridging Gaps in Simulation Analysis through a General Purpose, Bidirectional Steering Interface with Ascent. SC Workshops 2024: 841-846 - [c135]Shilpika, Bethany Lusch, Venkatram Vishwanath, Michael E. Papka:
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems. SC Workshops 2024: 1576-1587 - [c134]Thomas Marrinan, Ethan Honzik, Hal L. N. Brynteson, Michael E. Papka:
Image Synthesis from a Collection of Depth Enhanced Panoramas: Creating Interactive Extended Reality Experiences from Static Images. IMX 2024: 64-74 - [c133]Victor A. Mateevitsi, Michael E. Papka, Khairi Reda:
Science in a Blink: Supporting Ensemble Perception in Scalar Fields. IEEE VIS 2024: 216-220 - [c132]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 - [i23]Amey A. Salvi, Kecheng Lu, Michael E. Papka, Yunhai Wang, Khairi Reda:
Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps. CoRR abs/2401.15032 (2024) - [i22]Boyang Li, Zhiling Lan, Michael E. Papka:
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. CoRR abs/2403.16293 (2024) - [i21]Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Richy, William Allcocky, Michael E. Papka:
MRSch: Multi-Resource Scheduling for HPC. CoRR abs/2403.16298 (2024) - [i20]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) - [i19]Thomas Marrinan, Madeleine Moeller, Alina Kanayinkal, Victor A. Mateevitsi, Michael E. Papka:
VisAnywhere: Developing Multi-platform Scientific Visualization Applications. CoRR abs/2404.17619 (2024) - [i18]Victor A. Mateevitsi, Michael E. Papka, Khairi Reda:
Science in a Blink: Supporting Ensemble Perception in Scalar Fields. CoRR abs/2406.14452 (2024) - [i17]Ratanond Koonchanok, Michael E. Papka, Khairi Reda:
Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations. CoRR abs/2407.16871 (2024) - 2023
- [j48]Bharat Kale, Austin Clyde, Maoyuan Sun, Arvind Ramanathan, Rick Stevens, Michael E. Papka:
ChemoGraph: Interactive Visual Exploration of the Chemical Space. Comput. Graph. Forum 42(3): 13-24 (2023) - [j47]Bharat Kale, Maoyuan Sun, Michael E. Papka:
The State of the Art in Visualizing Dynamic Multivariate Networks. Comput. Graph. Forum 42(3): 471-490 (2023) - [j46]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) - [c131]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 - [c130]Boyang Li, Zhiling Lan, Michael E. Papka:
Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling. MASCOTS 2023: 1-8 - [c129]Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen:
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. SC Workshops 2023: 862-867 - [c128]Diego A. Roa Perdomo, Paige C. Kinsley, José Monsalve Diaz, Michael E. Papka, Xiaoming Li:
DEMAC: A Platform for Education in High-performance Computing, Bridging the Gap Between Users and Hardware. WCAE 2023 - [c127]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 - [d1]Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen:
Software and Analysis for paper: Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. Zenodo, 2023
- [i16]Qi Wu, Joseph A. Insley, Victor A. Mateevitsi, Silvio Rizzi, Michael E. Papka, Kwan-Liu Ma:
Distributed Neural Representation for Reactive in situ Visualization. CoRR abs/2304.10516 (2023) - [i15]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Multi-Level, Multi-Scale Visual Analytics Approach to Assessment of Multifidelity HPC Systems. CoRR abs/2306.09457 (2023) - [i14]Murali Emani, Sam Foreman, Varuni Sastry, Zhen Xie, Siddhisanket Raskar, William Arnold, Rajeev Thakur, Venkatram Vishwanath, Michael E. Papka:
A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators. CoRR abs/2310.04607 (2023) - [i13]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) - [i12]Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen:
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. CoRR abs/2312.09888 (2023) - 2022
- [j45]Travis Mackoy, Bharat Kale, Michael E. Papka, Ralph A. Wheeler:
Corrigendum to "viewSq, a Visual Molecular Dynamics (VMD) module for calculating, analyzing, and visualizing X-ray and neutron structure factors from atomistic simulations" [Comput. Phys. Commun. 264 (2021) 107881]. Comput. Phys. Commun. 276: 108358 (2022) - [j44]Charlie Catlett, Pete Beckman, Nicola J. Ferrier, Michael E. Papka, Rajesh Sankaran, Jeff Solin, Valerie Taylor, Douglas Pancoast, Daniel A. Reed:
Hands-On Computer Science: The Array of Things Experimental Urban Instrument. Comput. Sci. Eng. 24(1): 57-63 (2022) - [j43]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) - [j42]Yuping Fan, Boyang Li, Dustin Favorite, Naunidh Singh, John Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan:
DRAS: Deep Reinforcement Learning for Cluster Scheduling in High Performance Computing. IEEE Trans. Parallel Distributed Syst. 33(12): 4903-4917 (2022) - [c126]Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. CCGRID 2022: 716-725 - [c125]Boyang Li, Yuping Fan, Matthew T. Dearing, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka:
MRSch: Multi-Resource Scheduling for HPC. CLUSTER 2022: 47-57 - [c124]Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka:
Hybrid Workload Scheduling on HPC Systems. IPDPS 2022: 470-480 - [c123]Thomas Marrinan, Jifu Tan, Joseph A. Insley, Alina Kanayinkal, Michael E. Papka:
Interactive Virtual Reality Exploration of Large-Scale Datasets Using Omnidirectional Stereo Images. ISVC (1) 2022: 115-128 - [c122]Boyang Li, Yuping Fan, Michael E. Papka, Zhiling Lan:
Encoding for Reinforcement Learning Driven Scheduling. JSSPP 2022: 68-87 - [c121]Jason A. Ortiz, Joseph A. Insley, Janet Knowles, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Massive Data Visualization Techniques for use in Virtual Reality Devices. LDAV 2022: 1-2 - [c120]Nazariy Tishchenko, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Jifu Tan:
Toward Bi-directional In Situ Visualization and Analysis of Blood Flow Simulations With Dynamic Deforming Walls. LDAV 2022: 1-2 - [c119]Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrián Macías, Chetan Tekur, Matthew Boyd:
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC 2022: 13-25 - [c118]Isaac Nealey, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Cinema Transfer: A Containerized Visualization Workflow. ISC Workshops 2022: 324-343 - [i11]Pratool Bharti, Priyanjani Chandra, Michael E. Papka, David Koop:
An Edge Map based Ensemble Solution to Detect Water Level in Stream. CoRR abs/2201.06098 (2022) - [i10]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) - 2021
- [j41]Khairi Reda, Amey A. Salvi, Jack Gray, Michael E. Papka:
Color Nameability Predicts Inference Accuracy in Spatial Visualizations. Comput. Graph. Forum 40(3): 49-60 (2021) - [j40]Travis Mackoy, Bharat Kale, Michael E. Papka, Ralph A. Wheeler:
viewSq, a Visual Molecular Dynamics (VMD) module for calculating, analyzing, and visualizing X-ray and neutron structure factors from atomistic simulations. Comput. Phys. Commun. 264: 107881 (2021) - [j39]Murali Emani, Venkatram Vishwanath, Corey Adams, Michael E. Papka, Rick Stevens, Laura Florescu, Sumti Jairath, William Liu, Tejas Nama, Arvind Sujeeth, Volodymyr V. Kindratenko, Anne C. Elster:
Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. Comput. Sci. Eng. 23(2): 114-119 (2021) - [j38]Thomas Marrinan, Michael E. Papka:
Real-Time Omnidirectional Stereo Rendering: Generating 360° Surround-View Panoramic Images for Comfortable Immersive Viewing. IEEE Trans. Vis. Comput. Graph. 27(5): 2587-2596 (2021) - [c117]Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka:
Deep Reinforcement Agent for Scheduling in HPC. IPDPS 2021: 807-816 - [c116]Bharat Kale, Maoyuan Sun, Michael E. Papka:
Direct Ordering: A Direct Manipulation Based Ordering Technique. IUI Workshops 2021 - [c115]Riley Lipinski, Kenneth Moreland, Michael E. Papka, Thomas Marrinan:
GPU-based Image Compression for Efficient Compositing in Distributed Rendering Applications. LDAV 2021: 43-52 - [c114]Anthony Bucaro, Connor Murphy, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi, Jifu Tan:
Instrumenting Multiphysics Blood Flow Simulation Codes for In Situ Visualization and Analysis. LDAV 2021: 88-89 - [c113]Pambayun Savira, Thomas Marrinan, Michael E. Papka:
Writing, Running, and Analyzing Large-scale Scientific Simulations with Jupyter Notebooks. LDAV 2021: 90-91 - [i9]Yuping Fan, Zhiling Lan, J. Taylor Childers, Paul Rich, William E. Allcock, Michael E. Papka:
Deep Reinforcement Agent for Scheduling in HPC. CoRR abs/2102.06243 (2021) - [i8]Michael Salim, Thomas D. Uram, J. Taylor Childers, Venkat Vishwanath, Michael E. Papka:
Toward Real-time Analysis of Experimental Science Workloads on Geographically Distributed Supercomputers. CoRR abs/2105.06571 (2021) - [i7]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) - [i6]Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan:
Hybrid Workload Scheduling on HPC Systems. CoRR abs/2109.05412 (2021) - 2020
- [j37]Nils Heinonen, James J. Hack, Michael E. Papka:
Predicting the Risk of Cancer With Computational Electrodynamics. Comput. Sci. Eng. 22(1): 117-120 (2020) - [j36]James J. Hack, Michael E. Papka:
The U.S. High-Performance Computing Consortium in the Fight Against COVID-19. Comput. Sci. Eng. 22(6): 75-80 (2020) - [j35]Charlie Catlett, Peter H. Beckman, Nicola J. Ferrier, Howard C. Nusbaum, Michael E. Papka, Marc G. Berman, Rajesh Sankaran:
Measuring Cities with Software-Defined Sensors. J. Soc. Comput. 1(1): 14-27 (2020) - [c112]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 - [i5]Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul:
Scheduling Beyond CPUs for HPC. CoRR abs/2012.05439 (2020)
2010 – 2019
- 2019
- [j34]Nils Heinonen, James J. Hack, Michael E. Papka:
Software Stack in a Snapshot. Comput. Sci. Eng. 21(3): 114-116 (2019) - [j33]Katie Elyce Jones, James J. Hack, Michael E. Papka:
Supercomputing Improves Predictions of Fluid Flow in Rock. Comput. Sci. Eng. 21(6): 74-76 (2019) - [j32]Thomas Marrinan, Greg Eisenhauer, Matthew Wolf, Joseph A. Insley, Silvio Rizzi, Michael E. Papka:
Parallel streaming between heterogeneous HPC resources for real-time analysis. J. Comput. Sci. 31: 163-171 (2019) - [c111]Sergei Shudler, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Saumil Patel, Silvio Rizzi:
Fast Mesh Validation in Combustion Simulations through In-Situ Visualization. EGPGV@EuroVis 2019: 7-16 - [c110]Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul:
Scheduling Beyond CPUs for HPC. HPDC 2019: 97-108 - [c109]Thomas Marrinan, Silvio Rizzi, Joseph A. Insley, Lance Long, Luc Renambot, Michael E. Papka:
PxStream: Remote Visualization for Distributed Rendering Frameworks. LDAV 2019: 37-41 - [c108]Shilpika, Bethany Lusch, Murali Emani, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
MELA: A Visual Analytics Tool for Studying Multifidelity HPC System Logs. DAAC@SC 2019: 13-18 - [c107]Michael A. Salim, Thomas D. Uram, J. Taylor Childers, Venkatram Vishwanath, Michael E. Papka:
Balsam: Near Real-Time Experimental Data Analysis on Supercomputers. XLOOP@SC 2019: 26-31 - [c106]Sergei Shudler, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Silvio Rizzi:
Spack meets singularity: creating movable in-situ analysis stacks with ease. ISAV@SC 2019: 34-38 - [c105]Allen R. Sanderson, John A. Schmidt, Alan Humphrey, Michael E. Papka, Robert Sisneros:
In Situ Visualization of Performance Metrics in Multiple Domains. ProTools@SC 2019: 62-69 - [c104]Khairi Reda, Michael E. Papka:
Evaluating Gradient Perception in Color-Coded Scalar Fields. IEEE VIS (Short Papers) 2019: 271-275 - [c103]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 - [i4]Michael A. Salim, Thomas D. Uram, J. Taylor Childers, Prasanna Balaprakash, Venkatram Vishwanath, Michael E. Papka:
Balsam: Automated Scheduling and Execution of Dynamic, Data-Intensive HPC Workflows. CoRR abs/1909.08704 (2019) - 2018
- [j31]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) - [j30]Li Yu, Zhou Zhou, Yuping Fan, Michael E. Papka, Zhiling Lan:
System-wide trade-off modeling of performance, power, and resilience on petascale systems. J. Supercomput. 74(7): 3168-3192 (2018) - [c102]William E. Allcock, Bennett Bernardoni, Colleen Bertoni, Neil Getty, Joseph A. Insley, Michael E. Papka, Silvio Rizzi, Brian R. Toonen:
RAM as a Network Managed Resource. IPDPS Workshops 2018: 99-106 - [c101]Thomas Marrinan, Silvio Rizzi, Joseph A. Insley, Brian R. Toonen, William E. Allcock, Michael E. Papka:
Transferring Data from High-Performance Simulations to Extreme Scale Analysis Applications in Real-Time. IPDPS Workshops 2018: 1214-1220 - [c100]Joseph Adamo, J. D. Emberson, Edouard B. Brooks, Silvio Rizzi, Joseph A. Insley, Michael E. Papka:
Exploring Visualization Techniques with HACC Simulation Data. LDAV 2018: 92-93 - [c99]Bennett Bernardoni, Nicola J. Ferrier, Joseph A. Insley, Michael E. Papka, Saumil Patel, Silvio Rizzi:
In Situ Visualization and Analysis to Design Large Scale Experiments in Computational Fluid Dynamics. LDAV 2018: 94-95 - [c98]Preeti Malakar, Todd S. Munson, Christopher Knight, Venkatram Vishwanath, Michael E. Papka:
Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations. SC 2018: 24:1-24:15 - [c97]Will Usher, Silvio Rizzi, Ingo Wald, Jefferson Amstutz, Joseph A. Insley, Venkatram Vishwanath, Nicola J. Ferrier, Michael E. Papka, Valerio Pascucci:
libIS: a lightweight library for flexible in transit visualization. ISAV@SC 2018: 33-38 - 2017
- [j29]John T. Childers, Thomas D. Uram, Thomas J. LeCompte, Michael E. Papka, D. P. Benjamin:
Adapting the serial Alpgen parton-interaction generator to simulate LHC collisions on millions of parallel threads. Comput. Phys. Commun. 210: 54-59 (2017) - [c96]Yuping Fan, Paul Rich, William E. Allcock, Michael E. Papka, Zhiling Lan:
Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates. CLUSTER 2017: 530-540 - [c95]Takanori Fujiwara, Preeti Malakar, Khairi Reda, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
A Visual Analytics System for Optimizing Communications in Massively Parallel Applications. VAST 2017: 59-70 - [c94]Sarah Read, Michael E. Papka:
Operational metrics reporting processes at scientific user facilities: Comparing a high-energy x-ray synchrotron facility to a supercomputing facility. ProComm 2017: 1-6 - [c93]Thomas Marrinan, Joseph A. Insley, Silvio Rizzi, Francois Tessier, Michael E. Papka:
Automated Dynamic Data Redistribution. IPDPS Workshops 2017: 1208-1215 - [c92]Christian Bailey, Bharat Kale, Jamieson Walker, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka:
Exploring Features for Predicting Policy Citations. JCDL 2017: 297-298 - [c91]Edouard B. Brooks, Joseph A. Insley, Michael E. Papka, Silvio Rizzi:
Virtual reality tools for the correction of automated volume segmentation errors using dense surface reconstructions. LDAV 2017: 92-93 - [c90]Preeti Malakar, Christopher Knight, Todd S. Munson, Venkatram Vishwanath, Michael E. Papka:
Scalable In situ Analysis of Molecular Dynamics Simulations. ISAV@SC 2017: 1-6 - [c89]Michael J. Lewis, George K. Thiruvathukal, Venkatram Vishwanath, Michael E. Papka, Andrew E. Johnson:
A distributed graph approach for pre-processing linked RDF data using supercomputers. SBD@SIGMOD 2017: 6:1-6:6 - [c88]Bharat Kale, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka:
Predicting Research that will be Cited in Policy Documents. WebSci 2017: 389-390 - [i3]Bharat Kale, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka:
Predicting Research that will be Cited in Policy Documents. CoRR abs/1706.04140 (2017) - [i2]Christian Bailey, Bharat Kale, Jamieson Walker, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka:
Exploring Features for Predicting Policy Citations. CoRR abs/1708.01658 (2017) - 2016
- [j28]Thomas D. Uram, Michael E. Papka:
Expanding the Scope of High-Performance Computing Facilities. Comput. Sci. Eng. 18(3): 84-87 (2016) - [j27]Khairi Reda, Andrew E. Johnson, Michael E. Papka, Jason Leigh:
Modeling and evaluating user behavior in exploratory visual analysis. Inf. Vis. 15(4): 325-339 (2016) - [j26]Huy Bui, Eun-Sung Jung, Venkatram Vishwanath, Andrew E. Johnson, Jason Leigh, Michael E. Papka:
Improving sparse data movement performance using multiple paths on the Blue Gene/Q supercomputer. Parallel Comput. 51: 3-16 (2016) - [j25]Paris Perdikaris, Joseph A. Insley, Leopold Grinberg, Yue Yu, Michael E. Papka, George E. Karniadakis:
Visualizing multiphysics, fluid-structure interaction phenomena in intracranial aneurysms. Parallel Comput. 55: 9-16 (2016) - [j24]Sean Wallace, Zhou Zhou, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka:
Application power profiling on IBM Blue Gene/Q. Parallel Comput. 57: 73-86 (2016) - [j23]Will Usher, Ingo Wald, Aaron Knoll, Michael E. Papka, Valerio Pascucci:
In Situ Exploration of Particle Simulations with CPU Ray Tracing. Supercomput. Front. Innov. 3(4): 4-18 (2016) - [j22]Attila Gyulassy, Aaron Knoll, Kah Chun Lau, Bei Wang, Peer-Timo Bremer, Michael E. Papka, Larry A. Curtiss, Valerio Pascucci:
Interstitial and Interlayer Ion Diffusion Geometry Extraction in Graphitic Nanosphere Battery Materials. IEEE Trans. Vis. Comput. Graph. 22(1): 916-925 (2016) - [c87]Si Liu, Eun-Sung Jung, Rajkumar Kettimuthu, Xian-He Sun, Michael E. Papka:
Towards optimizing large-scale data transfers with end-to-end integrity verification. IEEE BigData 2016: 3002-3007 - [c86]Pete Beckman, Rajesh Sankaran, Charlie Catlett, Nicola J. Ferrier, Robert L. Jacob, Michael E. Papka:
Waggle: An open sensor platform for edge computing. IEEE SENSORS 2016: 1-3 - [c85]Sarah Read, Michael E. Papka:
Improving models of document cycling: Accounting for the less visible writing activities of an annual reporting process at a supercomputing facility. IPCC 2016: 1-10 - [c84]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Preeti Malakar, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath:
Coupling LAMMPS and the vl3 Framework for Co-Visualization of Atomistic Simulations. IPDPS Workshops 2016: 1038-1042 - [c83]Michael E. Papka:
LSPP 2016 Keynote. IPDPS Workshops 2016: 1340 - [c82]Min Shih, Silvio Rizzi, Joseph A. Insley, Thomas D. Uram, Venkatram Vishwanath, Mark Hereld, Michael E. Papka, Kwan-Liu Ma:
Parallel distributed, GPU-accelerated, advanced lighting calculations for large-scale volume visualization. LDAV 2016: 47-55 - [c81]Dawid Zawislak, Brian R. Toonen, William E. Allcock, Silvio Rizzi, Joseph A. Insley, Venkatram Vishwanath, Michael E. Papka:
Early Investigations into Using a Remote RAM Pool with the vl3 Visualization Framework. ISAV@SC 2016: 23-28 - [c80]Sean Wallace, Xu Yang, Venkatram Vishwanath, William E. Allcock, Susan Coghlan, Michael E. Papka, Zhiling Lan:
A data driven scheduling approach for power management on HPC systems. SC 2016: 656-666 - [c79]Preeti Malakar, Venkatram Vishwanath, Christopher Knight, Todd S. Munson, Michael E. Papka:
Optimal execution of co-analysis for large-scale molecular dynamics simulations. SC 2016: 702-715 - [c78]Thomas Marrinan, Arthur Nishimoto, Joseph A. Insley, Silvio Rizzi, Andrew E. Johnson, Michael E. Papka:
Interactive Multi-Modal Display Spaces for Visual Analysis. ISS 2016: 421-426 - 2015
- [j21]James J. Hack, Michael E. Papka:
Big Data: Next-Generation Machines for Big Science. Comput. Sci. Eng. 17(4): 63-65 (2015) - [j20]Li Yu, Zhou Zhou, Sean Wallace, Michael E. Papka, Zhiling Lan:
Quantitative modeling of power performance tradeoffs on extreme scale systems. J. Parallel Distributed Comput. 84: 1-14 (2015) - [c77]Khairi Reda, Andrew E. Johnson, Michael E. Papka, Jason Leigh:
Effects of Display Size and Resolution on User Behavior and Insight Acquisition in Visual Exploration. CHI 2015: 2759-2768 - [c76]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka:
Comparison of Vendor Supplied Environmental Data Collection Mechanisms. CLUSTER 2015: 690-697 - [c75]Huy Bui, Robert L. Jacob, Preeti Malakar, Venkatram Vishwanath, Andrew E. Johnson, Michael E. Papka, Jason Leigh:
Multipath Load Balancing for M × N Communication Patterns on the Blue Gene/Q Supercomputer Interconnection Network. CLUSTER 2015: 833-840 - [c74]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath:
Large-Scale Parallel Visualization of Particle-Based Simulations using Point Sprites and Level-Of-Detail. EGPGV@EuroVis 2015: 1-10 - [c73]Huy Bui, Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Eun-Sung Jung, Andrew E. Johnson, Michael E. Papka, Jason Leigh:
Improving Communication Throughput by Multipath Load Balancing on Blue Gene/Q. HiPC 2015: 115-124 - [c72]Khairi Reda, Alberto Gonzalez, Jason Leigh, Michael E. Papka:
Tell me what do you see: Detecting perceptually-separable visual patterns via clustering of image-space features in visualizations. VAST 2015: 211-212 - [c71]Jie Jiang, Mark Hereld, Joseph A. Insley, Michael E. Papka, Silvio Rizzi, Thomas D. Uram, Venkatram Vishwanath:
Streaming ultra high resolution images to large tiled display at nearly interactive frame rate with vl3. LDAV 2015: 133-134 - [c70]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath:
Large-scale co-visualization for LAMMPS using vl3. LDAV 2015: 141-142 - [c69]Preeti Malakar, Venkatram Vishwanath, Todd S. Munson, Christopher Knight, Mark Hereld, Sven Leyffer, Michael E. Papka:
Optimal scheduling of in-situ analysis for large-scale scientific simulations. SC 2015: 52:1-52:11 - [c68]Ingo Wald, Aaron Knoll, Gregory P. Johnson, Will Usher, Valerio Pascucci, Michael E. Papka:
CPU ray tracing large particle data with balanced P-k-d trees. SciVis 2015: 57-64 - [i1]John T. Childers, Thomas D. Uram, Thomas J. LeCompte, Michael E. Papka, D. P. Benjamin:
Adapting the serial Alpgen event generator to simulate LHC collisions on millions of parallel threads. CoRR abs/1511.07312 (2015) - 2014
- [j19]Aaron Knoll, Ingo Wald, Paul A. Navrátil, Anne Bowen, Khairi Reda, Michael E. Papka, Kelly P. Gaither:
RBF Volume Ray Casting on Multicore and Manycore CPUs. Comput. Graph. Forum 33(3): 71-80 (2014) - [j18]Sriram Lakshminarasimhan, Xiaocheng Zou, David A. Boyuka II, Saurabh V. Pendse, John Jenkins, Venkatram Vishwanath, Michael E. Papka, Scott Klasky, Nagiza F. Samatova:
DIRAQ: scalable in situ data- and resource-aware indexing for optimized query performance. Clust. Comput. 17(4): 1101-1119 (2014) - [j17]James J. Hack, Michael E. Papka:
Advances in Leadership Computing [Guest editors' introduction]. Comput. Sci. Eng. 16(5): 10-12 (2014) - [j16]James J. Hack, Michael E. Papka:
New Frontiers in Leadership Computing [Guest Editorial]. Comput. Sci. Eng. 16(6): 10-12 (2014) - [c67]Khairi Reda, Andrew E. Johnson, Jason Leigh, Michael E. Papka:
Evaluating user behavior and strategy during visual exploration. BELIV 2014: 41-45 - [c66]Eduardo Berrocal, Li Yu, Sean Wallace, Michael E. Papka, Zhiling Lan:
Exploring void search for fault detection on extreme scale systems. CLUSTER 2014: 1-9 - [c65]Silvio Rizzi, Mark Hereld, Joseph A. Insley, Michael E. Papka, Thomas D. Uram, Venkatram Vishwanath:
Performance Modeling of vl3 Volume Rendering on GPU-Based Clusters. EGPGV@EuroVis 2014: 65-72 - [c64]Huy Bui, Jason Leigh, Eun-Sung Jung, Venkatram Vishwanath, Michael E. Papka:
Improving Data Movement Performance for Sparse Data Patterns on the Blue Gene/Q Supercomputer. ICPP Workshops 2014: 302-311 - [c63]Huy Bui, Hal Finkel, Venkatram Vishwanath, Salman Habib, Katrin Heitmann, Jason Leigh, Michael E. Papka, Kevin Harms:
Scalable Parallel I/O on a Blue Gene/Q Supercomputer Using Compression, Topology-Aware Data Aggregation, and Subfiling. PDP 2014: 107-111 - [c62]Sarah Read, Michael E. Papka:
Genre Cycling: The Infrastructural Function of an Operational Assessment Review and Reporting Process at a Federal Scientific Supercomputing User Facility. SIGDOC 2014: 10:1-10:8 - [c61]Phil Lindner, Adolfo Rodriguez, Thomas D. Uram, Michael E. Papka:
Augmenting views on large format displays with tablets. SUI 2014: 161 - 2013
- [j15]Khairi Reda, Alessandro Febretti, Aaron Knoll, Jillian Aurisano, Jason Leigh, Andrew E. Johnson, Michael E. Papka, Mark Hereld:
Visualizing Large, Heterogeneous Data in Hybrid-Reality Environments. IEEE Computer Graphics and Applications 33(4): 38-48 (2013) - [j14]Nicholas T. Karonis, Kirk L. Duffin, Caesar E. Ordoñez, Béla Erdélyi, Thomas D. Uram, Eric C. Olson, George Coutrakon, Michael E. Papka:
Distributed and hardware accelerated computing for clinical medical imaging using proton computed tomography (pCT). J. Parallel Distributed Comput. 73(12): 1605-1612 (2013) - [c60]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka:
Application power profiling on IBM Blue Gene/Q. CLUSTER 2013: 1-8 - [c59]Eric R. Schendel, Steve Harenberg, Houjun Tang, Venkatram Vishwanath, Michael E. Papka, Nagiza F. Samatova:
A Generic High-Performance Method for Deinterleaving Scientific Data. Euro-Par 2013: 571-582 - [c58]Sriram Lakshminarasimhan, David A. Boyuka II, Saurabh V. Pendse, Xiaocheng Zou, John Jenkins, Venkatram Vishwanath, Michael E. Papka, Nagiza F. Samatova:
Scalable in situ scientific data encoding for analytical query processing. HPDC 2013: 1-12 - [c57]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka:
Measuring Power Consumption on IBM Blue Gene/Q. IPDPS Workshops 2013: 853-859 - [c56]Vitali A. Morozov, Kalyan Kumaran, Venkatram Vishwanath, Jiayuan Meng, Michael E. Papka:
Early Experience on the Blue Gene/Q Supercomputing System. IPDPS 2013: 1229-1240 - [c55]Nick Leaf, Venkatram Vishwanath, Joseph A. Insley, Mark Hereld, Michael E. Papka, Kwan-Liu Ma:
Efficient parallel volume rendering of large-scale adaptive mesh refinement data. LDAV 2013: 35-42 - [c54]Khairi Reda, Aaron Knoll, Ken-ichi Nomura, Michael E. Papka, Andrew E. Johnson, Jason Leigh:
Visualizing large-scale atomistic simulations in ultra-resolution immersive environments. LDAV 2013: 59-65 - [c53]Vitali A. Morozov, Jiayuan Meng, Venkatram Vishwanath, Kalyan Kumaran, Michael E. Papka:
Characterization and Understanding Machine-Specific Interconnects. PaCT 2013: 90-104 - [c52]Aaron Knoll, Ingo Wald, Paul A. Navrátil, Michael E. Papka, Kelly P. Gaither:
Ray tracing and volume rendering large molecular data on multi-core and many-core architectures. UltraVis@SC 2013: 5:1-5:8 - [c51]Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan, Wei Tang, Susan Coghlan, Michael E. Papka:
Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems. SC 2013: 60:1-60:11 - [c50]Sidharth Kumar, Avishek Saha, Venkatram Vishwanath, Philip H. Carns, John A. Schmidt, Giorgio Scorzelli, Hemanth Kolla, Ray W. Grout, Robert Latham, Robert B. Ross, Michael E. Papka, Jacqueline Chen, Valerio Pascucci:
Characterization and modeling of PIDX parallel I/O for performance optimization. SC 2013: 67:1-67:12 - 2012
- [j13]Leopold Grinberg, Joseph A. Insley, Dmitry A. Fedosov, Vitali A. Morozov, Michael E. Papka, George E. Karniadakis:
Tightly Coupled Atomistic-Continuum Simulations of Brain Blood Flow on Petaflop Supercomputers. Comput. Sci. Eng. 14(6): 58-67 (2012) - [c49]Natallia Kotava, Aaron Knoll, Mathias Schott, Christoph Garth, Xavier Tricoche, Christoph Kessler, Elaine Cohen, Charles D. Hansen, Michael E. Papka, Hans Hagen:
Volume rendering with multidimensional peak finding. PacificVis 2012: 161-168 - [c48]Dennis Chau, Bradley McGinnis, Jonas Talandis, Jason Leigh, Tom Peterka, Aaron Knoll, Aslihan Sumer, Michael E. Papka, Julius Jellinek:
A simultaneous 2D/3D autostereo workstation. SD&A 2012: 82882N - [c47]Vitali A. Morozov, Jiayuan Meng, Venkatram Vishwanath, Jeff R. Hammond, Kalyan Kumaran, Michael E. Papka:
ALCF MPI Benchmarks: Understanding Machine-Specific Communication Behavior. ICPP Workshops 2012: 19-28 - [c46]Sidharth Kumar, Venkatram Vishwanath, Philip H. Carns, Joshua A. Levine, Robert Latham, Giorgio Scorzelli, Hemanth Kolla, Ray W. Grout, Robert B. Ross, Michael E. Papka, Jacqueline Chen, Valerio Pascucci:
Efficient data restructuring and aggregation for I/O acceleration in PIDX. SC 2012: 50 - [c45]Kirk L. Duffin, Nicholas T. Karonis, Caesar E. Ordoñez, Michael E. Papka, George Coutrakon, Béla Erdélyi, Eric C. Olson, Thomas D. Uram:
An Analysis of a Distributed GPU Implementation of Proton Computed Tomographic (pCT) Reconstruction. SC Companion 2012: 166-175 - [c44]Huy Bui, Venkatram Vishwanath, Jason Leigh, Michael E. Papka:
Abstract: Evaluating Communication Performance in BlueGene/Q and Cray XE6 Supercomputers. SC Companion 2012: 1514 - [c43]Huy Bui, Venkatram Vishwanath, Jason Leigh, Michael E. Papka:
Poster: Evaluating Communication Performance in BlueGene/Q and Cray XE6 Supercomputers. SC Companion 2012: 1515 - [c42]Aaron Knoll, Joseph A. Insley, Michael E. Papka, Ken-ichi Nomura, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta:
Molecular Dynamics Simulation of Amorphous SiO2 Fracture. SC Companion 2012: 1569-1571 - [c41]Joseph A. Insley, Mark Hereld, Michael E. Papka, Rick Wagner, Robert Harkness, Michael L. Norman, Daniel R. Reynolds:
Direct Numerical Simulations of Cosmological Reionization: Field Comparison: Density. SC Companion 2012: 1572-1573 - [c40]Joseph A. Insley, Mark Hereld, Michael E. Papka, Rick Wagner, Robert Harkness, Michael L. Norman, Daniel R. Reynolds:
Direct Numerical Simulations of Cosmological Reionization: Field Comparison: Ionization Fraction. SC Companion 2012: 1574-1575 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless C. Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen P. Schulze, Daniel Acevedo, Klaus Mueller, Michael E. Papka:
Advances in Visual Computing - 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part I. Lecture Notes in Computer Science 7431, Springer 2012, ISBN 978-3-642-33178-7 [contents] - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless C. Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen P. Schulze, Daniel Acevedo, Klaus Mueller, Michael E. Papka:
Advances in Visual Computing - 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part II. Lecture Notes in Computer Science 7432, Springer 2012, ISBN 978-3-642-33190-9 [contents] - 2011
- [j12]Jack J. Dongarra, Peter H. Beckman, Terry Moore, Patrick Aerts, Giovanni Aloisio, Jean-Claude Andre, David Barkai, Jean-Yves Berthou, Taisuke Boku, Bertrand Braunschweig, Franck Cappello, Barbara M. Chapman, Xuebin Chi, Alok N. Choudhary, Sudip S. Dosanjh, Thom H. Dunning, Sandro Fiore, Al Geist, Bill Gropp, Robert J. Harrison, Mark Hereld, Michael A. Heroux, Adolfy Hoisie, Koh Hotta, Zhong Jin, Yutaka Ishikawa, Fred Johnson, Sanjay Kale, Richard Kenway, David E. Keyes, Bill Kramer, Jesús Labarta, Alain Lichnewsky, Thomas Lippert, Bob Lucas, Barney Maccabe, Satoshi Matsuoka, Paul Messina, Peter Michielse, Bernd Mohr, Matthias S. Müller, Wolfgang E. Nagel, Hiroshi Nakashima, Michael E. Papka, Daniel A. Reed, Mitsuhisa Sato, Edward Seidel, John Shalf, David Skinner, Marc Snir, Thomas L. Sterling, Rick Stevens, Frederick H. Streitz, Bob Sugar, Shinji Sumimoto, William M. Tang, John A. Taylor, Rajeev Thakur, Anne E. Trefethen, Mateo Valero, Aad J. van der Steen, Jeffrey S. Vetter, Peg Williams, Robert W. Wisniewski, Katherine A. Yelick:
The International Exascale Software Project roadmap. Int. J. High Perform. Comput. Appl. 25(1): 3-60 (2011) - [c39]Aaron Knoll, Sebastian Thelen, Ingo Wald, Charles D. Hansen, Hans Hagen, Michael E. Papka:
Full-resolution interactive CPU volume rendering with coherent BVH traversal. PacificVis 2011: 3-10 - [c38]Randy Hudson, John Norris, Lynn B. Reid, Klaus Weide, George Cal Jordan IV, Michael E. Papka:
Experiences using smaash to manage data-intensive simulations. HPDC 2011: 205-216 - [c37]Joseph A. Insley, Leopold Grinberg, Michael E. Papka:
Visualizing multiscale, multiphysics simulation data: Brain blood flow. LDAV 2011: 3-7 - [c36]Venkatram Vishwanath, Mark Hereld, Michael E. Papka:
Toward simulation-time data analysis and I/O acceleration on leadership-class systems. LDAV 2011: 9-14 - [c35]Mark Hereld, Joseph A. Insley, Eric C. Olson, Michael E. Papka, Venkatram Vishwanath, Michael L. Norman, Rick Wagner:
Exploring large data over wide area networks. LDAV 2011: 133-134 - [c34]Leopold Grinberg, Joseph A. Insley, Vitali A. Morozov, Michael E. Papka, George E. Karniadakis, Dmitry A. Fedosov, Kalyan Kumaran:
A new computational paradigm in multiscale simulations: application to brain blood flow. SC 2011: 5:1-5:5 - [c33]Venkatram Vishwanath, Mark Hereld, Vitali A. Morozov, Michael E. Papka:
Topology-aware data movement and staging for I/O acceleration on Blue Gene/P supercomputing systems. SC 2011: 19:1-19:11 - [c32]Joseph A. Insley, Leopold Grinberg, Michael E. Papka, George E. Karniadakis:
Electronic poster: visualizing multiscale simulation data. SC Companion 2011: 101-102 - [c31]Michel E. Rasquin, Patrick Marion, Venkatram Vishwanath, Benjamin A. Matthews, Mark Hereld, Kenneth E. Jansen, Raymond M. Loy, Andrew C. Bauer, Min Zhou, Onkar Sahni, Jing Fu, Ning Liu, Christopher D. Carothers, Mark S. Shephard, Michael E. Papka, Kalyan Kumaran, Berk Geveci:
Electronic poster: co-visualization of full data and in situ data extracts from unstructured grid cfd at 160k cores. SC Companion 2011: 103-104 - [c30]Joseph A. Insley, Leopold Grinberg, Dmitry A. Fedosov, Vitali A. Morozov, Bruce Caswell, Michael E. Papka, George E. Karniadakis:
Blood flow: multi-scale modeling and visualization. SC Companion 2011: 139-140 - [c29]Joseph A. Insley, Rick Wagner, Robert Harkness, Daniel R. Reynolds, Michael L. Norman, Mark Hereld, Eric C. Olson, Michael E. Papka, Venkatram Vishwanath:
Modeling early galaxies using radiation hydrodynamics. SC Companion 2011: 141-142 - [c28]Joseph A. Insley, Leopold Grinberg, Michael E. Papka:
Visualization of multiscale simulation data: brain blood flow. TG 2011: 18:1-18:2 - [c27]Mark Hereld, Michael E. Papka, Joseph A. Insley, Michael L. Norman, Eric C. Olson, Rick Wagner:
Interactive large data exploration over the wide area. TG 2011: 19:1-19:2 - [c26]Thomas D. Uram, Michael E. Papka, Mark Hereld, Michael Wilde:
A solution looking for lots of problems: generic portals for science infrastructure. TG 2011: 44:1-44:7 - 2010
- [c25]Wenjun Wu, Thomas D. Uram, Michael Wilde, Mark Hereld, Michael E. Papka:
A Web 2.0-Based Scientific Application Framework. ICWS 2010: 642-643 - [c24]Venkatram Vishwanath, Mark Hereld, Kamil Iskra, Dries Kimpe, Vitali A. Morozov, Michael E. Papka, Robert B. Ross, Kazutomo Yoshii:
Accelerating I/O Forwarding in IBM Blue Gene/P Systems. SC 2010: 1-10 - [c23]Wenjun Wu, Thomas D. Uram, Michael Wilde, Mark Hereld, Michael E. Papka:
Accelerating science gateway development with Web 2.0 and Swift. TG 2010: 23:1-23:7
2000 – 2009
- 2009
- [c22]Joseph A. Insley, Ti Leggett, Michael E. Papka:
Using dynamic accounts to enable access to advanced resources through science gateways. SC-GCE 2009 - [c21]Wenjun Wu, Thomas D. Uram, Michael E. Papka:
Web 2.0-based social informatics data grid. SC-GCE 2009 - 2008
- [j11]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) - [c20]Mark Hereld, Michael E. Papka, Thomas D. Uram:
Collaboration as a second thought. CTS 2008: 196-202 - [c19]Jonathan C. Silverstein, Colin Walsh, Fred Dech, Eric C. Olson, Michael E. Papka, Nigel M. Parsad, Rick Stevens:
Multi-Parallel Open Technology to Enable Collaborative Volume Visualization: How to Create Global Immersive Virtual Anatomy Classrooms. MMVR 2008: 463-468 - 2007
- [j10]Justin Binns, Jonathan DiCarlo, Joseph A. Insley, Ti Leggett, Cory Lueninghoener, John-Paul Navarro, Michael E. Papka:
Enabling community access to TeraGrid visualization resources. Concurr. Comput. Pract. Exp. 19(6): 783-794 (2007) - [j9]Joseph A. Insley, Michael E. Papka, Suchuan Dong, George E. Karniadakis, Nicholas T. Karonis:
Runtime Visualization of the Human Arterial Tree. IEEE Trans. Vis. Comput. Graph. 13(4): 810-821 (2007) - [c18]Jonathan C. Silverstein, Colin Walsh, Fred Dech, Eric C. Olson, Michael E. Papka, Nigel M. Parsad, Rick L. Stevens:
Immersive Virtual Anatomy Course using a Cluster of Volume Visualization Machines and Passive Stereo. MMVR 2007: 439-444 - [c17]Gina-Anne Levow, Bennett I. Bertenthal, Mark Hereld, Sarah Kenny, David McNeill, Michael E. Papka, Sonjia Waxmonsky:
SIDGRID: A Framework for Distributed and Integrated Multimodal Annotation and Archiving and and Analysis. SIGdial 2007: 231-234 - 2006
- [j8]Suchuan Dong, Joseph A. Insley, Nicholas T. Karonis, Michael E. Papka, Justin Binns, George E. Karniadakis:
Simulating and visualizing the human arterial system on the TeraGrid. Future Gener. Comput. Syst. 22(8): 1011-1017 (2006) - [c16]Charlie Catlett, William E. Allcock, Phil Andrews, Ruth A. Aydt, Ray Bair, Natasha Balac, Bryan Banister, Trish Barker, Mark Bartelt, Peter H. Beckman, Francine Berman, Gary R. Bertoline, Alan Blatecky, Jay Boisseau, Jim Bottum, Sharon Brunett, Julian J. Bunn, Michelle Butler, David Carver, John Cobb, Tim Cockerill, Peter Couvares, Maytal Dahan, Diana Diehl, Thom H. Dunning, Ian T. Foster, Kelly P. Gaither, Dennis Gannon, Sebastien Goasguen, Michael Grobe, David L. Hart, Matt Heinzel, Chris Hempel, Wendy Huntoon, Joseph A. Insley, Christopher T. Jordan, Ivan R. Judson, Anke Kamrath, Nicholas T. Karonis, Carl Kesselman, Patricia A. Kovatch, Lex Lane, Scott A. Lathrop, Michael J. Levine, David Lifka, Lee Liming, Miron Livny, Rich Loft, Doru Marcusiu, Jim Marsteller, Stuart Martin, D. Scott McCaulay, John McGee, Laura McGinnis, Michael A. McRobbie, Paul Messina, Reagan W. Moore, Richard Lee Moore, John-Paul Navarro, Jeff Nichols, Michael E. Papka, Rob Pennington, Greg Pike, Jim Pool, Raghurama Reddy, Daniel A. Reed, Tony Rimovsky, Eric Roberts, Ralph Roskies, Sergiu Sanielevici, J. Ray Scott, Anurag Shankar, Mark Sheddon, Mike Showerman, Derek Simmel, Abe Singer, Dane Skow, Shava Smallen, Warren Smith, Carol X. Song, Rick L. Stevens, Craig A. Stewart, Robert B. Stock, Nathan Stone, John Towns, Tomislav Urban, Mike Vildibill, Edward Walker, Von Welch, Nancy Wilkins-Diehr, Roy Williams, Linda Winkler, Lan Zhao, Ann Zimmerman:
TeraGrid: Analysis of Organization, System Architecture, and Middleware Enabling New Types of Applications. High Performance Computing Workshop 2006: 225-249 - [c15]Han Gao, Michael E. Papka, Rick L. Stevens:
Extending Multicast Communications by Hybrid Overlay Network. ICC 2006: 820-828 - [c14]James P. Ahrens, Hank Childs, John P. Clyne, Wes Bethel, Jian Huang, Scott Klasky, Kwan-Liu Ma, Kenneth Moreland, Michael E. Papka, Valerio Pascucci, Han-Wei Shen, Deborah Silver:
Ultra-scale visualization - Workshop on ultra-scale visualization. SC 2006: 235 - [c13]Mark Hereld, Michael E. Papka, Justin Binns, Rick L. Stevens:
CupHolder: A Multi-Person Interactive High-Resolution Workstation. VR 2006: 323 - 2005
- [j7]Katarzyna Keahey, Michael E. Papka, Qian Peng, David P. Schissel, Gheni Abla, Takuya Araki, Justin Burruss, Eliot Feibush, Peter Lane, Scott Klasky, Ti Leggett, Douglas McCune, Lewis E. Randerson:
Grid Support for Collaborative Control Room in Fusion Science. Clust. Comput. 8(4): 305-311 (2005) - [c12]Han Gao, Ivan R. Judson, Thomas D. Uram, S. Lefvert, Terry Disz, Michael E. Papka, Rick L. Stevens:
An Infrastructure of Network Services for Seamless Integration in Advanced Collaborative Computing Environments. CLUSTER 2005: 1-10 - [c11]Justin Binns, Fred Dech, Matthew McCrory, Michael E. Papka, Jonathan C. Silverstein, Rick L. Stevens:
Developing a Distributed Collaborative Radiological Visualization Application. HealthGrid 2005: 70-79 - [c10]Han Gao, Michael E. Papka, Rick L. Stevens:
Performance Metrics of IP Multicast Sessions. ISM 2005: 183-192 - [c9]Robert L. Grossman, Michal Sabala, Anushka Anand, Steve Eick, Leland Wilkinson, Pei Zhang, John Chaves, Steve Vejcik, John F. Dillenburg, Peter C. Nelson, Doug Rorem, Javid Alimohideen, Jason Leigh, Michael E. Papka, Rick L. Stevens:
Real Time Change Detection and Alerts from Highway Traffic Data. SC 2005: 69 - 2004
- [j6]Wim van Drongelen, Hyong Chol Lee, Mark Hereld, David Jones, Matthew Cohoon, Frank Elsen, Michael E. Papka, Rick L. Stevens:
Simulation of neocortical epileptiform activity using parallel computing. Neurocomputing 58-60: 1203-1209 (2004) - [c8]Han Gao, Ivan R. Judson, Thomas D. Uram, Terry Disz, Michael E. Papka, Rick L. Stevens:
Capability matching of data streams with network services. CCGRID 2004: 419-425 - [c7]Katarzyna Keahey, Michael E. Papka, Qian Peng, David P. Schissel, Gheni Abla, Takuya Araki, Justin Burruss, Eliot Feibush, Peter Lane, Scott Klasky, Ti Leggett, Douglas McCune, Lewis E. Randerson:
Grids for Experimental Science: The Virtual Control Room. CLADE 2004: 4 - 2003
- [j5]Nicholas T. Karonis, Michael E. Papka, Justin Binns, John Bresnahan, Joseph A. Insley, David Jones, Joseph M. Link:
High-resolution remote rendering of large datasets in a collaborative environment. Future Gener. Comput. Syst. 19(6): 909-917 (2003) - [j4]Rick L. Stevens, Michael E. Papka, Terry Disz:
Prototyping the Workspaces of the Future. IEEE Internet Comput. 7(4): 51-58 (2003) - 2002
- [c6]William E. Allcock, Joseph Bester, John Bresnahan, Ian T. Foster, Jarek Gawor, Joseph A. Insley, Joseph M. Link, Michael E. Papka:
GridMapper: A Tool for Visualizing the Behavior of Large-Scale Distributed Systems. HPDC 2002: 179-187 - 2001
- [j3]James P. Ahrens, Kristi Brislawn, Ken Martin, Berk Geveci, C. Charles Law, Michael E. Papka:
Large-Scale Data Visualization Using Parallel Data Streaming. IEEE Computer Graphics and Applications 21(4): 34-41 (2001)
1990 – 1999
- 1999
- [c5]Henry M. Tufo, Paul F. Fischer, Michael E. Papka, Kristopher J. Blom:
Numerical Simulation and Immersive Visualization of Hairpin Vortices. SC 1999: 62 - 1997
- [c4]Terry Disz, Michael E. Papka, Rick L. Stevens:
UbiWorld: an environment integrating virtual reality, supercomputing, and design. Heterogeneous Computing Workshop 1997: 46- - 1996
- [j2]Thomas A. DeFanti, Ian T. Foster, Michael E. Papka, Rick Stevens, Tim Kuhfuss:
Overview of the I-Way: Wide-Area Visual Supercomputing. Int. J. High Perform. Comput. Appl. 10(2-3): 123-131 (1996) - [c3]Ian T. Foster, Michael E. Papka, Rick L. Stevens:
Tools for Distributed Collaborative Environments: A Research Agenda. HPDC 1996: 23-28 - [c2]Michael E. Papka, Rick L. Stevens:
UbiWorld: An Environment Integrating Virtual Reality, Supercomputing and Design. HPDC 1996: 306-307 - 1995
- [j1]Terrence Disz, Rémy Evard, Mark Henderson, William Nickless, Robert Olson, Michael E. Papka, Rick Stevens:
Designing the future of collaborative science: Argonne's Futures Laboratory. IEEE Parallel Distributed Technol. Syst. Appl. 3(2): 14-21 (1995) - 1994
- [c1]Sumit Das, Terry Franguiadakis, Michael E. Papka, Thomas A. DeFanti, Daniel J. Sandin:
A Genetic Programming Application in Virtual Reality. International Conference on Evolutionary Computation 1994: 480-484
Coauthor Index
[i26] [c141] [c140] [c139] [c138] [c136] [c129] [d1] [i16] [i12] [c123] [c121] [c120] [c118] [c114] [j32] [c111] [c109] [c106] [c102] [c101] [c100] [c99] [c97] [c93] [c91] [j25] [c84] [c82] [c81] [c78] [c74] [c71] [c70] [c65] [c55] [j13] [c42] [c41] [c40] [c37] [c35] [c34] [c32] [c30] [c29] [c28] [c27] [c22] [j10] [j9] [j8] [c16] [j5] [c6]
Rick L. Stevens
aka: Rick Stevens
aka: Rick Stevens
[i25] [c144] [c142] [c137] [c135] [j46] [i15] [i14] [i13] [c126] [c119] [j39] [c108] [c107] [i4] [c98] [c97] [c95] [c90] [c89] [j26] [j24] [c84] [c82] [c81] [c80] [c79] [c76] [c75] [c74] [c73] [c71] [c70] [c69] [j18] [c65] [c64] [c63] [c60] [c59] [c58] [c57] [c56] [c55] [c53] [c50] [c47] [c46] [c44] [c43] [c36] [c35] [c33] [c31] [c29] [c24]
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