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ORCIDMichael E. Papka
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- 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
- 2023
[i12]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)- 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 E. Taylor, Douglas Pancoast, Daniel A. Reed, Manish Parashar, David Abramson:
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 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) - [c125]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 - [c124]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 - [c123]Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka:
Hybrid Workload Scheduling on HPC Systems. IPDPS 2022: 470-480 - [c122]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 - [c121]Boyang Li, Yuping Fan, Michael E. Papka, Zhiling Lan:
Encoding for Reinforcement Learning Driven Scheduling. JSSPP 2022: 68-87 - [c120]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 - [c119]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 - [c118]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, Adrian Macias, Chetan Tekur, Matthew Boyd:
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC 2022: 13-25 - [c117]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 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) - [c116]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 - [c115]Bharat Kale, Maoyuan Sun, Michael E. Papka:
Direct Ordering: A Direct Manipulation Based Ordering Technique. IUI Workshops 2021 - [c114]Riley Lipinski, Kenneth Moreland, Michael E. Papka, Thomas Marrinan:
GPU-based Image Compression for Efficient Compositing in Distributed Rendering Applications. LDAV 2021: 43-52 - [c113]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 - [c112]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) - [c111]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) - [c110]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 - [c109]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 - [c108]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 - [c107]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 - [c106]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 - [c105]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 - [c104]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 - [c103]Khairi Reda, Michael E. Papka:
Evaluating Gradient Perception in Color-Coded Scalar Fields. IEEE VIS (Short Papers) 2019: 271-275 - [c102]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) - [c101]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 - [c100]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 - [c99]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 - [c98]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 - [c97]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 - [c96]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) - [c95]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 - [c94]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 - [c93]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 - [c92]Thomas Marrinan, Joseph A. Insley, Silvio Rizzi, Francois Tessier, Michael E. Papka:
Automated Dynamic Data Redistribution. IPDPS Workshops 2017: 1208-1215 - [c91]Christian Bailey, Bharat Kale, Jamieson Walker, Harish Varma Siravuri, Hamed Alhoori, Michael E. Papka:
Exploring Features for Predicting Policy Citations. JCDL 2017: 297-298 - [c90]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 - [c89]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 - [c88]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 - [c87]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) - [c86]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 - [c85]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 - [c84]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 - [c83]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 - [c82]Michael E. Papka:
LSPP 2016 Keynote. IPDPS Workshops 2016: 1340 - [c81]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 - [c80]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 - [c79]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 - [c78]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 - [c77]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) - [c76]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 - [c75]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, Zhiling Lan, Michael E. Papka:
Comparison of Vendor Supplied Environmental Data Collection Mechanisms. CLUSTER 2015: 690-697 - [c74]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 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]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 - [c68]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 - [c67]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) - [c66]Khairi Reda, Andrew E. Johnson, Jason Leigh, Michael E. Papka:
Evaluating user behavior and strategy during visual exploration. BELIV 2014: 41-45 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]Phil Lindner, Adolfo Rodriguez, Thomas D. Uram, Michael E. Papka:
Augmenting views on large format displays with tablets. SUI 2014: 161 - 2013
- [j15]