The Mathematics and Computer Science (MCS) division at Argonne National Laboratory will play a major role at SC19, the premier annual conference in high-performance computing, networking, storage and analysis. This year’s event will take place Nov. 17-22, 2019, in Denver, Colorado. MCS staff will share their work and knowledge through a wide range of activities, including invited talks, technical paper presentations, workshops, panel discussions and tutorials.

Following is a list of the activities MCS researchers are participating in at this year’s conference (MCS staff names in bold). For the full SC19 program, see the website at https://​sc19​.super​com​put​ing​.org/.

Invited Talks 

• Invited Talks – Valerie Taylor (session chair)
• Scientific Domain-Informed Machine Learning – Prasanna Balaprakash (DOE booth)

Papers

• Significantly Improving Lossy Compression Quality Based on an Optimized Hybrid Prediction Model – Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello
• Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research – Prasanna Balaprakash, Romain Egele, Michael A. Salim, Stefan Wild, Venkatram Vishwanath, Fangfang Xia, Tom Brettin, Rick Stevens
• FT-iSort: Efficient Fault Tolerance for Introsort –  Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen
• Full-State Quantum Circuit Simulation by Using Data Compression – Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong

Birds of a Feather Sessions

• Big Data and Exascale Computing (BDEC2) Community Roundtable – Pete Beckman, Mark Asch, Jack Dongarra
• Reconfigurable/FPGA Clusters for High Performance Computing – Martin Herbordt, Taisuke Boku, Franck Cappello, Naoya Maruyama, Andrew Putnam, Kentaro Sano, Jeffrey Vetter, Kazutomo Yoshii, Xavier Martorell, Venkata Krishnan, Christian Plessl, Torsten Hoefler
• MPICH: A High­Performance Open­Source MPI Implementation – Ken Raffenetti, Yanfei Guo, Min Si, Giuseppe Congiu, Hui Zhou, Shintaro Iwasaki
• Analyzing Parallel I/O – Shane Snyder, Julian Kunkel

Panels

• Early Career Program – Ralph McEldowney, Valerie Taylor, Satoshi Matsuoka, Alison Kennedy (panelists)
• Reconfigurable Computing in HPC: Success Stories Today and Future? – Franck Cappello (moderator); Taisuke Boku, Christian Plessl, Kentaro Sano, Kazutomo Yoshii, Martin Herbordt, Jeff Vetter (panelists)
• Machine-Learning Hardware: Architecture, System Interfaces, and Programming Models – Pete Beckman, Prasanna Balaprakash, Swann Perarnau, Valentin Reis (session leaders)
• Enabling Data Services for HPC – Jerome Soumagne, Philip Carns, Mohamad Chaarawi, Kevin Huck, Manish Parashar, Robert Ross (session leaders)
• OpenSHMEM: State of the Union 2019 – Steve Poole, Tony Curtis, Min Si, Howard Pritchard, Pavel Shamis (session leaders)
• HPC Big Data and AI: Computing under Constraints – Satoshi Matsuoka, Charles Catlett, Rosa M. Badia, Greg Koenig, Ewa Deelman (panelists)

Tutorial

Parallel I/O in Practice – Robert Latham, Robert Ross, Brent Welch, Glenn Lockwood

Workshop Organization

• The 2019 International Workshop on Software Engineering for HPC-Enabled Research (SE-HER 2019) – Jeffrey Carver, Neil Chue Hong, Daniel S. Katz, Anshu Dubey
• H2RC 2019: Fifth International Workshop on Heterogeneous High-Performance Reconfigurable Computing – Jason Bakos, Christian Plessl, Franck Cappello, Torsten Hoefler, Michaela Blott
• Women in HPC: Diversifying the HPC Community and Engaging Male Allies – Misbah Mubarak, Gokcen Kestor, Toni Collis, Marium Umar
• ISAV 2019: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization – Wes Bethel, Kenneth Moreland, Nicola Ferrier, Matthew Wolf

Workshop Presentations

• WORKS19 Keynote: Priority Research Directions for In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources – Thomas Peterka (The 14^th Workshop on Workflows in Support of Large-Scale Science (WORKS19)
• A Study of Hydrodynamics Based Community Codes in the Astrophysics – Anshu Dubey (The 2019 International Workshop on Software Engineering for HPC-Enabled Research (SE-HER 2019))
• A Codesign Framework for Online Data Analysis and Reduction – (The 14^th Workshop on Workflows in Support of Large-Scale Science (WORKS19))
• Lightweight Software Process Improvement Using Productivity and Sustainability Improvement Planning (PSIP) – Michael A. Heroux, Elsa Gonsiorowski, Rinku Gupta, Reed Milewicz, J. David Moulton, Gregory R. Watson, Jim Willenbring, Richard Zamora, Elaine M. Raybourn (The 2019 International Workshop on Software Engineering for HPC-Enabled Research (SE-HER 2019))
• Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training – Jiali Li, Bogdan Nicolae, Justin Wozniak, George Bosilca (Machine Learning in HPC Environments)         
• The Challenges of Elastic in Situ Analysis and Visualization – Matthieu Dorier, Orcun Yildiz, Thomas Peterka, Robert Ross (ISAV 2019: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization)
• Simulation-Driven Design of Photonic Quantum Communication Networks – Martin Suchara (PHOTONICS: Photonics-Optics Technology Oriented Networking, Information, and Computing System)
• Applying Machine Learning Techniques to Understand the Write Performance of Large-Scale Parallel Filesystems – Bing Xie, Zilong Tan, Philip Carns, Jeff Chase, Kevin Harms, Jay Lofstead, Sarp Oral, Sudharshan Vazhkudai, Feiyi Wang (International Parallel Data Systems Workshop (PDSW))
• A House Divided: Why Don’t Cloud Storage and HPC Storage Share More Technology? – Philip Carns, Glenn K. Lockwood (International Parallel Data Systems Workshop (PDSW))
• Explicit Data Layout Management for Autotuning Exploration on Complex Memory Topologies –  Swann Perarnau, Brice Videau, Nicolas Denoyelle, Florence Monna, Kamil Iskra, Pete Beckman (MCHPC’19: Workshop on Memory Centric High Performance Computing)
• Invited Presentation: Enabling Scientific Discovery from Diverse Data Sources through In Situ Data Management – Thomas Peterka (ISAV 2019: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization)
• Understanding Data Motion in the Modern HPC Data Center – Glenn K. Lockwood, Shane Snyder, Suren Byna, Philip Carns, Nicholas J. Wright (International Parallel Data Systems Workshop (PDSW))
• PDSW Discussion and Closing Remarks – Suzanne McIntosh, Philip Carns, Glenn K. Lockwood (International Parallel Data Systems Workshop (PDSW))
• Chameleon: How to Build a Cloud++ – Kate Keahey (HPC Systems Professionals Workshop [HPCSYSPROS19])

Posters

• Reinforcement Learning for Quantum Approximate Optimization – Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, Prasanna Balaprakash
• libCEED - Lightweight High-Order Finite Elements Library with Performance Portability and Extensibility – Jeremy Thompson, Valeria Barra, Yohann Dudouit, Oana Marin, Jed Brown
• Poster 80: Sharing and Replicability of Notebook-Based Research on Open Testbeds – Maxine V. King, Jason Anderson, Kate Keahey
• Parallelizing Simulations of Large Quantum Circuits – Michael A. Perlin, Teague Tomesh, Bradley Pearlman, Wei Tang, Yuri Alexeev, Martin Suchara
• Exploring Interprocess Work Stealing for Balanced MPI Communication – Kaiming Ouyang, Min Si, Zizhong Chen
• ILP-Based Scheduling for Linear-Tape Model Trapped-Ion Quantum Computers – Xin-Chuan Wu, Yongshan Ding, Yunong Shi, Yuri Alexeev, Kibaek Kim, Hal Finkel, Frederic T. Chong
• Optimizing Asynchronous Multi-Level Checkpoint/Restart Configurations with Machine Learning – Tonmoy Dey, Kento Sato, Jian Guo, Bogdan Nicolae, Jens Domke, Weikuan Yu, Franck Cappello, Kathryn Mohror