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Organization

Nvidia Corporation
Contributors
Bryce Adelstein-Lelbach
Anima Anandkumar
Michael E. Bauer
Joseph Bungo
Mozhgan K. Chimeh
Kate Clark
Adam DeConinck
Jim Dinan
Michael Garland
Tom Gibbs
Marc Hamilton
Siva Kumar Sastry Hari
Michael Houston
Bo Yang Hsueh
Nikhil Jain
Xiaoying Jia
Stephen Jones
Mozhgan Kabiri Chimeh
Max Katz
Thorsten Kurth
Jeff Larkin
Wonchan Lee
Scott LeGrand
Xipeng Li
Scott McMillan
Peter Messmer
CJ Newburn
Josh Romero
Gilad Shainer
Abraham Stern
Michael Sullivan
Sean Treichler
Timothy Tsai
Zehuan Wang
Session Chairs
Tom Gibbs
Mike Houston
CJ Newburn
Sean Treichler
Presentations
Paper
A Performance-Portable Nonhydrostatic Atmospheric Dycore for the Energy Exascale Earth System Model Running at Cloud-Resolving Resolutions
Applications
Extreme Scale Computing
Mixed-precision
TP
Posters
Research Posters
A Simulation Study of Hardware Parameters for GPU-based HPC Platforms
TP
XO
Exhibitor Forum
Accelerating Discoveries Now: Building the HPC and AI Supercomputer of the Future, Today
Machine Learning, Deep Learning and Artificial Intelligence
XO
Paper
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Sparse Computation
TP
ACM Gordon Bell COVID Finalist
Awards Presentation
AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics
TP
Workshop
Bringing GPU Accelerated Computing and Deep Learning to the Classroom
Education, Training and Outreach
HPC Training and Education
SIGHPC
W
Tutorial
Deep Learning at Scale
Big Data
Machine Learning, Deep Learning and Artificial Intelligence
Scalable Computing
TUT
Workshop
Diversity, Community Building, and Virtual Events
Education, Training and Outreach
HPC Training and Education
SIGHPC
W
Early Career Program
Early Career – Day 1 Wrapup
TP
W
Early Career Program
Early Career – Welcome
TP
W
Early Career Program
Early Career – Welcome and Introduction
TP
W
Early Career Program
Early Career – Workshop Wrapup
TP
W
Workshop
ExaMPI – Keynote: Jim Dinan
W
Paper
GPU-Trident: Efficient Modeling of Error Propagation in GPU Programs
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Performance/Productivity Measurement and Evaluation
Reliability and Resiliency
TP
ACM Gordon Bell COVID Finalist
Awards Presentation
High-Throughput Virtual Laboratory for Drug Discovery Using Massive Datasets
TP
Workshop
HiPar20 – Keynote 1: Exploiting Hierarchical Algorithms on Ever More Hierarchical Architectures
Extreme Scale Computing
Heterogeneous Systems
Parallel Programming Languages, Libraries, and Models
Portability
Resource Management and Scheduling
Scalable Computing
W
Workshop
HiPar20 – Panel Session
Extreme Scale Computing
Heterogeneous Systems
Parallel Programming Languages, Libraries, and Models
Portability
Resource Management and Scheduling
Scalable Computing
W
State of the Practice Talk
Interactivity, Engagement and Community Building in Online HPC Education and Training
Best Practices
HPC Training and Education
TP
Workshop
Introduction: Machine Learning in HPC Environments
W
Workshop
IPDRM – Introduction: Fourth International Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware
W
Workshop
Keynote: Michael Garland - Programming Systems of Data
W
Paper
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
Applications
Machine Learning, Deep Learning and Artificial Intelligence
Parallel Programming Languages, Libraries, and Models
TP
Best Student Paper Finalist
Workshop
NGC Container Environment Modules
W
Birds of a Feather
OpenMP API Version 5.1 – Paving the Way to Exascale
TP
XO
Workshop
P3HPC – Introduction: 3rd International Workshop on Performance Portability and Productivity
W
Tutorial
Performance Tuning with the Roofline Model on GPUs and CPUs: Part 1
Accelerators, FPGA, and GPUs
Heterogeneous Systems
Requirements, Performance, and Benchmarks
Performance/Productivity Measurement and Evaluation
Scalable Computing
TUT
Tutorial
Performance Tuning with the Roofline Model on GPUs and CPUs: Part 2
Accelerators, FPGA, and GPUs
Heterogeneous Systems
Requirements, Performance, and Benchmarks
Performance/Productivity Measurement and Evaluation
Scalable Computing
TUT
Paper
Preparing Nuclear Astrophysics for Exascale
Applications
Extreme Scale Computing
Mixed-precision
TP
Early Career Program
Productivity, Planning, Career
TP
W
Workshop
PyHPC – Keynote: Reprising the Zen of Python for HPC
W
Workshop
Site Report: NVIDIA
W
Birds of a Feather
Software Engineering and Reuse in Modeling, Simulation and Data Analytics for Science and Engineering
TP
XO
Exhibitor Forum
SOLAR Consortium: Accelerated Ray Tracing for Scientific Simulations
Collaborative Environments
Parallel Programming Languages, Libraries, and Models
Visualization
XO
Birds of a Feather
Strategies for Transitioning to Online HPC Education and Training
TP
XO
Paper
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance
Machine Learning, Deep Learning and Artificial Intelligence
Requirements, Performance, and Benchmarks
Reliability and Resiliency
TP
Panel
TBAA: Task-Based Algorithms and Applications
Algorithms
Applications
TP
Workshop
Time-Based Roofline for Deep Learning Performance Analysis
W
Sessions
Workshop
Machine Learning in HPC Environments
W
Workshop
PAW-ATM 2020: The 3rd Annual Parallel Applications Workshop, Alternatives To MPI+X
W
Workshop
P3HPC: 3rd International Workshop on Performance Portability and Productivity
W
Paper
Sparsity in Deep Learning
Accelerators, FPGA, and GPUs
Machine Learning, Deep Learning and Artificial Intelligence
Sparse Computation
TP
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