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High Performance Computing

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High Performance Computing

2019

Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication

Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor

Highly-scalable, Physics-informed GANs for Learning Solutions of Stochastic PDEs

Liu Yang, Sean Treichler, Thorsten Kurth, Keno Fischer, David Barajas-Solano, Josh Romero, Valentin Churavy, Alexandre Tartakovsky, Michael Houston, Prabhat, George Karniadakis

Exascale Deep Learning for Scientific Inverse Problems

Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Borisevich, Alex Sergeev, Michael Matheson

Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance

Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Qinglei Cao, George Bosilca, Seema Mirchandaney, Wonchan Lee, Sean Treichler, Patrick McCormick, Alex Aiken

Optimizing Multi-GPU Parallelization Strategies for Deep Learning Training

Saptadeep Pal, Eiman Ebrahimi, Arslan Zulfiqar, Yaosheng Fu, Victor Zhang, Szymon Migacz, David Nellans, Puneet Gupta

GPU-Accelerated Atari Emulation for Reinforcement Learning

Steven Dalton, Iuri Frosio, Michael Garland

GPU Snapshot: Checkpoint Offloading for GPU-Dense Systems

Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez

On the Trend of Resilience for GPU-Dense Systems

Kyushick Lee, Michael B. Sullivan, Siva Hari, Timothy Tsai, Steve Keckler, Mattan Erez

Best of SELSE (Workshop on Silicon Errors in Logic - System Effects)

NVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation

Joohwan Kim, Michael Stengel, Alexander Majercik, Shalini De Mello, David Dunn, Samuli Laine, Morgan McGuire, David Luebke

Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs

Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, Stephen W. Keckler

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez

A Fast and Robust Method for Avoiding Self-Intersection

Carsten Wächter, Nikolaus Binder

Massively Parallel Path Space Filtering

Nikolaus Binder, Sascha Fricke, Alex Keller

Metaoptimization on a Distributed System for Deep Reinforcement Learning

Greg Heinrich, Iuri Frosio

Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions

Nikolaus Binder, Alex Keller

2018

Dynamic Tracing: Memoization of Task Graphs for Dynamic Task-based Runtimes

Wonchan Lee, Elliott Slaughter, Michael Bauer, Sean Treichler, Todd Warszawski, Michael Garland, Alex Aiken

Exascale Deep Learning for Climate Analytics

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston

Evaluating and Accelerating High-Fidelity Error Injection for HPC

Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez

Exploiting Idle Resources in a High-Radix Switch for Supplemental Storage

Matthias Blumrich, Ted Jiang, Larry Dennison

Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes

Nikolaus Binder, Alex Keller

Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces

Nikolaus Binder, Alex Keller

Exascale Deep Learning for Climate Analytics

Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett Phillips, Ankur Mahesh, Michael Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston

CRUM: Checkpoint-Restart Support for CUDA's Unified Memory

Rohan Garg, Apoorve Mohan, Michael B. Sullivan, Gene Cooperman

Phantom Ray-Hair Intersector

Alexander Reshetov, David Luebke

Hamartia: A Fast and Accurate Error Injection Framework

Chun-Kai Chang, Sangkug Lym, Nicholas Kelly, Michael B. Sullivan, Mattan Erez

Isometry: A Path-Based Distributed Data Transfer System

Zhihao Jia, Sean Treichler, Galen Shipman, Patrick McCormick, Alex Aiken

Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training

Maohua Zhu, Jason Clemons, Jeff Pool, Minsoo Rhu, Steve Keckler, Yuan Xie

Scalable Collectives for Distributed Asynchronous Many-Task Runtimes

Matthew Whitlock, Hemanth Kolla, Sean Treichler, Philippe Pebay, Janine C. Bennett