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High Performance Computing

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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

2017

Integrating External Resources with a Task-Based Programming Model

Zhihao Jia, Sean Treichler, Galen Shipman, Michael Bauer, Noah Watkins, Carlos Maltzahn, Patrick McCormick, Alex Aiken

AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks

Aditya Devarakonda, Maxim Naumov, Michael Garland

Near-eye Light Field Holographic Rendering with Spherical Waves for Wide Field of View Interactive 3D Computer Graphics

Liang Shi, Fu-Chung Huang, Ward Lopes, Wojciech Matusik, David Luebke

A Novel Shard-Based Approach for Asynchronous Many-Task Models for In Situ Analysis

Philippe P. Pébaÿ, Giulio Borghesi, Hemanth Kolla, Janine C. Bennett, Sean Treichler

Control Replication: Compiling Implicit Parallelism to Efficient SPMD with Logical Regions

Elliott Slaughter, Wonchan Lee, Sean Treichler, Wen Zhang, Michael Bauer, Galen Shipman, Patrick McCormick, Alex Aiken

Low Communication FMM-Accelerated FFT on GPUs

Parallel Jaccard and Related Graph Clustering Techniques

Alexandre Fender, Nahid Emad, Serge Petiton, Joe Eaton, Maxim Naumov

Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems

Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John Wilson, Aditya Agrawal, Steve Keckler, William Dally

Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form

Maxim Naumov

Exploiting Budan-Fourier and Vincent’s Theorems for Ray Tracing 3D Bézier Curves

Alexander Reshetov

Parallel Modularity Clustering

Alexandre Fender, Nahid Emad, Serge Petiton, Maxim Naumov

Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors

Benjamin Klenk, Holger Fröning, Hans Eberle, Larry Dennison

Best Paper Award

The Iray Light Transport Simulation and Rendering System

Alex Keller, Carsten Wächter, Matthias Raab, Daniel Seibert, Dietger van Antwerpen, Johann Korndörfer, Lutz Kettner

SASSIFI: An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation

Siva Hari, Timothy Tsai, Mark Stephenson, Steve Keckler, Joel Emer

Parallel Depth-First Search for Directed Acyclic Graphs

Maxim Naumov, Alysson Vrielink, Michael Garland