Publications

Our publications provide insight into some of our leading-edge research.

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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
BabelFlow: An Embedded Domain Specific Language for Parallel Analysis and Visualization
Steve Petruzza, Sean Treichler, Valerio Pascucci, Peer-Timo Bremer

2016

Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Yang Shi, U. N. Niranjan, Animashree Anandkumar, Cris Cecka
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design.
Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Steve Keckler
Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency
Radha Venkatagiri, Abdulrahman Mahmoud, Siva Hari, Sarita Adve
All-Inclusive ECC: Thorough End-to-End Protection for Reliable Computer Memory
Jungrae Kim, Michael B. Sullivan, Sangkug Lym, Mattan Erez
S-Step and Communication-Avoiding Iterative Methods
Maxim Naumov
Selective GPU Caches to Eliminate CPU-GPU HW Cache Coherence
Neha Agarwal, David Nellans, Eiman Ebrahimi, Thomas F. Wenisch, John Danskin, Steve Keckler
Towards High Performance Paged Memory for GPUs
Tianhao Zheng, David Nellans, Arslan Zulfiqar, Mark Stephenson, Steve Keckler
A Case for Toggle-Aware Compression for GPU Systems
Gennady Pekhimenko, Evgeny Bolotin, Nandita Vijaykumar, Onur Mutlu, Todd C. Mowry, Steve Keckler
Parallel Spectral Graph Partitioning
Maxim Naumov, Timothy Moon