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High Performance Computing

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High Performance Computing

2017

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

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

2015

Network Endpoint Congestion Control for Fine-Grained Communication

Ted Jiang, Larry Dennison, William Dally

The Light Field Stereoscope

Fu-Chung Huang, David Luebke, Gordon Wetzstein

Parallel Graph Coloring with Applications to the Incomplete-LU Factorization on the GPU

Maxim Naumov, Patrice Castonguay, Jonathan Cohen

In-Memory Graph Databases for Web-Scale Data

Vito Giovanni Castellana, Alessandro Morari, Jesse Weaver, Antonino Time, David Haglin, Oreste Villa, John Feo

2014

Scaling the Power Wall: A Path to Exascale

Oreste Villa, Daniel Johnson, Mike O'Connor, Evgeny Bolotin, David Nellans, Justin Luitjens, Nikolai Sakharnykh, Peng Wang, Paulius Micikevicius, Anthony Scudiero, Steve Keckler, William Dally

2012

Preconditioned Block-Iterative Methods on GPUs

Maxim Naumov

Efficient Parallel Merge Sort for Fixed and Variable Length Keys

Andrew Davidson, David Tarjan, Michael Garland, John Owens

Incomplete-LU and Cholesky Factorization in the Preconditioned Iterative Methods on the GPU

Maxim Naumov

Scalable GPU Graph Traversal

Duane Merrill, Michael Garland, Andrew Grimshaw

2011

Allocation-oriented Algorithm Design with Application to GPU Computing, Ph.D. Dissertation

Thrust: A Productivity-Oriented Library for CUDA

Nathan Bell, Jared Hoberock

High Performance and Scalable GPU Graph Traversal

Duane Merrill, Michael Garland, Andrew Grimshaw

Parallel Solution of Sparse Triangular Linear Systems in the Preconditioned Iterative Methods on the GPU

Maxim Naumov

2010

Sparse Matrix-Vector Multiplication on Multicore and Accelerators

Sam Williams, Nathan Bell, Jee Whan Choi, Michael Garland, Leonid Oliker, Richard Vuduc

Scalable Fluid Simulation using Anisotropic Turbulence Particles

Tobias Pfaff, Nils Thurey, Jonathan Cohen, Sarah Tariq, Markus Gross

Interactive Fluid-Particle Simulation using Translating Eulerian Grids

Jonathan Cohen, Sarah Tariq, Simon Green

2009

Implementing Sparse Matrix-Vector Multiplication on Throughput-Oriented Processors

Nathan Bell, Michael Garland

A Fast Double Precision CFD Code Using CUDA

Jonathan Cohen, M. Jeroen Molemaker