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High Performance Computing

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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