Publications | Research

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High Performance Computing

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2022

Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications

Bo Fang, Siva Hari, Timothy Tsai, Xinyi Li, Ganesh Gopalakrishnan, Ignacio Laguna, Kevin Barker, Ang Li

Variable Bitrate Neural Fields

Towaki Takikawa, Alex Evans, Jonathan Tremblay, Thomas Müller, Morgan McGuire, Alec Jacobson, Sanja Fidler

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Thomas Müller, Alex Evans, Christoph Schied, Alex Keller

SIGGRAPH

Best Technical Paper, SIGGRAPH 2022
THE BEST INVENTIONS OF 2022, TIME

Ray/Ribbon Intersections

Alexander Reshetov

GATSPI: GPU Accelerated Gate-Level Simulation for Power Improvement

Yanqing Zhang, Haoxing (Mark) Ren, Akshay Sridharan, Brucek Khailany

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