Publications | Research

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Programming Languages, Systems and Tools

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2023

Legate Sparse: Distributed Sparse Computing in Python

Rohan Yadav, Wonchan Lee, Melih Elibol, Taylor Patti, Manolis Papadakis, Michael Garland, Alex Aiken, Fredrik Kjolstad, Michael Bauer

cuCatch: A Debugging Tool for Efficiently Catching Memory Safety Violations in CUDA Applications

Mohamed Tarek Ibn Ziad, Sana Damani, Aamer Jaleel, Stephen W. Keckler, Mark Stephenson

PLDI

Visibility Algorithms for Dynamic Dependence Analysis and Distributed Coherence

Michael Bauer, Elliott Slaughter, Sean Treichler, Wonchan Lee, Michael Garland, Alex Aiken

Parsimony: Enabling SIMD/Vector Programming in Standard Compiler Flows

Vijay Kandiah, Daniel Lustig, Oreste Villa, David Nellans, Nikos Hardavellas

2020

Locality-Centric Data and Threadblock Management for Massive GPUs

Mahmoud Khairy, Vadim Nikiforov, David Nellans, Timothy G. Rogers

A Programmable Approach to Neural Network Compression

Vinu Joseph, Ganesh L. Gopalakrishnan, Saurav Muralidharan, Michael Garland, Animesh Garg

Zeroploit: Exploiting Zero Valued Operands in Interactive Gaming Applications

Ram Rangan, Mark Stephenson, Aditya Ukarande, Shyam Murthy, Virat Agarwal, Marc Blackstein

There’s Plenty of Room at the Top: What Will Drive Computer Performance after Moore’s Law?

Charles E. Leiserson, Neil C. Thompson, Joel Emer, Bradley C. Kuszmaul, Butler W. Lampson, Daniel Sanchez , Tao B. Schardl

Speculative Reconvergence for Improved SIMT Efficiency

Sana Damani, Daniel Johnson, Mark Stephenson, Eddie Yan, Olivier Giroux, Michael McKeown, Steve Keckler