Publications

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

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2021

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi, Angshuman Parashar, Po-An Tsai, Sivasankaran Rajamanickam, Roberto Gioiosa, Tushar Krishna
Cooperative Profile Guided Optimization
Mark Stephenson, Ram Rangan, Steve Keckler
Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers
Harini Muthukrishnan, David Nellans, Daniel Lustig, Jeffrey Fessler, Thomas Wenisch
PGZ: Automatic Zero-Value Code Specialization
Mark Stephenson, Ram Rangan
Scaling Implicit Parallelism via Dynamic Control Replication
Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo, Manolis Papadakis, Galen Shipman, Patrick McCormick, Michael Garland, Alex Aiken
Hardware Abstractions for Targeting EDDO Architectures with the Polyhedral Model
Angshuman Parashar, Prasanth Chatarasi, Po-An Tsai

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