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

2019

Legate NumPy: Accelerated and Distributed Array Computing
Michael Bauer, Michael Garland
NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs
Oreste Villa, Mark Stephenson, David Nellans, Steve Keckler
Task Bench: A Parameterized Benchmark for Evaluating Parallel Runtime Performance
Elliott Slaughter, Wei Wu, Yuankun Fu, Legend Brandenburg, Nicolai Garcia, Wilhem Kautz, Emily Marx, Kaleb S. Morris, Qinglei Cao, George Bosilca, Seema Mirchandaney, Wonchan Lee, Sean Treichler, Patrick McCormick, Alex Aiken
Timeloop: A Systematic Approach to DNN Accelerator Evaluation
Angshuman Parashar, Priyanka Raina, Yakun Sophia Shao, Yu-Hsin Chen, Victor A. Ying, Anurag Mukkara, Rangharajan Venkatesan, Brucek Khailany, Steve Keckler, Joel Emer
Throughput-oriented GPU memory allocation
Isaac Gelado, Michael Garland