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07/07/2023
CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs
Data compression and decompression have become vital components of big-d...
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01/09/2023
Stream-K: Work-centric Parallel Decomposition for Dense Matrix-Matrix Multiplication on the GPU
We introduce Stream-K, a work-centric parallelization of matrix multipli...
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08/31/2022
Efficient Sparsely Activated Transformers
Transformer-based neural networks have achieved state-of-the-art task pe...
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03/09/2022
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture
Graphics Processing Units (GPUs) have traditionally relied on the host C...
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11/06/2019
A Programmable Approach to Model Compression
Deep neural networks frequently contain far more weights, represented at...
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07/19/2019
GPU-Accelerated Atari Emulation for Reinforcement Learning
We designed and implemented a CUDA port of the Atari Learning Environmen...
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12/06/2017
