GPU Compiler Optimization is a compiler optimization technique specialized for the constraints and parallel architectures of graphics processing units, enhancing code performance, resource utilization, and execution efficiency in GPU-accelerated computing environments.
94
Publications
6.2K
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354
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100
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2017–2026
34
Publications
94
Flux: Elegant machine learning with Julia
Mike Innes · The Journal of Open Source Software · 2018 · 367 citations · Full text
David Tarditi, Sidd Puri, Jose Oglesby · 2006 · 297 citations
1–5 of 94
Authors
354
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1–5 of 354
Institutions
100
Nvidia (United States)
Santa Clara, United States
7 h-index
22 publications
818 citations
IBM (United States)
Armonk, United States
5 h-index
36 publications
1.1K citations
University of Edinburgh
Edinburgh, United Kingdom
5 h-index
10 publications
522 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
12 publications
238 citations
Princeton University
Princeton, United States
4 h-index
17 publications
1.4K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
12 publications
1K citations
The University of Texas at Austin
Austin, United States
4 h-index
6 publications
262 citations
University of Copenhagen
Copenhagen, Denmark
4 h-index
13 publications
183 citations
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- ACM SIGPLAN Notices
7 publications · 281 citations
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- ACM Transactions on Architecture and Code Optimization
TACO · 5 publications · 456 citations
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- Concurrency and Computation Practice and Experience
2 publications · 28 citations
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- ACM SIGARCH Computer Architecture News
2 publications · 58 citations
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- Proceedings of the IEEE
1 publications · 58 citations
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