Gpu Runtime Systems
GPU Runtime Systems is a specialized runtime system that manages the execution of parallel tasks on graphics processing units, distinguished by its support for massive thread-level parallelism, hierarchical memory management, and hardware-specific optimizations tailored to GPU architectures.
364
Publications
17.3K
Citations
1.2K
Authors
345
Institutions
Publications per year
2017–2026
119
Parents
364
Ian Buck, Daniel Reiter Horn, Jeremy Sugerman et al. · ACM Transactions on Graphics · 2004 · 1.2K citations
Computer Graphics with Open GL
Hearn Baker · 2004 · 275 citations
TimeGraph: GPU scheduling for real-time multi-tasking environments
Shinpei Kato, Karthik Lakshmanan, Ragunathan Rajkumar et al. · 2011 · 260 citations
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345
Argonne National Laboratory
Lemont, United States
12 h-index
33 publications
1.2K citations

Oak Ridge National Laboratory
Oak Ridge, United States
12 h-index
40 publications
3.3K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
28 publications
2.2K citations
Georgia Institute of Technology
Atlanta, United States
10 h-index
33 publications
1.5K citations
The University of Texas at Austin
Austin, United States
10 h-index
20 publications
1.5K citations
The Ohio State University
Columbus, United States
9 h-index
26 publications
1.5K citations
North Carolina State University
Raleigh, United States
8 h-index
22 publications
844 citations
Nvidia (United Kingdom)
Reading, United Kingdom
8 h-index
15 publications
976 citations
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TPDS · 11 publications · 835 citations
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9 publications · 298 citations
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8 publications · 1.1K citations
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6 publications · 105 citations
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TACO · 6 publications · 128 citations
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