Shared Memory Optimization
Shared Memory Optimization is a computational strategy within GPU computing that enhances performance by minimizing data access latency through efficient allocation, organization, and synchronization of on-chip memory resources shared among parallel processing threads.
75
Publications
2.5K
Citations
228
Authors
97
Institutions
Publications per year
2017–2026
14
75
1–5 of 75
228
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h-index
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King Abdullah University of Science and Technology, Saudi Arabia
2 publications · 32 citations
2
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2
h-index
1–5 of 228
97
The Ohio State University
Columbus, United States
5 h-index
12 publications
274 citations

Pacific Northwest National Laboratory
Richland, United States
4 h-index
13 publications
178 citations
Tokyo Institute of Technology
Tokyo, Japan
4 h-index
7 publications
526 citations

King Abdullah University of Science and Technology
Jeddah, Saudi Arabia
3 h-index
4 publications
77 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
5 publications
901 citations
Princeton University
Princeton, United States
2 h-index
6 publications
118 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
5 publications
83 citations

National Institute of Informatics
Tokyo, Japan
2 h-index
2 publications
204 citations
1–8 of 97
TPDS · 4 publications · 80 citations
4
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Repository · 2 publications · 158 citations
2
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2 publications · 45 citations
2
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2 publications · 27 citations
2
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CIT · 1 publications · 12 citations
1
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