Memory Coalescing
Memory Coalescing is a memory access optimization technique in GPU computing, wherein consecutive threads in a warp access adjacent memory locations, enabling the aggregation of multiple memory requests into fewer transactions by exploiting spatial locality and thereby increasing memory bandwidth utilization.
37
Publications
1.2K
Citations
130
Authors
64
Institutions
Publications per year
2017–2026
12
37
Jack W. Davidson, Sanjay Jinturkar · 1994 · 89 citations
Analyzing soft-error vulnerability on GPGPU microarchitecture
Jingweijia Tan, Nilanjan Goswami, Tao Li et al. · 2011 · 83 citations
Network Motif Discovery: A GPU Approach
Wenqing Lin, Xiaokui Xiao, Xing Xie et al. · IEEE Transactions on Knowledge and Data Engineering · 2016 · 58 citations · Full text
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University of Michigan
Ann Arbor, United States
2 h-index
12 publications
407 citations
The Ohio State University
Columbus, United States
2 h-index
4 publications
116 citations

École Normale Supérieure de Lyon
Lyon, France
2 h-index
2 publications
38 citations
Agency for Science, Technology and Research
Singapore, Singapore
2 h-index
4 publications
152 citations
Tsinghua University
Beijing, China
2 h-index
5 publications
62 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
2 publications
76 citations
University of Virginia
Charlottesville, United States
2 h-index
4 publications
206 citations
Microsoft Research Asia (China)
Beijing, China
2 h-index
2 publications
76 citations
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SACJ · 1 publications · 20 citations
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1 publications · 13 citations
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1 publications · 14 citations
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TACO · 1 publications · 12 citations
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1 publications · 15 citations
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