Gpu Scatter Operations
GPU Scatter Operations is a computational method in parallel computing that enables the efficient distribution of data elements from a global memory space to designated locations in a GPU's memory hierarchy during scatter operations, distinguished by its optimization for the massively parallel architecture of graphics processing units.
8
Publications
422
Citations
30
Authors
14
Institutions
Publications per year
2017–2026
1
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8
Efficient gather and scatter operations on graphics processors
Bingsheng He, Naga K. Govindaraju, Qiong Luo et al. · 2007 · 128 citations
On dynamic load balancing on graphics processors
Daniel Cederman, Philippas Tsigas · 2008 · 91 citations
Dipanjan Sengupta, Shuaiwen Leon Song, Kapil Agarwal et al. · 2015 · 88 citations
GPU accelerated image aligned splatting
Neophytos Neophytou, Klaus Mueller · 2005 · 34 citations
1–5 of 8
30
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Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 128 citations
1
h-index
1 publications · 20 citations
1
h-index
1–5 of 30
14
Chalmers University of Technology
Gothenburg, Sweden
2 h-index
4 publications
238 citations
University of California, Riverside
Riverside, United States
1 h-index
4 publications
68 citations

Pacific Northwest National Laboratory
Richland, United States
1 h-index
1 publications
88 citations
Georgia Institute of Technology
Atlanta, United States
1 h-index
3 publications
264 citations

Stevens Institute of Technology
Hoboken, United States
1 h-index
1 publications
17 citations
Microsoft (United States)
Redmond, United States
1 h-index
2 publications
256 citations
Microsoft (Finland)
Espoo, Finland
1 h-index
2 publications
256 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
2 publications
256 citations
1–8 of 14
1 publications · 16 citations
1
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1 publications · 28 citations
1
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Repository · 1 publications · 20 citations
1
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