Data-Parallel Offloading is a kernel offloading strategy that belongs to the class of parallel computing techniques, distinguished by its distribution of uniform computational tasks across multiple processing units to accelerate data-intensive operations through simultaneous execution on partitioned datasets.
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Publications
90
Citations
14
Authors
6
Institutions
Publications per year
2017–2026
1
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Publications
3
Krishna Kandalla, Hari Subramoni, Karen Tomko et al. · Computer Science - Research and Development · 2011 · 51 citations
Automatic Offloading C++ Expression Templates to CUDA Enabled GPUs
Jie Chen, Bálint Joó, William A. Watson et al. · 2012 · 23 citations
Deadline-Aware Offloading for High-Throughput Accelerators
Tsung Tai Yeh, Matthew D. Sinclair, Bradford M. Beckmann et al. · 2021 · 16 citations
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Authors
14
- MDMatthew D. Sinclair
University of Illinois Urbana-Champaign, United States
1 publications · 16 citations
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- JC
1
h-index
- BJBálint Joó
Thomas Jefferson National Accelerator Facility, United States
1 publications · 23 citations
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- TG
1
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- RGRobert G. Edwards
Thomas Jefferson National Accelerator Facility, United States
1 publications · 23 citations
1
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Institutions
6
The Ohio State University
Columbus, United States
1 h-index
4 publications
204 citations
National Yang Ming Chiao Tung University
Hsinchu, Taiwan
1 h-index
1 publications
16 citations
Thomas Jefferson National Accelerator Facility
Newport News, United States
1 h-index
4 publications
92 citations
San Diego Supercomputer Center
San Diego, United States
1 h-index
1 publications
51 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
32 citations
Ohio Supercomputer Center
Columbus, United States
1 h-index
1 publications
51 citations
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Venues
- Computer Science - Research and Development
CSRD · 1 publications · 51 citations
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