GPU Kernel Offloading is a computational offloading technique that involves the transfer and execution of kernel-level processing tasks from a central processing unit (CPU) to a graphics processing unit (GPU) to exploit the GPU's parallel processing capabilities for improved performance and efficiency.
12
Publications
305
Citations
31
Authors
8
Institutions
Publications per year
2017–2026
4
Parents
Publications
12
Improvement Proposal of Automatic GPU Offloading Technology
Yoji Yamato · 2020 · 21 citations
Dynamic Sharing of GPUs in Cloud Systems
Khaled Diab, M. Mustafa Rafique, Mohamed Hefeeda · 2013 · 19 citations
1–5 of 12
Authors
31
- YY
4
h-index
- JM
2
h-index
- VV
2
h-index
- KK
2
h-index
- VM
2
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1–5 of 31
Institutions
8
NTT (Japan)
Tokyo, Japan
4 h-index
4 publications
71 citations
Argonne National Laboratory
Lemont, United States
2 h-index
8 publications
124 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
30 citations
Qatar Airways (Qatar)
Doha, Qatar
1 h-index
3 publications
57 citations
University of California, Berkeley
Berkeley, United States
1 h-index
6 publications
108 citations
Princeton University
Princeton, United States
1 h-index
2 publications
218 citations
Qatar Foundation
Doha, Qatar
1 h-index
3 publications
57 citations
IBM (Canada)
Markham, Canada
1 h-index
10 publications
160 citations
1–8 of 8
Venues
- International Journal of Parallel Emergent and Distributed Systems
IJPEDS · 2 publications · 30 citations
2
h-index
- 2012 International Conference for High Performance Computing, Networking, Storage and Analysis
Conference · 1 publications · 17 citations
1
h-index
- Journal of Intelligent Information Systems
1 publications · 20 citations
1
h-index
1–3