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A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCL
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Different amount of work-divisions to CPU and GPU can lead to vastly different performance.
“Due to this, different amount of work-divisions to CPU and GPU can lead to vastly different performance [Grewe and O'Boyle 2011].”
From A Survey of CPU-GPU Heterogeneous Computing Techniques (2015) · cites this paper as Grewe and O'Boyle 2011
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Research works printed but not linked: 21
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Cited by
Sorted by citations
A Survey of CPU-GPU Heterogeneous Computing Techniques
Mittal, S., & Vetter, J. S. (2015) · ACM Computing Surveys · doi:10.1145/2788396 · Cited by 568
Metadata
- Authors
- Grewe, D., & O’Boyle, M. F. P.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 286-305
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 109
- References
- 0
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