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POSTER: Performance modeling for GPUs using abstract kernel emulation
- Authors
- Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Rawat, P.S.; Krishnamoorthy, S.; Pouchet, L.-N.; Rastello, F.; Sadayappan, P.
- Issue Date
- Feb-2018
- Publisher
- Association for Computing Machinery
- Citation
- Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, pp 397 - 398
- Pages
- 2
- Journal Title
- Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP
- Start Page
- 397
- End Page
- 398
- Abstract
- Performance modeling of GPU kernels is a significant challenge. In this paper, we develop a novel approach to performance modeling for GPUs through abstract kernel emulation along with latency/gap modeling of resources. Experimental results on all benchmarks from the Rodinia suite demonstrate good accuracy in predicting execution time on multiple GPU platforms. © 2018 Copyright held by the owner/author(s).
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