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POSTER: Performance modeling for GPUs using abstract kernel emulation
- Hong, C.;
- Sukumaran-Rajam, A.;
- Kim, J.;
- Rawat, P.S.;
- Krishnamoorthy, S.;
- 외 3명
Citations
SCOPUS
1초록
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).
- 제목
- POSTER: Performance modeling for GPUs using abstract kernel emulation
- 저자
- Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Rawat, P.S.; Krishnamoorthy, S.; Pouchet, L.-N.; Rastello, F.; Sadayappan, P.
- 발행일
- 2018-02
- 유형
- Conference Paper
- 저널명
- Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP
- 페이지
- 397 ~ 398
- 언어
- ENG
- 출판사
- Association for Computing Machinery
- 분량
- 2 페이지