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POSTER: Performance modeling for GPUs using abstract kernel emulation
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hong, C. | - |
| dc.contributor.author | Sukumaran-Rajam, A. | - |
| dc.contributor.author | Kim, J. | - |
| dc.contributor.author | Rawat, P.S. | - |
| dc.contributor.author | Krishnamoorthy, S. | - |
| dc.contributor.author | Pouchet, L.-N. | - |
| dc.contributor.author | Rastello, F. | - |
| dc.contributor.author | Sadayappan, P. | - |
| dc.date.accessioned | 2023-03-08T15:55:16Z | - |
| dc.date.available | 2023-03-08T15:55:16Z | - |
| dc.date.issued | 2018-02 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/63904 | - |
| dc.description.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). | - |
| dc.format.extent | 2 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Association for Computing Machinery | - |
| dc.title | POSTER: Performance modeling for GPUs using abstract kernel emulation | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1145/3178487.3178524 | - |
| dc.identifier.bibliographicCitation | Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, pp 397 - 398 | - |
| dc.description.isOpenAccess | N | - |
| dc.identifier.scopusid | 2-s2.0-85044304218 | - |
| dc.citation.endPage | 398 | - |
| dc.citation.startPage | 397 | - |
| dc.citation.title | Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalRegisteredClass | scopus | - |
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