Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications
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| Publicado en: | arXiv.org (Nov 9, 2018), p. n/a |
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| Autor principal: | |
| Otros Autores: | , , , |
| Publicado: |
Cornell University Library, arXiv.org
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full text outside of ProQuest |
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|---|---|---|---|
| 001 | 2133085014 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 2133085014 | ||
| 045 | 0 | |b d20181109 | |
| 100 | 1 | |a Yamato, Yoji | |
| 245 | 1 | |a Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications | |
| 260 | |b Cornell University Library, arXiv.org |c Nov 9, 2018 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a For Open IoT, we have proposed Tacit Computing technology to discover the devices that have data users need on demand and use them dynamically and an automatic GPU offloading technology as an elementary technology of Tacit Computing. However, it can improve limited applications because it only optimizes parallelizable loop statements extraction. Thus, in this paper, to improve performances of more applications automatically, we propose an improved method with reduction of data transfer between CPU and GPU. We evaluate our proposed offloading method by applying it to Darknet and find that it can process it 3 times as quickly as only using CPU. | |
| 653 | |a Parallel processing | ||
| 653 | |a Data transfer (computers) | ||
| 653 | |a Performance enhancement | ||
| 653 | |a Computation | ||
| 653 | |a Reduction | ||
| 653 | |a Graphics processing units | ||
| 653 | |a Electronic devices | ||
| 653 | |a Central processing units--CPUs | ||
| 700 | 1 | |a Noguchi, Hirofumi | |
| 700 | 1 | |a Kataoka, Misao | |
| 700 | 1 | |a Isoda, Takuma | |
| 700 | 1 | |a Demizu, Tatsuya | |
| 773 | 0 | |t arXiv.org |g (Nov 9, 2018), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2133085014/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/1811.03882 |