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Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications

Sparad:
I publikationen:arXiv.org (Nov 9, 2018), p. n/a
Huvudupphov: Yamato, Yoji
Övriga upphov: Noguchi, Hirofumi, Kataoka, Misao, Isoda, Takuma, Demizu, Tatsuya
Utgiven:
Cornell University Library, arXiv.org
Ämnen:
Parallel processing
Data transfer (computers)
Performance enhancement
Computation
Reduction
Graphics processing units
Electronic devices
Central processing units > CPUs
Länkar:Citation/Abstract
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Abstrakt: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.
ISSN:2331-8422
Källa:Engineering Database