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Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment
arXiv - CS - Distributed, Parallel, and Cluster Computing Pub Date : 2020-11-24 , DOI: arxiv-2011.12431
Yoji Yamato

When using heterogeneous hardware, barriers of technical skills such as OpenMP, CUDA and OpenCL are high. Based on that, I have proposed environment-adaptive software that enables automatic conversion, configuration. However, including existing technologies, there has been no research to properly and automatically offload the mixed offloading destination environment such as GPU, FPGA and many core CPU. In this paper, as a new element of environment-adaptive software, I study a method for offloading applications properly and automatically in the environment where the offloading destination is mixed with GPU, FPGA and many core CPU.

中文翻译:

混合卸货目的地环境中自动卸货方法的建议

当使用异构硬件时,诸如OpenMP,CUDA和OpenCL之类的技术技能壁垒很高。在此基础上,我提出了能够自动转换,配置的环境适应软件。但是,包括现有技术在内,还没有研究能够适当地自动卸载混合卸载目标环境,例如GPU,FPGA和许多核心CPU。在本文中,作为一种环境自适应软件的新元素,我研究了一种在卸载目标与GPU,FPGA和许多核心CPU混合在一起的环境中正确,自动卸载应用程序的方法。
更新日期:2020-11-27
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