论文标题
在混合卸载目的地环境中自动卸载方法的研究
Study of Automatic Offloading Method in Mixed Offloading Destination Environment
论文作者
论文摘要
近年来，除了小型核心CPU（例如GPU，FPGA或许多核心CPU）以外的异质硬件的利用正在增加。但是，当使用异质硬件时，诸如OpenMP，Cuda和OpenCL之类的技术技能障碍很高。基于此，我提出了根据要放置的硬件的自动转换，配置和高性能操作的自动转换，配置和高性能操作。但是，包括现有技术在内，尚无研究来正确和自动卸载混合卸载目的地环境，例如GPU，FPGA和许多核心CPU。在本文中，作为环境自适应软件的新元素，我研究了一种在与GPU，FPGA和许多Core CPU混合的环境中正确卸载应用程序的方法。我评估了所提出的方法在多个应用中的有效性。
In recent years, utilization of heterogeneous hardware other than small core CPU such as GPU, FPGA or many core CPU is increasing. However, 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, and high performance operation of once written code, according to the hardware to be placed. 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. I evaluate the effectiveness of the proposed method in multiple applications.
