论文标题
研究用于自动应用程序卸载的资源数量配置
Study of Resource Amount Configuration for Automatic Application Offloading
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，尽管迄今为止已经研究了根据迁移目标环境的代码转换，但尚未进行正确设置资源金额的研究。在本文中，作为环境自适应软件的新元素，为了以高成本性能运行应用程序，我研究了一种优化CPU和卸载设备的资源量的方法。
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, although the conversion of the code according to the migration destination environment has been studied so far, there has been no research to properly set the resource amount. In this paper, as a new element of environment adaptive software, in order to operate the application with high cost performance, I study a method to optimize the resource amount of CPUs and offload devices.
