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.

中文翻译：

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自动应用程序分载的资源量配置研究

近年来，除了小型核心CPU（例如GPU，FPGA或许多核心CPU）以外，异构硬件的利用率也在提高。但是，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，我提出了一种环境适应性软件，根据要放置的硬件，该软件可以实现一次编写代码的自动转换，配置和高性能操作。然而，尽管到目前为止已经研究了根据迁移目的地环境的代码转换，但是还没有研究适当地设置资源量。在本文中，作为环境自适应软件的新元素，为了使应用程序具有较高的性价比，我研究了一种优化CPU和卸载设备的资源量的方法。