Proposal of Automatic GPU Offloading Method from Various Language Applications
Yoji Yamato · 2021
To use heterogeneous hardware such as GPU, programmers must have sufficient technical skills to utilize OpenMP, CUDA, and OpenCL. 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, the source language for offloading was mainly C/C++ language applications currently, and there was no research for common offloading for various language applications. In this paper, for a new element of environment-adaptive software, I study a common method for automatically offloading for various language applications not only in C language but also in Python.