Proposal of Automatic GPU Offloading Method from Various Language Applications

Abstract

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.