2021 Volume 76 Issue 12 Pages 766-772
There are several methods of using an accelerator to perform scientific computing at high speed. In this article, I introduce a method using GPU. GPU is processor dedicated to image processing, but with the advent of CUDA, they are increasingly being applied to scientific computing. Also, the trend in supercomputer is GPU-equipped machines, which are increasing every year. Some programming models for using GPU will be introduced, and some examples will also be given. Finally, I will also touch on an example of using machine learning, a recent trend, and a quantum computer simulator for future GPU computing.