Evaluation of GPU Logic Reconfiguration after Service Start

Abstract

In order to make full use of heterogeneous hardware, it is necessary to have a technical skill of hardware such as CUDA, and the current situation is that the barrier is high. Based on this background, I have proposed environment-adaptive software that enables high-performance operation by automatically converting application code written for normal CPUs by engineers according to the deployed environment and setting appropriate amount of resources. Until now, I only considered conversions and settings before operation. In this paper, I verify that the logic is reconfigured according to the usage characteristics during operation. I confirm that the application running on the GPU is reconfigured into other loops or applications offloading according to the usage trends.

The 11th International Conference on Information and Education Technology (ICIET 2023), Mar. 2023.