Utilization and Expansion of ppOpen-AT for OpenACC
Satoshi Ohshima, Takahiro Katagiri, Masaharu Matsumoto · 2016
For application programmers, reducing efforts for optimizing programs is an important issue. Our solution of this issue is an auto-tuning (AT) technique. We are developing an AT language named ppOpen-AT. We have shown that this language is useful for multi-and many-core parallel programming. Today, OpenACC attracts attention as an easy and useful graphics processing unit (GPU) programming environment. While OpenACC is one possible parallel programming environment, users have to spend time and energy in order to optimize OpenACC programs. In this study, we investigate the usability of ppOpen-AT for OpenACC programs and propose to expand ppOpen-AT for further optimization of OpenACC.