- 著者
-
稲富 雄一
井上 弘士
- 出版者
- 日本コンピュータ化学会
- 雑誌
- Journal of Computer Chemistry, Japan (ISSN:13471767)
- 巻号頁・発行日
- vol.14, no.6, pp.201-202, 2016 (Released:2016-01-31)
- 参考文献数
- 2
Power is the most important resource on the next-generation supercomputers, and they will be operated under power constraint. Therefore, there is a need to maximize performance of HPC application under power constraint. To do such optimization, we've developed and reported a method to improve performance by power allocation for each processor, which is called the variation-aware power budgeting. In this study, we carried out large-scale performance evaluation of a proposed method for two mini-applications related to molecular science, Modylas-mini and NTChem-mini. As a result, our method can improve their performance under power constraint up to 1.99 times speedup compared to conventional power constraint.