講演抄録/キーワード |
講演名 |
2018-08-01 16:15
Adaptation of Ray, a distributed framework for machine learning, to MPI-based environment ○Tianlun Wang(Univ. of Tsukuba)・Yusuke Tanimura・Hidemoto Nakada(AIST) CPSY2018-28 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
Ray is a distributed framework for machine learning that targets reinforcement learning using multiple nodes. While it works well on loosely coupled nodes, it does not take into account the “high-performance computing environment” based on MPI. We modified Ray so that, 1) it works well with the MPI launch mechanism, and 2) it use MPI communication for large data transfer. We evaluated the modified version of Ray on a cluster and confirmed the preliminary performance. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Ray / MPI / Machine Learning / high-performance computing environment / / / / |
文献情報 |
信学技報, vol. 118, no. 165, CPSY2018-28, pp. 205-210, 2018年7月. |
資料番号 |
CPSY2018-28 |
発行日 |
2018-07-23 (CPSY) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
CPSY2018-28 |
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