Skip to content Skip to footer

Research Portal of the TU Dresden

Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC

Research output: Contribution to conferences › Paper › Contributed › peer-review

Contributors

Andreas Gocht - , Chair of Computer Architecture, Center for Information Services and High Performance Computing (ZIH) (Author)
Mario Bielert - , Center for Information Services and High Performance Computing (ZIH) (Author)
Robert Schöne - , Chair of Computer Architecture, Center for Information Services and High Performance Computing (ZIH) (Author)

Details

Original language	English
Pages	852-859
Number of pages	8
Publication status	Published - 2019
Peer-reviewed	Yes

External IDs

Scopus	85092029470
ORCID	/0009-0003-0666-4166/work/151475576

Keywords

Research priority areas of TU Dresden

Information Technology and Microelectronics

Sustainable Development Goals

SDG 7 - Affordable and Clean Energy

Keywords

energy efficiency, high performance computing, Q-Learning, Reinforcement Learning