Enhanced Phase-Driven $Q$ -Learning-Based DRM for Multicore Processors
Author(s) -
Zhiyuan Yang,
Caleb Serafy,
Tiantao Lu,
Ankur Srivastava
Publication year - 2018
Publication title -
ieee transactions on computer-aided design of integrated circuits and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 119
eISSN - 1937-4151
pISSN - 0278-0070
DOI - 10.1109/tcad.2018.2877014
Subject(s) - multi core processor , computer science , phase (matter) , parallel computing , computer architecture , physics , quantum mechanics
In this paper, we propose a new dynamic reliability management technique for multicore processors using phase-driven Q-learning-based method. Our technique considers a wide range of long-term reliability issues and maximizes the throughput of the processor subject to the reliability constraint. We employ ON/OFF switching actions and dynamic voltage and frequency scaling as control knobs (i.e., wor...
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