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Self-adaptive hybrid Dynamic Power Management for many-core systems

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3 Author(s)
Shafique, Muhammad ; Embedded Systems (CES), Karlsruhe Institute of Technology (KIT), Germany ; Vogel, Benjamin ; Henkel, Jorg

We present a self-adaptive, hybrid Dynamic Power Management (DPM) scheme for many-core systems that targets concurrently executing applications with what we call “expanding” and “shrinking” resource allocations as, for example, in [13]–[15] [27]. To avoid frequent allocation and de-allocation, it enables applications to temporarily reserve their resources and to perform local power management decisions. The expand-to-shrink time periods and resource demands are predicted on-the-fly based on the application-specific knowledge and the monitored system information. Experimental results demonstrate up to 15%-40% Energy-Delay2 Product reduction of our scheme compared to state-of-the-art power management schemes like [4][8]. Self-adaptive local power-management decisions make our scheme scalable for large-scaled many-core systems as illustrated by numerous experiments.

Published in:

Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013

Date of Conference:

18-22 March 2013