Self-adaptive hybrid dynamic power management for many-core systems

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-theart power management schemes like [4][8]. Self-adaptive local power-management decisions make our scheme scalable for largescaled many-core systems as illustrated by numerous experiments.