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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 – . 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 . Self-adaptive local power-management decisions make our scheme scalable for large-scaled many-core systems as illustrated by numerous experiments.