ACM Transactions on Programming Languages and Systems (TOPLAS)
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Thousand core chips: a technology perspective
Proceedings of the 44th annual Design Automation Conference
Enhanced leakage reduction techniques using intermediate strength power gating
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Chameleon: Application-Level Power Management
IEEE Transactions on Mobile Computing
Multi-optimization power management for chip multiprocessors
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Intel threading building blocks
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Proceedings of the 46th Annual Design Automation Conference
Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture
Moldable parallel job scheduling using job efficiency: an iterative approach
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Distributed peak power management for many-core architectures
Proceedings of the Conference on Design, Automation and Test in Europe
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ACM Transactions on Computer Systems (TOCS)
Scalable power control for many-core architectures running multi-threaded applications
Proceedings of the 38th annual international symposium on Computer architecture
A case for guarded power gating for multi-core processors
HPCA '11 Proceedings of the 2011 IEEE 17th International Symposium on High Performance Computer Architecture
ACM SIGARCH Computer Architecture News
DistRM: distributed resource management for on-chip many-core systems
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Benchmarking modern multiprocessors
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Metronome: operating system level performance management via self-adaptive computing
Proceedings of the 49th Annual Design Automation Conference
Adaptive power management of on-chip video memory for multiview video coding
Proceedings of the 49th Annual Design Automation Conference
Agent-based distributed power management for kilo-core processors
Proceedings of the International Conference on Computer-Aided Design
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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 [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-Delay 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.