Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Power: A First Class Design Constraint for Future Architecture and Automation
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Single-ISA Heterogeneous Multi-Core Architectures: The Potential for Processor Power Reduction
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
The Impact of Performance Asymmetry in Emerging Multicore Architectures
Proceedings of the 32nd annual international symposium on Computer Architecture
Proceedings of the 39th Annual IEEE/ACM International Symposium on Microarchitecture
Power and reliability management of SoCs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
The PARSEC benchmark suite: characterization and architectural implications
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
Thread motion: fine-grained power management for multi-core systems
Proceedings of the 36th annual international symposium on Computer architecture
Efficient program scheduling for heterogeneous multi-core processors
Proceedings of the 46th Annual Design Automation Conference
Expressive power-based resource allocation for data centers
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
SD-VBS: The San Diego Vision Benchmark Suite
IISWC '09 Proceedings of the 2009 IEEE International Symposium on Workload Characterization (IISWC)
TAPE: thermal-aware agent-based power economy for multi/many-core architectures
Proceedings of the 2009 International Conference on Computer-Aided Design
Application heartbeats for software performance and health
Proceedings of the 15th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Bias scheduling in heterogeneous multi-core architectures
Proceedings of the 5th European conference on Computer systems
Scalable thread scheduling and global power management for heterogeneous many-core architectures
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Energy management in mobile devices with the cinder operating system
Proceedings of the sixth conference on Computer systems
Scalable power control for many-core architectures running multi-threaded applications
Proceedings of the 38th annual international symposium on Computer architecture
Economic learning for thermal-aware power budgeting in many-core architectures
CODES+ISSS '11 Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Adaptive Power Control with Online Model Estimation for Chip Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
Pack & Cap: adaptive DVFS and thread packing under power caps
Proceedings of the 44th Annual IEEE/ACM International Symposium on Microarchitecture
Scheduling heterogeneous multi-cores through Performance Impact Estimation (PIE)
Proceedings of the 39th Annual International Symposium on Computer Architecture
Hierarchical power management for asymmetric multi-core in dark silicon era
Proceedings of the 50th Annual Design Automation Conference
A multi-agent framework for thermal aware task migration in many-core systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Navigating heterogeneous processors with market mechanisms
HPCA '13 Proceedings of the 2013 IEEE 19th International Symposium on High Performance Computer Architecture (HPCA)
Power-performance modeling on asymmetric multi-cores
Proceedings of the 2013 International Conference on Compilers, Architectures and Synthesis for Embedded Systems
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Heterogeneous multi-cores that integrate cores with different power performance characteristics are promising alternatives to homogeneous systems in energy- and thermally constrained environments. However, the heterogeneity imposes significant challenges to power-aware scheduling. We present a price theory-based dynamic power management framework for heterogeneous multi-cores that co-ordinates various energy savings opportunities, such as dynamic voltage/frequency scaling, load balancing, and task migration in tandem, to achieve the best power-performance characteristics. Unlike existing centralized power management frameworks, ours is distributed and hence scalable with minimal runtime overhead. We design and implement the framework within Linux operating system on ARM big.LITTLE heterogeneous multi-core platform. Experimentalevaluation confirms the advantages of our approach compared to the state-of-the-art techniques for power management in heterogeneous multi-cores.