Proceedings of the 6th international workshop on Hardware/software codesign
Task scheduling and voltage selection for energy minimization
Proceedings of the 39th annual Design Automation Conference
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
What is the limit of energy saving by dynamic voltage scaling?
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
IEEE Transactions on Parallel and Distributed Systems
Energy Aware Scheduling for Distributed Real-Time Systems
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
ACM Transactions on Embedded Computing Systems (TECS)
Power-Aware Bus Coscheduling for Periodic Realtime Applications Running on Multiprocessor SoC
Transactions on High-Performance Embedded Architectures and Compilers II
Optimizing throughput and latency under given power budget for network packet processing
INFOCOM'10 Proceedings of the 29th conference on Information communications
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Recently, a static power management with parallelism (P-SPM) technique has been proposed to reduce the energy consumption of distributed systems to execute a set of real-time dependent tasks [7]. The authors claimed that the proposed P-SPM outperforms other known methods in energy reduction. However, how to take advantage of the local static slack for further energy optimization remains as an open problem.In this paper, we propose the static power management with proportional distribution and parallelism scheme (PDP-SPM) that not only answers this open problem, but also exploits the parallelism. Simulations on task graphs derived for DSP applications and TGFF benchmark suite suggest that PDP-SPM achieves 64% energy saving over the system without power management, and 15% over the P-SPM scheme.