An overview of the BlueGene/L Supercomputer
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
High-density computing: a 240-processor Beowulf in one cubic meter
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Using multiple energy gears in MPI programs on a power-scalable cluster
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
A Power-Aware Run-Time System for High-Performance Computing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
MegaProto: 1 TFlops/10kW Rack Is Feasible Even with Only Commodity Technology
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Just In Time Dynamic Voltage Scaling: Exploiting Inter-Node Slack to Save Energy in MPI Programs
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Asynchronous control of modules activity in integrated systems for reducing peak temperatures
Integration, the VLSI Journal
Energy-Aware Scheduling of Flow Applications on Master-Worker Platforms
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
Energy aware scheduling on desktop grid environment with static performance prediction
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Predictive-flow-queue-based energy optimization for gigabit ethernet controllers
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Runtime Energy Adaptation with Low-Impact Instrumented Code in a Power-Scalable Cluster System
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Supervised learning based power management for multicore processors
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Some observations on optimal frequency selection in DVFS-based energy consumption minimization
Journal of Parallel and Distributed Computing
International Journal of High Performance Computing Applications
Auto-tuning for energy usage in scientific applications
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
Towards an energy-aware scientific I/O interface
Computer Science - Research and Development
Parallel job scheduling for power constrained HPC systems
Parallel Computing
An overview of energy efficiency techniques in cluster computing systems
Cluster Computing
Application-level voltage and frequency tuning of multi-phase program on the SCC
Proceedings of the 3rd International Workshop on Adaptive Self-Tuning Computing Systems
B-MAPS: a self-adaptive resource scheduling framework for heterogeneous cloud systems
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
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Currently, several of the high performance processors used in a PC cluster have a DVS (Dynamic Voltage Scaling) architecture that can dynamically scale processor voltage and frequency. Adaptive scheduling of the voltage and frequency enables us to reduce power dissipation without a performance slowdown during communication and memory access. In this paper, we propose a method of profiledbased power-performance optimization by DVS scheduling in a high-performance PC cluster. We divide the program execution into several regions and select the best gear for power efficiency. Selecting the best gear is not straightforward since the overhead of DVS transition is not free. We propose an optimization algorithm to select a gear using the execution and power profile by taking the transition overhead into account. We have built and designed a power-profiling system, PowerWatch. With this system we examined the effectiveness of our optimization algorithm on two types of power-scalable clusters (Crusoe and Turion). According to the results of benchmark tests, we achieved almost 40% reduction in terms of EDP (energy-delay product) without performance impact (less than 5%) compared to results using the standard clock frequency.