Low power design in deep submicron electronics
Low power design in deep submicron electronics
The simulation and evaluation of dynamic voltage scaling algorithms
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Energy-driven integrated hardware-software optimizations using SimplePower
Proceedings of the 27th annual international symposium on Computer architecture
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Low Power Digital CMOS Design
Dynamic Power Management for Nonstationary Service Requests
IEEE Transactions on Computers
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
Using Queue Time Predictions for Processor Allocation
IPPS '97 Proceedings of the Job Scheduling Strategies for Parallel Processing
DRAM Energy Management Using Sof ware and Hardware Directed Power Mode Control
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
Application-directed voltage scaling
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - Special section on low power
A comprehensive model of the supercomputer workload
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
Memory energy characterization and optimization for the SPEC2000 benchmarks
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
On evaluating request-distribution schemes for saving energy in server clusters
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
The portable batch scheduler and the maui scheduler on linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
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HPC clusters are widely used to execute parallel tasks. With the increasing number of nodes and frequency of processors, they consume huge amount of energy. The heat generated by clusters also imposes very heavy load for cooling infrastructures. The utilization of some clusters is not always high, indicating that there is a huge space to conserve energy consumption with more intelligent energy management scheme. Although there has been some energy conservation schemes proposed for web clusters, they are not applicable to HPC clusters. In this paper we propose a dynamic energy conservation scheme for HPC clusters. The scheme is to turn some cluster nodes on and off dynamically according to the current and historical workload. The goal is to reduce the energy consumption of clusters with minimal performance loss. We evaluate our scheme by simulation and show that it can effectively conserve energy consumption.