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Application-Aware Power Management

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5 Author(s)
Rajamani, K. ; IBM Austin Res. Lab, Texas Univ., Austin, TX ; Hanson, H. ; Rubio, J. ; Ghiasi, S.
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This paper presents our approach for application-aware power management. We combine continuous monitoring of critical workload indicators, online power and performance model usage and timely p-state control to realize application-aware power management. We present two new power management solutions enabled by our methodology: PerformanceMaximizer (PM) finds the best possible performance under specified power constraints and PowerSave (PS) saves energy while keeping performance above specified requirements. We evaluate both using the SPEC-CPU2000 suite on a Pentium M platform discussing implications of workload characteristics and benefits of being workload-aware

Published in:

Workload Characterization, 2006 IEEE International Symposium on

Date of Conference:

25-27 Oct. 2006

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