Sept. 10, 2007 to Sept. 14, 2007
Rong Ge , Virginia Tech, USA
Xizhou Feng , Virginia Tech, USA
Wu-chun Feng , Virginia Tech, USA
Kirk W. Cameron , Virginia Tech, USA
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPP.2007.29
Performance and power are critical design constraints in today?s high-end computing systems. Reducing power consumption without impacting system performance is a challenge for the HPC community. We present a runtime system (CPU MISER) and an integrated performance model for performance-directed, power-aware cluster computing. CPU MISER supports system-wide, application-independent, fine-grain, dynamic voltage and frequency scaling (DVFS) based power management for a generic power-aware cluster. Experimental results show that CPU MISER can achieve as much as 20% energy savings for the NAS parallel benchmarks. In addition to energy savings, CPU MISER is able to constrain performance loss for most applications within user-specified limits. These constraints are achieved through accurate performance modeling and prediction, coupled with advanced control techniques.
Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Cameron, "CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters", ICPP, 2007, 2013 42nd International Conference on Parallel Processing, 2013 42nd International Conference on Parallel Processing 2007, pp. 18, doi:10.1109/ICPP.2007.29