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CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
Abstract
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.
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Cited by
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications
Ge, R., Feng, X., Song, S., Chang, H.-C., Li, D., & Cameron, K. W. (2010) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2009.76 · Cited by 382
Self-citationWorkload-Aware Runtime Energy Management for HPC Systems
Reddy Basireddy, K., Wachter, E. W., Al-Hashimi, B. M., & Merrett, G. (2018) · 2018 International Conference on High Performance Computing & Simulation (HPCS) · doi:10.1109/hpcs.2018.00057 · Cited by 13
Metadata
- Authors
- Ge, R., Feng, X., Feng, W.-C., & Cameron, K. W.
- Venue
- 2007 International Conference on Parallel Processing (ICPP 2007)
- Publisher
- IEEE
- Published
- 2007-09
- Pages
- 18-18
- ISSN
- 0190-3918 (ISSN-L)
- OpenAlex
- W2160804075
- Cited by
- 238
- References
- 0
- FWCI
- 6.28
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ge, R., Feng, X., Feng, W.-C., & Cameron, K. W. (2007). CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters. 2007 International Conference on Parallel Processing (ICPP 2007). https://doi.org/10.1109/icpp.2007.29
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