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Runtime power monitoring in high-end processors: methodology and empirical data
Abstract
With power dissipation becoming an increasingly vexing problem across many classes of computer systems, measuring power dissipation of real, running systems has become crucial for hardware and software system research and design. Live power measurements are imperative for studies requiring execution times too long for simulation, such as thermal analysis. Furthermore, as processors become more complex and include a host of aggressive dynamic power management techniques, per-component estimates of power dissipation have become both more challenging as well as more important. In this paper we describe our technique for a coordinated measurement approach that combines real total power measurement with performance-counter-based, per-unit power estimation. The resulting tool offers live total power measurements for Intel Pentium 4 processors, and also provides power breakdowns for 22 of the major CPU subunits over minutes of SPEC2000 and desktop workload execution. As an example application, we use the generated component power breakdowns to identify program power phase behaviour. Overall, this paper demonstrates a processor power measurement and estimation methodology and also gives experiences and empirical application results that can provide a basis for future power-aware research.
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Cited by
Data Center Energy Consumption Modeling: A Survey
Dayarathna, M., Wen, Y., & Fan, R. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2481183 · Cited by 1,165
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
Metadata
- Authors
- Isci, C., & Martonosi, M.
- Venue
- 22nd Digital Avionics Systems Conference. Proceedings (Cat. No.03CH37449)
- Publisher
- IEEE Comput. Soc
- Published
- 2003-01-01
- Pages
- 93-104
- ISSN
- 1072-4451 (ISSN-L)
- OpenAlex
- W4244593655
- Cited by
- 297
- References
- 0
- FWCI
- 5.26
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Isci, C., & Martonosi, M. (2004). Runtime power monitoring in high-end processors: methodology and empirical data. 22nd Digital Avionics Systems Conference. Proceedings (Cat. No.03CH37449). https://doi.org/10.1109/micro.2003.1253186
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