Energy Introspector: A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures

William J. Song, Saibal Mukhopadhyay, Sudhakar Yalamanchili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Sustaining processor performance growth is challenged by physical limitations due to increased power and heat dissipations. Power and thermal management techniques combined with inherent workload dynamics create the spatiotemporal variations of power, temperature, and degradation in processors. As industry moves to smaller feature sizes, the performance will become increasingly dominated by the physics. The challenge is in understanding how the physics is manifested at the microarchitecture level. This requires the modeling and simulation environment that can capture multiple, distinct physical phenomena and their concurrent impact on the microarchitecture.

Original languageEnglish
Title of host publicationISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software
PublisherIEEE Computer Society
Pages143-144
Number of pages2
ISBN (Print)9781479936052
DOIs
Publication statusPublished - 2014 Jan 1
Event2014 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2014 - Monterey, CA, United States
Duration: 2014 Mar 232014 Mar 25

Publication series

NameISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software

Other

Other2014 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2014
CountryUnited States
CityMonterey, CA
Period14/3/2314/3/25

Fingerprint

Physics
Heat losses
Temperature control
Energy dissipation
Degradation
Industry
Temperature
Hot Temperature
Power management

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Song, W. J., Mukhopadhyay, S., & Yalamanchili, S. (2014). Energy Introspector: A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. In ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software (pp. 143-144). [6844476] (ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software). IEEE Computer Society. https://doi.org/10.1109/ISPASS.2014.6844476
Song, William J. ; Mukhopadhyay, Saibal ; Yalamanchili, Sudhakar. / Energy Introspector : A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software. IEEE Computer Society, 2014. pp. 143-144 (ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software).
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Song, WJ, Mukhopadhyay, S & Yalamanchili, S 2014, Energy Introspector: A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. in ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software., 6844476, ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software, IEEE Computer Society, pp. 143-144, 2014 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2014, Monterey, CA, United States, 14/3/23. https://doi.org/10.1109/ISPASS.2014.6844476

Energy Introspector : A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. / Song, William J.; Mukhopadhyay, Saibal; Yalamanchili, Sudhakar.

ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software. IEEE Computer Society, 2014. p. 143-144 6844476 (ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Song WJ, Mukhopadhyay S, Yalamanchili S. Energy Introspector: A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. In ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software. IEEE Computer Society. 2014. p. 143-144. 6844476. (ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software). https://doi.org/10.1109/ISPASS.2014.6844476