Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications
Abstract
Here, power measurement capabilities are becoming commonplace on large scale HPC system deployments. There exist several different approaches to providing power measurements that are used today, primarily in-band and out-of-band measurements. Both of these fundamental techniques can be augmented with application-level profiling and the combination of different techniques is also possible. However, it can be difficult to assess the type and detail of measurement needed to obtain insights and knowledge of the power profile of an application. In addition, the heterogeneity of modern hybrid supercomputing platforms requires that different CPU architectures must be examined as well.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1492363
- Report Number(s):
- SAND-2018-14001J
Journal ID: ISSN 2210-5379; 670864
- Grant/Contract Number:
- AC04-94AL85000
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Sustainable Computing
- Additional Journal Information:
- Journal Volume: 21; Journal Issue: C; Journal ID: ISSN 2210-5379
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; Supercomputing; HPC; Energy efficient computing; Mini applications; Cray; Power-aware software
Citation Formats
Younge, Andrew J., Grant, Ryan E., Laros, III, James H., Levenhagen, Michael, Olivier, Stephen L., Pedretti, Kevin, and Ward, Lee. Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications. United States: N. p., 2018.
Web. doi:10.1016/j.suscom.2018.11.005.
Younge, Andrew J., Grant, Ryan E., Laros, III, James H., Levenhagen, Michael, Olivier, Stephen L., Pedretti, Kevin, & Ward, Lee. Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications. United States. https://doi.org/10.1016/j.suscom.2018.11.005
Younge, Andrew J., Grant, Ryan E., Laros, III, James H., Levenhagen, Michael, Olivier, Stephen L., Pedretti, Kevin, and Ward, Lee. 2018.
"Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications". United States. https://doi.org/10.1016/j.suscom.2018.11.005. https://www.osti.gov/servlets/purl/1492363.
@article{osti_1492363,
title = {Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications},
author = {Younge, Andrew J. and Grant, Ryan E. and Laros, III, James H. and Levenhagen, Michael and Olivier, Stephen L. and Pedretti, Kevin and Ward, Lee},
abstractNote = {Here, power measurement capabilities are becoming commonplace on large scale HPC system deployments. There exist several different approaches to providing power measurements that are used today, primarily in-band and out-of-band measurements. Both of these fundamental techniques can be augmented with application-level profiling and the combination of different techniques is also possible. However, it can be difficult to assess the type and detail of measurement needed to obtain insights and knowledge of the power profile of an application. In addition, the heterogeneity of modern hybrid supercomputing platforms requires that different CPU architectures must be examined as well.},
doi = {10.1016/j.suscom.2018.11.005},
url = {https://www.osti.gov/biblio/1492363},
journal = {Sustainable Computing},
issn = {2210-5379},
number = C,
volume = 21,
place = {United States},
year = {Thu Dec 06 00:00:00 EST 2018},
month = {Thu Dec 06 00:00:00 EST 2018}
}
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