Future computing platforms for science in a power constrained era
Abstract
Power consumption will be a key constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics (HEP). This makes performance-per-watt a crucial metric for selecting cost-efficient computing solutions. For this paper, we have done a wide survey of current and emerging architectures becoming available on the market including x86-64 variants, ARMv7 32-bit, ARMv8 64-bit, Many-Core and GPU solutions, as well as newer System-on-Chip (SoC) solutions. We compare performance and energy efficiency using an evolving set of standardized HEP-related benchmarks and power measurement techniques we have been developing. In conclusion, we evaluate the potential for use of such computing solutions in the context of DHTC systems, such as the Worldwide LHC Computing Grid (WLCG).
- Authors:
-
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Princeton Univ., Princeton, NJ (United States)
- Publication Date:
- Research Org.:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1250483
- Report Number(s):
- FERMILAB-CONF-15-533-CD; arXiv:1510.03676
Journal ID: ISSN 1742-6588; 1397633
- Grant/Contract Number:
- AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Physics. Conference Series
- Additional Journal Information:
- Journal Volume: 664; Journal Issue: 9; Conference: 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa (Japan), 13-17 Apr 2015; Journal ID: ISSN 1742-6588
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Citation Formats
Abdurachmanov, David, Elmer, Peter, Eulisse, Giulio, and Knight, Robert. Future computing platforms for science in a power constrained era. United States: N. p., 2015.
Web. doi:10.1088/1742-6596/664/9/092007.
Abdurachmanov, David, Elmer, Peter, Eulisse, Giulio, & Knight, Robert. Future computing platforms for science in a power constrained era. United States. https://doi.org/10.1088/1742-6596/664/9/092007
Abdurachmanov, David, Elmer, Peter, Eulisse, Giulio, and Knight, Robert. Wed .
"Future computing platforms for science in a power constrained era". United States. https://doi.org/10.1088/1742-6596/664/9/092007. https://www.osti.gov/servlets/purl/1250483.
@article{osti_1250483,
title = {Future computing platforms for science in a power constrained era},
author = {Abdurachmanov, David and Elmer, Peter and Eulisse, Giulio and Knight, Robert},
abstractNote = {Power consumption will be a key constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics (HEP). This makes performance-per-watt a crucial metric for selecting cost-efficient computing solutions. For this paper, we have done a wide survey of current and emerging architectures becoming available on the market including x86-64 variants, ARMv7 32-bit, ARMv8 64-bit, Many-Core and GPU solutions, as well as newer System-on-Chip (SoC) solutions. We compare performance and energy efficiency using an evolving set of standardized HEP-related benchmarks and power measurement techniques we have been developing. In conclusion, we evaluate the potential for use of such computing solutions in the context of DHTC systems, such as the Worldwide LHC Computing Grid (WLCG).},
doi = {10.1088/1742-6596/664/9/092007},
journal = {Journal of Physics. Conference Series},
number = 9,
volume = 664,
place = {United States},
year = {Wed Dec 23 00:00:00 EST 2015},
month = {Wed Dec 23 00:00:00 EST 2015}
}
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