Heterogeneous high throughput scientific computing with APM X-Gene and Intel Xeon Phi
Abstract
Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. Additionally, future performance growth will come from heterogeneous, many-core, and high computing density platforms with specialized processors. In this paper, we examine the Intel Xeon Phi Many Integrated Cores (MIC) co-processor and Applied Micro X-Gene ARMv8 64-bit low-power server system-on-a-chip (SoC) solutions for scientific computing applications. As a result, we report our experience on software porting, performance and energy efficiency and evaluate the potential for use of such technologies in the context of distributed computing systems such as the Worldwide LHC Computing Grid (WLCG).
- Authors:
-
- Vilnius Univ., Vilnius (Lithuania)
- Univ. of Nebraska, Lincoln, NE (United States)
- Princeton Univ., Princeton, NJ (United States)
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (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:
- 1305040
- Report Number(s):
- arXiv:1410.3441; FERMILAB-CONF-14-556-CMS
Journal ID: ISSN 1742-6588; 1321696
- Grant/Contract Number:
- AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Physics. Conference Series
- Additional Journal Information:
- Journal Volume: 608; Journal Issue: 1; 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, Bockelman, Brian, Elmer, Peter, Eulisse, Giulio, Knight, Robert, and Muzaffar, Shahzad. Heterogeneous high throughput scientific computing with APM X-Gene and Intel Xeon Phi. United States: N. p., 2015.
Web. doi:10.1088/1742-6596/608/1/012033.
Abdurachmanov, David, Bockelman, Brian, Elmer, Peter, Eulisse, Giulio, Knight, Robert, & Muzaffar, Shahzad. Heterogeneous high throughput scientific computing with APM X-Gene and Intel Xeon Phi. United States. https://doi.org/10.1088/1742-6596/608/1/012033
Abdurachmanov, David, Bockelman, Brian, Elmer, Peter, Eulisse, Giulio, Knight, Robert, and Muzaffar, Shahzad. Fri .
"Heterogeneous high throughput scientific computing with APM X-Gene and Intel Xeon Phi". United States. https://doi.org/10.1088/1742-6596/608/1/012033. https://www.osti.gov/servlets/purl/1305040.
@article{osti_1305040,
title = {Heterogeneous high throughput scientific computing with APM X-Gene and Intel Xeon Phi},
author = {Abdurachmanov, David and Bockelman, Brian and Elmer, Peter and Eulisse, Giulio and Knight, Robert and Muzaffar, Shahzad},
abstractNote = {Electrical power requirements will be a constraint on the future growth of Distributed High Throughput Computing (DHTC) as used by High Energy Physics. Performance-per-watt is a critical metric for the evaluation of computer architectures for cost- efficient computing. Additionally, future performance growth will come from heterogeneous, many-core, and high computing density platforms with specialized processors. In this paper, we examine the Intel Xeon Phi Many Integrated Cores (MIC) co-processor and Applied Micro X-Gene ARMv8 64-bit low-power server system-on-a-chip (SoC) solutions for scientific computing applications. As a result, we report our experience on software porting, performance and energy efficiency and evaluate the potential for use of such technologies in the context of distributed computing systems such as the Worldwide LHC Computing Grid (WLCG).},
doi = {10.1088/1742-6596/608/1/012033},
journal = {Journal of Physics. Conference Series},
number = 1,
volume = 608,
place = {United States},
year = {Fri May 22 00:00:00 EDT 2015},
month = {Fri May 22 00:00:00 EDT 2015}
}
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Works referencing / citing this record:
The survey on ARM processors for HPC
journal, June 2019
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Breaking the Boundaries in Heterogeneous-ISA Datacenters
conference, April 2017
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Breaking the Boundaries in Heterogeneous-ISA Datacenters
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Breaking the Boundaries in Heterogeneous-ISA Datacenters
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Breaking the Boundaries in Heterogeneous-ISA Datacenters
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