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Heterogeneous high throughput scientific computing with APM X-Gene and Intel Xeon Phi

Journal Article · · Journal of Physics. Conference Series
 [1];  [2];  [3];  [4];  [3];  [4]
  1. Vilnius Univ., Vilnius (Lithuania)
  2. Univ. of Nebraska, Lincoln, NE (United States)
  3. Princeton Univ., Princeton, NJ (United States)
  4. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
+ Show Author Affiliations

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).

Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1305040
Alternate ID(s):
OSTI ID: 22549572
Report Number(s):
arXiv:1410.3441; FERMILAB-CONF--14-556-CMS; 1321696
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Journal Issue: 1 Vol. 608; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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Explorations of the viability of ARM and Xeon Phi for physics processing journal June 2014
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The open science grid journal July 2007

Cited By (5)

The survey on ARM processors for HPC journal June 2019
Breaking the Boundaries in Heterogeneous-ISA Datacenters
  • Barbalace, Antonio; Lyerly, Robert; Jelesnianski, Christopher
  • ASPLOS '17: Architectural Support for Programming Languages and Operating Systems, Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems https://doi.org/10.1145/3037697.3037738
conference April 2017
Breaking the Boundaries in Heterogeneous-ISA Datacenters journal April 2017
Breaking the Boundaries in Heterogeneous-ISA Datacenters journal May 2017
Breaking the Boundaries in Heterogeneous-ISA Datacenters journal May 2017

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Related Subjects

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS