Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi

被引：10

作者：

Abdurachmanov, David ^{[1
]}

Bockelman, Brian ^{[2
]}

Elmer, Peter ^{[3
]}

Eulisse, Giulio ^{[4
]}

Knight, Robert ^{[5
]}

Muzaffar, Shahzad ^{[4
]}

机构：

[1] Vilnius State Univ, Fac Math & Informat, Digital Sci & Comp Ctr, Vilnius, Lithuania

[2] Univ Nebraska Lincoln, Lincoln, NE USA

[3] Princeton Univ, Dept Phys, Princeton, NJ 08540 USA

[4] Fermilab Natl Accelerator Lab, Batavia, IL 60510 USA

[5] Princeton Univ, Res Comp, Off Informat Technol, Princeton, NJ 08540 USA

来源：

16TH INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH (ACAT2014) | 2015年 / 608卷

关键词：

D O I：

10.1088/1742-6596/608/1/012033

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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. 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).

引用

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