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

16th International workshop on Advanced Computing and Analysis Techniques in physics research

物理学;计算机科学

Abdurachmanov, David^1 ; Bockelman, Brian^2 ; Elmer, Peter^3 ; Eulisse, Giulio^4 ; Knight, Robert^5 ; Muzaffar, Shahzad^4

Digital Science and Computing Center, Faculty of Mathematics and Informatics, Vilnius University, Vilnius, Lithuania^1

University of Nebraska-Lincoln, United States^2

Department of Physics, Princeton University, Princeton

NJ

08540, United States^3

Fermilab, Batavia

IL

60510, United States^4

Research Computing, Office of Information Technology, Princeton University, Princeton

NJ

08540, United States^5

关键词: Distributed computing systems;    Future performance;    High-throughput computing;    LHC computing grids;    Low power servers;    Scientific computing applications;    Software porting;    Specialized processors;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/608/1/012033/pdf
DOI  :  10.1088/1742-6596/608/1/012033

学科分类：计算机科学（综合）

来源: IOP

【 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).