Future Computing Platforms for Science in a Power Constrained Era

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Abdurachmanov, David^1 ; Elmer, Peter^2 ; Eulisse, Giulio^1 ; Knight, Robert^3

Fermilab, Batavia

IL

60510, United States^1

Department of Physics, Princeton University, Princeton

NJ

08540, United States^2

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

NJ

08540, United States^3

关键词: Computing platform;    Computing solutions;    Emerging architectures;    High-throughput computing;    Key constraints;    LHC computing grids;    Measurement techniques;    System-on-chip solutions;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/9/092007/pdf
DOI  :  10.1088/1742-6596/664/9/092007

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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. We evaluate the potential for use of such computing solutions in the context of DHTC systems, such as the Worldwide LHC Computing Grid (WLCG).