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).
@article{arxiv.1410.3441,
title = {Heterogeneous High Throughput Scientific Computing with APM X-Gene and Intel Xeon Phi},
author = {David Abdurachmanov and Brian Bockelman and Peter Elmer and Giulio Eulisse and Robert Knight and Shahzad Muzaffar},
journal= {arXiv preprint arXiv:1410.3441},
year = {2014}
}
Comments
Submitted to proceedings of 16th International workshop on Advanced Computing and Analysis Techniques in physics research (ACAT 2014), Prague