Response of HPC hardware to neutron radiation at the dawn of exascale

Author:

Bustos Andrés,Rubio-Montero Antonio Juan,Méndez Roberto,Rivera Sergio,González Francisco,Campo Xandra,Asorey Hernán,Mayo-García Rafael

Abstract

AbstractEvery computation presents a small chance that an unexpected phenomenon ruins or modifies its output. Computers are prone to errors that, although may be very unlikely, are hard, expensive or simply impossible to avoid. In the exascale, with thousands of processors involved in a single computation, those errors are especially harmful because they can corrupt or distort the results, wasting human and material resources. In the present work, we study the effect of ionizing radiation on several pieces of commercial hardware, very common in modern supercomputers. Aiming to reproduce the natural radiation that could arise, CPUs (Xeon, EPYC) and GPUs (A100, V100, T4) are subject to a known flux of neutrons coming from two radioactive sources, namely $$^{252}$$ 252 Cf and $$^{241}$$ 241 Am-Be, in a special irradiation facility. The working hardware is irradiated under supervision to quantify any appearing error. Once the hardware response is characterised, we are able to scale down the radiation intensity and to estimate the effects on standard data centres. This can help administrators and researchers to develop their contingency plans and protocols.

Funder

Ministerio de Ciencia e Innovación

Comunidad de Madrid

CIEMAT

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference44 articles.

1. Oliveira DAGD, Pilla LL, Hanzich M, Fratin V, Fernandes F, Lunardi C, Cela JM, Navaux POA, Carro L, Rech P (2017) Radiation-induced error criticality in modern HPC parallel accelerators. In: 2017 IEEE International Symposium on High Performance Computer Architecture (HPCA), pp 577–588. https://doi.org/10.1109/HPCA.2017.41

2. Oliveira D, Pilla L, DeBardeleben N, Blanchard S, Quinn H, Koren I, Navaux P, Rech P (2017) Experimental and analytical study of Xeon Phi reliability. In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. SC ’17. Association for Computing Machinery, New York, NY, USA, pp 1–12. https://doi.org/10.1145/3126908.3126960

3. Mukherjee SS, Weaver C, Emer J, Reinhardt SK, Austin T (2003) A systematic methodology to compute the architectural vulnerability factors for a high-performance microprocessor. In: Proceedings of the 36th Annual IEEE/ACM International Symposium on Microarchitecture. MICRO 36. IEEE Computer Society, USA, pp 29–40. https://doi.org/10.1109/MICRO.2003.1253181

4. Lu G, Zheng Z, Chien AA (2013) When is multi-version checkpointing needed? In: Proceedings of the 3rd Workshop on Fault-Tolerance for HPC at Extreme Scale. FTXS ’13. Association for Computing Machinery, New York, NY, USA, pp 49–56. https://doi.org/10.1145/2465813.2465821

5. Lyons RE, Vanderkulk W (1962) The use of triple-modular redundancy to improve computer reliability. IBM J Res Dev 6(2):200–209. https://doi.org/10.1147/rd.62.0200

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3