NDLI: Field, experimental, and analytical data on large-scale HPC systems and evaluation of the implications for exascale system design

Content Provider	IEEE Xplore Digital Library
Author	DeBardeleben, N. Blanchard, S. Kaeli, D. Rech, P.
Copyright Year	2015
Description	Author affiliation: UFRGS, Porto Alegre, Brazil (Rech, P.) \|\| Ultrascale Syst. Res. Center, Los Alamos Nat. Lab., Los Alamos, NM, USA (DeBardeleben, N.; Blanchard, S.) \|\| Northeastern Univ., Boston, MA, USA (Kaeli, D.)
Abstract	Reliability is an issue for today's large scale computing systems designers, producers, and users. As we approach exascale, the resilience challenge will become critical due to increase in system-scale. It is then fundamental to understand the nature of errors, evaluate their probability of occurrence, and improve the design to reduce their impact on the overall system. In the paper we will present experimental, field, and analytical data to characterize and quantify errors on accelerators, providing a thorough understanding of errors impact on today and future large-scale systems.
Starting Page	1
Ending Page	2
File Size	137458
Page Count	2
File Format	PDF
ISBN	9781479975976
DOI	10.1109/VTS.2015.7116295
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Computer architecture Hardware Reliability engineering Resilience
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Field, experimental, and analytical data on large-scale HPC systems and evaluation of the implications for exascale system design