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Title: A Foundation for the Accurate Prediction of the Soft Error Vulnerability of Scientific Applications

Abstract

Understanding the soft error vulnerability of supercomputer applications is critical as these systems are using ever larger numbers of devices that have decreasing feature sizes and, thus, increasing frequency of soft errors. As many large scale parallel scientific applications use BLAS and LAPACK linear algebra routines, the soft error vulnerability of these methods constitutes a large fraction of the applications overall vulnerability. This paper analyzes the vulnerability of these routines to soft errors by characterizing how their outputs are affected by injected errors and by evaluating several techniques for predicting how errors propagate from the input to the output of each routine. The resulting error profiles can be used to understand the fault vulnerability of full applications that use these routines.

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
951170
Report Number(s):
LLNL-CONF-410635
TRN: US200911%%364
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Conference
Resource Relation:
Conference: Presented at: IEEE Workshop on Silicon Errors in Logic - System Effects, Stanford, CA, United States, Mar 24 - Mar 25, 2009
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; ALGEBRA; FORECASTING; SILICON; SUPERCOMPUTERS; VULNERABILITY

Citation Formats

Bronevetsky, G, de Supinski, B, and Schulz, M. A Foundation for the Accurate Prediction of the Soft Error Vulnerability of Scientific Applications. United States: N. p., 2009. Web.
Bronevetsky, G, de Supinski, B, & Schulz, M. A Foundation for the Accurate Prediction of the Soft Error Vulnerability of Scientific Applications. United States.
Bronevetsky, G, de Supinski, B, and Schulz, M. 2009. "A Foundation for the Accurate Prediction of the Soft Error Vulnerability of Scientific Applications". United States. https://www.osti.gov/servlets/purl/951170.
@article{osti_951170,
title = {A Foundation for the Accurate Prediction of the Soft Error Vulnerability of Scientific Applications},
author = {Bronevetsky, G and de Supinski, B and Schulz, M},
abstractNote = {Understanding the soft error vulnerability of supercomputer applications is critical as these systems are using ever larger numbers of devices that have decreasing feature sizes and, thus, increasing frequency of soft errors. As many large scale parallel scientific applications use BLAS and LAPACK linear algebra routines, the soft error vulnerability of these methods constitutes a large fraction of the applications overall vulnerability. This paper analyzes the vulnerability of these routines to soft errors by characterizing how their outputs are affected by injected errors and by evaluating several techniques for predicting how errors propagate from the input to the output of each routine. The resulting error profiles can be used to understand the fault vulnerability of full applications that use these routines.},
doi = {},
url = {https://www.osti.gov/biblio/951170}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Feb 13 00:00:00 EST 2009},
month = {Fri Feb 13 00:00:00 EST 2009}
}

Conference:
Other availability
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