Predicting robustness against transient faults of MPI based programs
Dias Lima Gramacho, João Artur (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Wong, Álvaro (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Rexachs del Rosario, Dolores Isabel (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)
Luque, Emilio (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius)

Date:	2016
Abstract:	The evaluation of a program's behaviour in the presence of transient faults is often a very time consuming work. In order to achieve significant data, thousands of executions are required and each execution will have the significant overhead of the fault injection environment. A previously published methodology reduced significantly the time needed to evaluate the robustness of a program execution by exhaustively analysing its execution trace instead of using fault injection. In this paper we present a further improvement in the evaluation time of parallel programs robustness against transient faults by combining this methodology with PAS2P - a method that strives to describe an application based on its message-passing activity. This combination allowed us to predict the robustness of larger parallel programs, reducing in some cases by more than 20 times the time needed to calculate the robustness while obtaining a robustness prediction error of less than 4%.
Grants:	Ministerio de Ciencia e Innovación TIN2007-64974
Note:	Altres ajuts: MINETUR/TSI-020400-2010-120
Rights:	Tots els drets reservats.
Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	Transient faults ; Robustness prediction ; Soft errors ; Reliability ; Parallel application signature ; Performance prediction ; PAS2P ; MPI ; Message passing interface ; Program execution ; Parallel programs
Published in:	International journal of computational science and engineering, Vol. 12, Issue 2/3 (2016) , p. 155-165, ISSN 1742-7185

DOI: 10.1504/IJCSE.2016.076218

Post-print 9 p, 1.1 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Engineering > HPC4EAS (High Performance Computing for Efficient Applications and Simulation Research Group)
Articles > Research articles
Articles > Published articles