P3S : a methodology to analyze and predict application scalability
Panadero, Javier (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:	2018
Abstract:	Executing message-passing parallel applications on a large number of resources in an efficient way is not a trivial task. Due to the complex interaction between the parallel applications and the HPC system, many applications may suffer performance inefficiencies when they scale. To achieve an efficient use of these large-scale systems using thousands of cores, a point to consider before executing an application is to know its behavior in the system. In this work, we propose a novel methodology called P3S (Prediction of Parallel Program Scalability), which allows us to analyze and predict the scalability of message-passing applications on a given system. The methodology strives to use a bounded analysis time, and a reduced set of resources to predict the application behavior for large-scale. The experimental validation proves that the P3S is able to predict the application scalability with an average accuracy greater than 95 percent using a reduced set of resources.
Grants:	Ministerio de Economía y Competitividad TIN2014-53172-P
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Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	HPC systems ; MPI application ; Prediction of an application scalability ; Scalability prediction
Published in:	IEEE transactions on parallel and distributed systems, Vol. 29, issue 3 (March 2018) , p. 642-658, ISSN 1045-9219

DOI: 10.1109/TPDS.2017.2763148

17 p, 6.6 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