A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields

With at least 60 processing cores, the Xeon-Phi coprocessor is a truly multicore architecture, which consists of an interconnection speed among cores of 240 GB/s, two levels of cache memory, a theoretical performance of 1.01 Tflops, and programming flexibility, all making the Xeon-Phi an excellent c...

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Main Authors: Maricela Arroyo, Carlos Couder-Castañeda, Alfredo Trujillo-Alcantara, Israel-Enrique Herrera-Diaz, Nain Vera-Chavez
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2015/316012
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spelling doaj-1b80f59191204d3aaab9d000e9ef46e32021-07-02T05:48:20ZengHindawi LimitedScientific Programming1058-92441875-919X2015-01-01201510.1155/2015/316012316012A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational FieldsMaricela Arroyo0Carlos Couder-Castañeda1Alfredo Trujillo-Alcantara2Israel-Enrique Herrera-Diaz3Nain Vera-Chavez4ABACUS-CINVESTAV-IPN, Apartado Postal 14-740, 07000 México City, DF, MexicoABACUS-CINVESTAV-IPN, Apartado Postal 14-740, 07000 México City, DF, MexicoEscuela Superior de Física y Matemáticas, Av. Instituto Politécnico Nacional Edificio 9, Unidad Profesional Adolfo López Mateos, 07738 México City, DF, MexicoDepartment of Industrial Engineering, Campus Celaya-Salvatierra, University of Guanajuato, Mutualismo 303 Colonia Suiza, 38060 Celaya, Gto, MexicoInstituto Mexicano del Petróleo, Eje Central Lázaro Cardenas No. 152, 07730 México City, DF, MexicoWith at least 60 processing cores, the Xeon-Phi coprocessor is a truly multicore architecture, which consists of an interconnection speed among cores of 240 GB/s, two levels of cache memory, a theoretical performance of 1.01 Tflops, and programming flexibility, all making the Xeon-Phi an excellent coprocessor for parallelizing applications that seek to reduce computational times. The objective of this work is to migrate a geophysical application designed to directly calculate the gravimetric tensor components and their derivatives and in this way research the performance of one and two Xeon-Phi coprocessors integrated on the same node and distributed in various nodes. This application allows the analysis of the design factors that drive good performance and compare the results against a conventional multicore CPU. This research shows an efficient strategy based on nested parallelism using OpenMP, a design that in its outer structure acts as a controller of interconnected Xeon-Phi coprocessors while its interior is used for parallelyzing the loops. MPI is subsequently used to reduce the information among the nodes of the cluster.http://dx.doi.org/10.1155/2015/316012
collection DOAJ
language English
format Article
sources DOAJ
author Maricela Arroyo
Carlos Couder-Castañeda
Alfredo Trujillo-Alcantara
Israel-Enrique Herrera-Diaz
Nain Vera-Chavez
spellingShingle Maricela Arroyo
Carlos Couder-Castañeda
Alfredo Trujillo-Alcantara
Israel-Enrique Herrera-Diaz
Nain Vera-Chavez
A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields
Scientific Programming
author_facet Maricela Arroyo
Carlos Couder-Castañeda
Alfredo Trujillo-Alcantara
Israel-Enrique Herrera-Diaz
Nain Vera-Chavez
author_sort Maricela Arroyo
title A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields
title_short A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields
title_full A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields
title_fullStr A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields
title_full_unstemmed A Performance Study of a Dual Xeon-Phi Cluster for the Forward Modelling of Gravitational Fields
title_sort performance study of a dual xeon-phi cluster for the forward modelling of gravitational fields
publisher Hindawi Limited
series Scientific Programming
issn 1058-9244
1875-919X
publishDate 2015-01-01
description With at least 60 processing cores, the Xeon-Phi coprocessor is a truly multicore architecture, which consists of an interconnection speed among cores of 240 GB/s, two levels of cache memory, a theoretical performance of 1.01 Tflops, and programming flexibility, all making the Xeon-Phi an excellent coprocessor for parallelizing applications that seek to reduce computational times. The objective of this work is to migrate a geophysical application designed to directly calculate the gravimetric tensor components and their derivatives and in this way research the performance of one and two Xeon-Phi coprocessors integrated on the same node and distributed in various nodes. This application allows the analysis of the design factors that drive good performance and compare the results against a conventional multicore CPU. This research shows an efficient strategy based on nested parallelism using OpenMP, a design that in its outer structure acts as a controller of interconnected Xeon-Phi coprocessors while its interior is used for parallelyzing the loops. MPI is subsequently used to reduce the information among the nodes of the cluster.
url http://dx.doi.org/10.1155/2015/316012
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