Parallelization of a Neural Net Training Program in a Grid Environment

Alejandro Guti?rrez; Rafael Men?ndez de Llano; Francisco Cavero; J. ?ngel Gregorio

doi:10.1109/EMPDP.2004.1271453

12th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP'04)

Parallelization of a Neural Net Training Program in a Grid Environment

Year: 2004, Pages: 258

DOI Bookmark: 10.1109/EMPDP.2004.1271453

Authors

Alejandro Guti?rrez, University of Cantabria
Rafael Men?ndez de Llano, University of Cantabria
Francisco Cavero, University of Cantabria
J. ?ngel Gregorio, University of Cantabria

Abstract

This work attempts to demonstrate the advantages provided by Globus software in a distributed memory environment when running a parallel application. For this, we have programmed with MPI and evaluated the code, which is part of the training of an artificial neural net for the search for the Higgs?s boson, in a Grid/Globus environment using the MPICH-G2 message passing library.

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Parallelization of a Neural Net Training Program in a Grid Environment

Authors

Abstract

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