A note on Julia and MPI, with code examples

This note explains how MPI may be used with the Julia programming language. An example of a simple Monte Carlo study is presented, with code. The code is intended to serve as a general purpose template for more relevant applications. A second example shows how the template code may be adapted to per...

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Detalhes bibliográficos
Autor: Creel, Michael|||0000-0002-0944-8405
Tipo de documento: artigo
Data de publicação:2016
País:España
Recursos:Universitat Autònoma de Barcelona
Repositório:Dipòsit Digital de Documents de la UAB
Idioma:inglês
OAI Identifier:oai:ddd.uab.cat:174327
Acesso em linha:https://ddd.uab.cat/record/174327
https://dx.doi.org/urn:doi:10.1007/s10614-015-9516-5
Access Level:Acceso aberto
Palavra-chave:Julia programming language
Message passing interface
Monte Carlo Approximate
Bayesian computing
Descrição
Resumo:This note explains how MPI may be used with the Julia programming language. An example of a simple Monte Carlo study is presented, with code. The code is intended to serve as a general purpose template for more relevant applications. A second example shows how the template code may be adapted to perform a Monte Carlo study of the properties of an approximate Bayesian computing estimator of actual research interest. All of the code is available at https://github.com/mcreel/JuliaMPIMonteCarlo