A Note on Julia and MPI, with Code Examples
Michael Creel ()
Computational Economics, 2016, vol. 48, issue 3, No 10, 535-546
Abstract 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 .
Keywords: Julia programming language; Message passing interface; Monte Carlo; Approximate Bayesian computing (search for similar items in EconPapers)
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