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.
CITATION STYLE
Creel, M. (2016). A Note on Julia and MPI, with Code Examples. Computational Economics, 48(3), 535–546. https://doi.org/10.1007/s10614-015-9516-5
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