Assessing gains from parallel computation on supercomputers

  1. Lilia Maliar 1
  1. 1 Stanford University
    info

    Stanford University

    Stanford, Estados Unidos

    ROR https://ror.org/00f54p054

Journal:
Working papers = Documentos de trabajo: Serie AD

Year of publication: 2013

Issue: 10

Pages: 1-14

Type: Working paper

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Abstract

We assess gains from parallel computation on Backlight supercomputer. We find that information transfers are expensive. To make parallel computation efficient, a task per core must be sufficiently large, ranging from few seconds to one minute depending on the number of cores employed. For small problems, the shared memory programming (OpenMP) leads to a higher efficiency of parallelization than the distributive memory programming (MPI).

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