Assessing gains from parallel computation on supercomputers

Lilia Maliar

Working Papers. Serie AD from Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie)

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).

Keywords: Parallel Computation; Information transfers; Speedup; Supercomputers; OpenMP; MPI; Blacklight (search for similar items in EconPapers)
JEL-codes: C63 C68 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2013-12
New Economics Papers: this item is included in nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published by Ivie

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http://www.ivie.es/downloads/docs/wpasad/wpasad-2013-10.pdf Fisrt version / Primera version, 2013 (application/pdf)

Related works:
Journal Article: Assessing gains from parallel computation on a supercomputer (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:ivi:wpasad:2013-10

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