Assessing gains from parallel computation on supercomputers

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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Year of publication:	2013-12
Authors:	Maliar, Lilia
Institutions:	Instituto Valenciano de Investigaciones Económicas (IVIE)
Subject:	Parallel Computation \| Information transfers \| Speedup \| Supercomputers \| OpenMP \| MPI \| Blacklight

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Extent:	application/pdf
Series:	Working Papers. Serie AD.
Type of publication:	Book / Working Paper
Notes:	Published by Ivie 15 pages
Classification:	C63 - Computational Techniques ; C68 - Computable General Equilibrium Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010723497