Cespe UnB

Editorial Assistants:
W. Abrahão
G. Oliveira
L. Salgueiro

Editorial Technical Support:
D. H. Diaz
M. A. Gomez
J. Barbosa

Editorial management and production:
SOLGRAF Editora
solgraf@gmail.com






95/105= 0.91


1,1

Current paradigms in parallelization: a comparison of vectorization, OpenMP and MPI

doi: 10.6062/jcis.2012.03.03.0057

Authors

Penteado, P. F.

Abstract

This article presents a short overview of current parallelization concepts, focusing on vectorization, OpenMP and MPI, to obtain parallelization at the stream, thread and process levels. Vectorization allows compilers and inter- preters to generate parallel code to perform the same operation over all the different elements of data arrays, and significantly improves code robust- ness and organization. OpenMP and MPI are the the most commonly used cross-platform solutions to obtain thread and process parallelism.

Keywords

Parallelization, vectorization, OpenMP, MPI. s

Search










Combining wavelets and linear spectral mixture model for MODIS satellite sensor time-series analysis
doi: 10.6062/jcis.2008.01.01.0005
Freitas and Shimabukuro(Free PDF)

Riddled basins in complex physical and biological systems
doi: 10.6062/jcis.2009.01.02.0009
Viana et al.(Free PDF)

Use of ordinary Kriging algorithm and wavelet analysis to understanding the turbidity behavior in an Amazon floodplain
doi: 10.6062/jcis.2008.01.01.0006
Alcantara.(Free PDF)

A new multi-particle collision algorithm for optimization in a high performance environment
doi: 10.6062/jcis.2008.01.01.0001
Luz et al.((Free PDF)

Reviewer Guidelines
(Under Construction)
Advertisers/Sponsors
Advertises Media Information