Cespe UnB

Editorial Office:
R. S. Oyarzabal

Technical Support:
D. H. Diaz
M. A. Gomez
W. Abrahão
G. Oliveira

Publisher by
Knobook Pub



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

doi: 10.6062/jcis.2012.03.03.0057


Penteado, P. F.


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.


Parallelization, vectorization, OpenMP, MPI. s


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)
Advertises Media Information