Parallel computing (2nd ed.): theory and practice
Parallel computing (2nd ed.): theory and practice
Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
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MultiMATLAB: integrating MATLAB with high-performance parallel computing
SC '97 Proceedings of the 1997 ACM/IEEE conference on Supercomputing
MultiMATLAB: MATLAB on Multiple Processors
MultiMATLAB: MATLAB on Multiple Processors
Journal of Parallel and Distributed Computing
Parallel Dynamic Programming on Clusters of Workstations
IEEE Transactions on Parallel and Distributed Systems
The design of a distributed MATLAB-based environment for computing pseudospectra
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
User-Friendly Parallel Computations with Econometric Examples
Computational Economics
Making a Supercomputer Do What You Want: High-Level Tools for Parallel Programming
Computing in Science and Engineering
The design of a distributed MATLAB-based environment for computing pseudospectra
Future Generation Computer Systems - Special section: Complex problem-solving environments for grid computing
SCE toolboxes for the development of high-level parallel applications
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
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In this work we compare some of the freely available parallel Toolboxes for Matlab, which differ in purpose and implementation details: while DP-Toolbox and MultiMatlab offer a higher-level parallel environment, the goals of PVMTB and MPITB, developed by us [7], are to closely adhere to the PVM system and MPI standard, respectively. DP-Toolbox is also based on PVM, and MultiMATLAB on MPI. These Toolboxes allow the user to build a parallel application under the rapid-prototyping Matlab environment. The differences between them are illustrated by means of a performance test and a simple case study frequently found in the literature. Thus, depending on the preferred message-passing software and the performance requirements of the application, the user can either choose a higher-level Toolbox and benefit from easier coding, or directly interface the message-passing routines and benefit from greater control and performance.