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Parallel Computing Toolbox 4.1

Perform parallel computations on multicore computers and computer clusters.


Last Week downloads: 0
Total downloads: 1,874
  • Last Updated: Mar 25, 2009
  • License: Shareware $1,000.00
  • OS: Windows XP/2000/98/Mac OS X/Linux
  • Requirements: For Matlab

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1 out of 5 based on 2 ratings for Parallel Computing Toolbox 4.1

For Parallel Computing Toolbox 4.1Publisher's description


Parallel Computing Toolbox is a Home & Education software developed by The MathWorks, Inc.. After our trial and test, the software is proved to be official, secure and free. Here is the official description for Parallel Computing Toolbox:

EditByBSEditor: Parallel Computing Toolbox lets you solve computationally and data-intensive problems using MATLAB and Simulink on multicore and multiprocessor computers. Parallel processing constructs such as parallel for-loops and code blocks, distributed arrays, parallel numerical algorithms, and message-passing functions let you implement task- and data-parallel algorithms in MATLAB at a high level without programming for specific hardware and network architectures. As a result, converting serial MATLAB applications to parallel MATLAB applications requires few code modifications and no programming in a low-level language. You can run your applications interactively or offline, in Batch environments.

Key Features
Support for data-parallel and task-parallel application development
Ability to Annotate code segments with parfor (parallel for-loops) and spmd (single program multiple data) for implementing task- and data-parallel algorithms
High-level constructs such as distributed arrays, parallel algorithms, and message-passing functions for processing large data sets on multiple processors
Ability to run eight workers locally on a multicore desktop
Integration with MATLAB Distributed Computing Server for cluster-based applications that use any scheduler or any number of workers
Interactive and batch execution modes
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