Parallel Computing Toolbox


Version: 4.1
Size:
N/A
Requirements:
For Matlab
Price:
$1,000.00
System:
Windows XP/2000/98/Mac OS X/Linux
Rating:
4.2
License:
Shareware

Description - Parallel Computing Toolbox



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 FeaturesSupport for data-parallel and task-parallel application developmentAbility to Annotate code segments with parfor (parallel for-loops) and spmd (single program multiple data) for implementing task- and data-parallel algorithmsHigh-level constructs such as distributed arrays, parallel algorithms, and message-passing functions for processing large data sets on multiple processorsAbility to run eight workers locally on a multicore desktopIntegration with MATLAB Distributed Computing Server for Cluster-based applications that use any scheduler or any number of workersInteractive and batch Execution modes

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