Parallel Computing ToolboxPerform parallel computations on multicore computers and computer clusters. | |
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Parallel Computing Toolbox Ranking & Summary
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- License:
- Shareware
- Publisher Name:
- The MathWorks, Inc.
- Publisher web site:
- Operating Systems:
- Windows XP/2000/98/Mac OS X/Linux
- File Size:
- N/A
Parallel Computing Toolbox Tags
Parallel Computing Toolbox Description
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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