Parallel Computing Toolbox Perform parallel computations on multicore computers and computer clusters.
Download

Parallel Computing Toolbox Ranking & Summary

Parallel Computing Toolbox Tags

cloud computing crack wep key subliminal mind torrent windowblinds v4.5 futura w01 javelin wps convert doc hihi order system piano tuning database secure video chat intel parallel studio publisherraw-computing midnight sun computing

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

Parallel Computing Toolbox Related Software