A scope of implementation of Parallel Algorithms using Parallel Computing Toolbox
Abstract
Parallel computing techniques can help reduce the time it takes to reach a solution. A high-level language like Matlab helps in implementing the parallel algorithms. In this paper, some of the salient features of : Parallel Computing Toolbox™ and Distributed Computing Server™ are highlighted and provide insight into the motivations, rationale, and eventual design decisions that went into the feature implementation. The MathWorks extensions to the MATLAB language: Parallel Computing Toolbox™ and Distributed Computing Server™ software helps in flexible implementation.
Keywords: Parallel Computing Toolbox™, Distributed Computing Server™, Parallel computing, Simulink, Distributed Arrays
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PDFDOI: https://doi.org/10.26483/ijarcs.v4i11.1930
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Copyright (c) 2016 International Journal of Advanced Research in Computer Science

