Home > MathWorks Delivers New Parallel Computing Support for Real-Time Workshop

MathWorks Delivers New Parallel Computing Support for Real-Time Workshop

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MathWorks , a leading developer of mathematical computing software announces a new capability that accelerates code generation build times for engineers working on designs componentised with model reference.  

Achieving faster simulation and code generation via Parallel Computing Toolbox, the speed enhancement is available through the code generation tool, Real-Time Workshop.  

The tool leverages the performance scaling capabilities of Parallel Computing Toolbox and MATLAB Distributed Computing Server (MDCS).  

The capability also extends existing parallel computing support in other MathWorks tools to improve the overall efficiency of working with large-scale applications including computationally-intensive design tasks such as updating models and running simulations.  

In addition to Real-Time Workshop, Parallel Computing Toolbox and MATLAB Distributed Computing Server support other products for Model-Based Design including Simulink, Simulink Design Optimization, Simulink Control Design as well as Simulink Verification and Validation.  

Using the functionality provided by MathWorks parallel tools, engineers can now easily take advantage of high-performance hardware from multicore and multiprocessor desktops to clusters in their design exploration, verification and validation as well as implementation activities.  

Andrew Clay, Managing Director at MathWorks Australia observes that engineers and scientists need an easy way to exploit high-performance computing resources in order to run large-scale simulations and generate code faster.  

He adds that MathWorks is addressing this need across the MATLAB and Simulink product families so that users can scale their applications to multicore and multiprocessor desktops as well as clusters and grids whether technical computation or Model-Based Design is being performed.

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