This article guides you through the process of selecting the best deployment approach for your MATLAB application. It covers three strategies: using batch processing, generating C code with MATLAB Coder, and deploying with MATLAB Compiler.
This article describes how to solve large linear algebra problems by spreading them across multiple machines using distributed arrays and the single program multiple data (SPMD) language construct, available in Parallel Computing Toolbox.
This paper uses a hydromechanical actuator as an example to illustrate techniques for modeling, optimizing, and testing plant models in MATLAB® and Simulink®. High-performance computing clusters are used to speed up Monte Carlo techniques.
Short Description/Meta Description (250 character limit): This paper studies techniques that can be used to reduce the time needed to run block diagram simulations, including automatic code generation and cluster computing.