Technical Articles

  • Selecting a MATLAB Application Deployment Strategy

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  • Converting MATLAB Code to Fixed Point

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  • Solving Geometric Problems with GPU Computing in MATLAB

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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.
Oct 2014
This article outlines best practices for preparing MATLAB® code for conversion, converting to fixed point, and optimizing your algorithm for efficiency and performance.
Sep 2014
This article describes how to modify an algorithm to run on a GPU, and then solve a geometric problem involving millions of lines and shapes in under a second.
Jul 2014
This article describes how engineers in the Baker Hughes’ Dynamics and Telemetry group used automatic code generation to reduce the number of code defects and lessened the time required to fix bugs.
Sep 2013
Topics covered include assessing code performance, adopting efficient serial programming practices, working with System objects, performing parallel computing, and generating C code.
Mar 2013
This paper compares Model-Based Design approaches for developing logic-intensive algorithms in a high-integrity environment.
Feb 2013
This blog post introduces the basics of using MATLAB Coder, and then presents a complete, iterative workflow to guide you through the task of code generation incrementally.
Oct 2011
This article discusses the recommended three-step workflow for converting MATLAB algorithms automatically into C code. Generating C code from MATLAB results in less time spent programming in a lower level language and in faster design iterations.
Aug 2011

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