Accelerating MATLAB Performance: 1001 Tips to Speed Up MATLAB Programs
Written for novices and professionals, Accelerating MATLAB Performance demonstrates how to improve MATLAB speed in many different ways, helping readers attain significant reductions in development costs and program run time. The book shows how to profile MATLAB code to identify performance hotspots and discusses various tradeoffs in MATLAB performance tuning, such as scalability, maintainability, robustness and user perception. Topics include vectorization, parallelization, distributed computing, caching, optimization, memory management, graphical interfaces, graphics, and I/O. Various forms of compiled (binary) code are described, including the use of GPU, MEX, FPGA, and compiled MATLAB.
The following products are used to solve examples discussed in the book: MATLAB, Simulink, Parallel Computing Toolbox, MATLAB Parallel Server, Database Toolbox, Optimization Toolbox, Symbolic Math Toolbox, MATLAB Production Server, MATLAB Compiler, HDL Coder and MATLAB Coder. In addition, a supplemental set of MATLAB code files is available for download.
Online Teaching with MATLAB and Simulink
Whether you are transitioning a classroom course to a hybrid model, developing virtual labs, or launching a fully online program, MathWorks can help you foster active learning no matter where it takes place.