The MATLABÂ programming environment is often perceived as a platform suitable for prototyping and modeling but not for serious applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips it leaves no stone unturned discussing every aspect of MATLAB. Ideal for novices and professionals alike the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance illustrating numerous ways to attain the desired speedup. The book covers MATLAB CPU and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization parallelization (implicit and explicit) optimization memory management chunking and caching. It explains MATLABâs memory model and details how it can be leveraged. It describes the use of GPU MEX FPGA and other forms of compiled code as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI graphics and I/O. It also reviews a wide variety of utilities libraries and toolboxes that can help to improve performance. Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily. Supported by an active website and numerous code examples the book will help readers rapidly attain significant reductions in development costs and program run times. . Language: English