Accelerating MATLAB with GPUs: A Primer with Examples, Suh, Kim 9780124080805,#

Accelerating MATLAB with GPU ComputingA Primer with Examples\nAuthor(s): Jung W. Suh, Youngmin Kim\nFormat: Paperback\nPublisher: Elsevier Science & Technology, United States\nImprint: Morgan Kaufmann Publishers In\nISBN-13: 9780124080805, 978-0124080805\nSynopsis\nBeyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The autho]