The c-mex configuration opens many possibilities for what we can do with our MATLAB programs. By using CUDA-accelerated libraries available off the shelf, we can even push the limits far beyond what MATLAB can do. Using other third-party libraries in c-mex is no different from using them in regular C/C++ programs. In this chapter, we discuss how to use CUDA Basic Linear Algebra Subroutines (CUBLAS) for MATLAB through c-mex, the CUDA FFT library (CUFFT) for MATLAB through c-mex, and Thrust, a C++ template library for CUDA based on the Standard Template Library (STL).
CITATION STYLE
Suh, J. W., & Kim, Y. (2014). Accelerating Matlab with GPUs. Accelerating Matlab with GPUs, 127–155. Retrieved from http://www.sciencedirect.com/science/article/pii/B9780124080805000067
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