Perform MATLAB Computations on CUDA GPUs
Using MATLAB for GPU computing lets you accelerate your applications with GPUs more easily than by using C or Fortran. With the familiar MATLAB language you can take advantage of the CUDA GPU computing technology without having to learn the intricacies of GPU architectures or low-level GPU computing libraries.
You can use GPUs with MATLAB through Parallel Computing Toolbox, which supports:
- CUDA-enabled NVIDIA GPUs with compute capability 2.0 or higher. For releases 14a and earlier, compute capability 1.3 is sufficient.
- GPU use directly from MATLAB
- Multiple GPUs on the desktop and computer clusters using MATLAB workers in Parallel Computing Toolbox and MATLAB Distributed Computing Server
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See also: parallel computing, MATLAB acceleration, GPUs for Signal Processing Algorithms, MATLAB gpu videos