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MATLAB GPU Computing Support for NVIDIA CUDA-Enabled GPUs
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:
- NVIDIA CUDA GPUs with compute capability version 1.3 or higher, including Tesla GPUs. These GPUs support double-precision computations.
- GPU use directly from MATLAB
- GPU-enabled MATLAB functions such as
fft,filter, and several linear algebra operations - GPU-enabled functions in toolboxes: Communications System Toolbox, Neural Network Toolbox, Phased Array Systems Toolbox and Signal Processing Toolbox
- CUDA kernel integration in MATLAB applications, using only a single line of MATLAB code
- GPU-enabled MATLAB functions such as
- Multiple GPUs on the desktop and computer clusters using MATLAB workers in Parallel Computing Toolbox and MATLAB Distributed Computing Server
Examples and How To
- GPU Computing with MATLAB (Webinar)
- Introduction to GPU Computing with MATLAB 2:34 (Video)
- Using GPUs To Accelerate Turbo Coding Bit Error Rate Simulations for Communications Systems (Example)
- GPU Acceleration of Clutter Simulation for Radar Systems (Example)
- Benchmarking a MATLAB GPU-Enabled Operation on an NVIDIA CUDA GPU (Example)
- Accelerating Computation of Mandelbrot Set Using MATLAB GPU Computing Capabilities (Example)
News and Articles
- GPU Programming in MATLAB (Article)
- CUDA Spotlight: GPUs for Signal Processing in MATLAB (CUDA Week in Review)
- Cornell Collaboration Explores GPU Computing Using MATLAB (News Release)
Software Reference
- MATLAB GPU Computing: Requirements
- MATLAB GPU Computing: Documentation
- MathWorks Toolboxes with GPU-enabled Algorithms (Support Summary)
- GPU Bench: Compare GPUs Using Standard Numerical Benchmarks in MATLAB (File Exchange)
- Find the Compute Capability for Your NVIDIA CUDA GPU (NVIDIA resource)
- MATLAB Acceleration on CUDA GPUs (NVIDIA resource)
- What is GPU Computing? (NVIDIA resource)
- What is CUDA? (NVIDIA resource)
See also: parallel computing
