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MATLAB®, Mathematica, and LabView benefit greatly by using CUDA-enabled GPUs.
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| MATLAB solution for a second-order wave equation, nearly 10x faster on Tesla C2050 vs. Xeon X5650 [learn more] |
Online resources
- Best Practices for MATLAB GPU Coding
- MATLAB Acceleration on Tesla/Quadro GPUs
- CUDA prototyping and acceleration from Mathematica
- Enabling GPU Computing in the R Statistical Environment
- Mathematica Plug-in for CUDA
- CUDA GPU Library for LabVIEW from National Instruments
Presentations from the GPU Technology Conferences.
- An Accelerated Weeks Method for Numerical Laplace Transform Inversion
- CUDA-Based GPU Computing Framework for GNU Octave
- Improving Mars Rover Image Compression Via GPUs and Genetic Algorithms
- CUDA & GPU computing for MATLAB
- GPUs Open New Avenues in Medical MRI
- Parallel Computing with MATLAB and GPUs
- Wolfram on Mathematica and GPU-based Numerical Methods
- Wolfram on Mathematica in GPU-Accelerated Finance
- Wolfram on Mathematica for GPU Programming
More presentations are available on GTC On-Demand.
See Also- Tesla/CUDA Success stories
- Other Tesla Vertical Solutions
- CUDA Software Development Tools & Libraries
- Buy Tesla
MATLAB is a registered trademark of The MathWorks, Inc.
