Mathematical computing software applications like MATLAB, Mathematica, and LabView benefit greatly by using CUDA-enabled GPUs. These very-high level scripting and language software applications can use the CUDA FFT and BLAS libraries besides writing CUDA functions for key kernels.

Accelerating Black-Scholes in MATLAB using Jacket plugin Accelereyes	Accelerating Image Processing in MATLAB using CUDA Luo, Duraiswami

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• Jacket engine for MATLAB from Accelereyes
• Sign up for MathWorks beta for MATLAB Accelerated by CUDA
• MathWorks White Paper on how to accelerate MATLAB using MEX and CUDA Functions
• GPULib: Mathematical Functions for IDL and MATLAB
• Integrating Simulink with CUDA using S-functions
• Enabling GPU Computing in the R Statistical Environment
• Mathematica Plug-in for CUDA
• CUDA GPU Library for LabVIEW from National Instruments
• User Generated Way of using CUDA from LabVIEW CVI

• Canny Edge Detection using CUDA
• CUDA MATLAB Tutorial
• 2D CUDA-based BiLinear Extrapolation
• Fast 2D CUDA-based Convolution
• Affine Transformation in Optical Quadrature Microscopy

• Tesla/CUDA Success stories
• Other Tesla Vertical Solutions
• CUDA Software Development Tools & Libraries