Numerical Analytics

MATLAB®, Mathematica, Jacket™, and LabView benefit greatly by using CUDA-enabled GPUs.

MATLAB solution for a second-order wave equation, nearly 10x faster on Tesla C2050 vs. Xeon X5650 [learn more]	NVIDIA Tesla M2090 vs. Ivy Bridge Core i7 3720QM [learn more]

• Best Practices for MATLAB GPU Coding
• MATLAB Acceleration on Tesla/Quadro GPUs
• GPU examples from MATLAB Central File Exchange
• Jacket engine for MATLAB from Accelereyes
• CUDA prototyping and acceleration from Mathematica
• GPULib: Mathematical Functions for IDL and MATLAB
• 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

Presentations from the GPU Technology Conferences.

• An Accelerated Weeks Method for Numerical Laplace Transform Inversion
• CUDA-Based GPU Computing Framework for GNU Octave
• Jacket for Multimensional Scaling in Genomics
• 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.

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

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Jacket is a trademark of AccelerEyes