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GPU Computation within Mathematica Using CUDA and OpenCL

This Wolfram Mathematica Virtual Conference 2011 course provides an introduction to the new GPU functionality in Mathematica 8 and shows examples of how to deploy your solution and scale across GPUs and machines.

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298 videos match your search.
Andrew Yule
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Symbolically solve boundary value problems for the classical PDEs and obtain symbolic solutions for the Schrödinger and other modern PDEs using the Wolfram Language.
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Jon McLoone of Wolfram Technical Communication and Strategy delivers a fast-paced overview of some of the 500+ new functions and thousands of improvements in the latest version of the Wolfram Language ...
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Discover updates to existing machine learning tools and explore new functionalities such as feature extraction and image identification.
Efficiently train convolutional neural networks on large out-of-core datasets, then easily import and export them for use on all platforms.
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Solve differential and integral equations, optimization problems, curvilinear expressions, and more, faster and more easily using the cutting-edge enhancements to symbolic and numeric computation.
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