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Learn about GPGPU (general purpose computing on graphical processing units) and its integration with Wolfram Language in this 31-minute technical talk. Explore how GPU computing accelerates long-running computations, focusing on the evolution from traditional CUDALink and OpenCLLink implementations to more accessible Wolfram Language integrations. Discover practical applications in linear algebra, including equation solving and singular values, while understanding how recent developments have simplified GPU computing for users without extensive GPGPU expertise or C/C++ programming knowledge.
