PyCon 2011: Introduction to Parallel Computing on an NVIDIA GPU using PyCUDA

Roy Hyunjin Han With Andreas Klöckner's PyCUDA, you can harness the massively parallel supercomputing power of your NVIDIA graphics card to crunch numerically intensive scientific computing applications in a fraction of the runtime it would take on a CPU and at a fraction of the development cost of C++. We'll cover hardware architecture, API fundamentals and several examples to get you started.

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