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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