Engineering techniques for parallel processing. Knowledge and hands-on experience in developing applications software for processors on inexpensive widely-available computers with massively parallel computing resources. Multi-thread shared memory programming with OpenMP and NVIDIA GPU multicore programming with CUDA and Thrust. The use of NVIDIA gaming and graphics cards on current laptops and desktops for general purpose parallel computing using Linux.
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