Temple University 3 credits ECE
In this course, students will study the implementation of parallel processing algorithms on graphics processing units (GPUs). This course has three main components: an overview of processor architectures, a study of parallel algorithms and hands-on experience with programming Nvidia GPUs using popular software libraries such as CUDA. Students will be expected to program in C/C++ and Python and have experience with the Linux operating system.
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