CSC 425 High-Performance Computing
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The goal of this CSC 425 High-Performance Computing course is to relinquish you solid foundations for developing, analyzing, and implementing parallel and locality-efficient algorithms. This course focuses on theoretical underpinnings. To relinquish a sensible feeling for a way algorithms map to and behave on real systems, you'll supplement recursive theory with active exercises on trendy HPC systems, like Cilk and or OpenMP on shared memory nodes, CUDA for graphics co-processors (GPUs), and MPI and PGAS models for distributed memory systems.
This CSC 425 High-Performance Computing course could be a graduate-level introduction to ascendible parallel algorithms. "Scale" extremely refers to 2 things: economical because the downside size grows, and economical because the system size (measured in numbers of cores or reason nodes) grows.
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