High-Performance Computing.

Catalog description

This course investigates modern HPC systems and architectures including multiprocessor clusters, General-Purpose Graphical Processing Units (GP-GPUs), and Xeon Phi co-processors. Students develop effective parallel programs by applying parallel programming principles, parallelism models, and communication models. Topics include: taxonomy of parallel machines, supercomputer topology, shared memory systems, OpenMP, distributed systems, message passing interface, CPU architecture, compute unified device architecture, HPC performance modeling. Prerequisite: Graduate or blended student in the School of Engineering and Computer Science and ECPE 170 with a "C" or better.