- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Course information provided by the Courses of Study 2018-2019.
Course covers introduction to parallel computing in disciplines where parallel computing is required either to solve problems in real time, perform large scale simulations, or analyze big data sets. The course will present essential approaches to parallel solutions for shared memory, distributed memory, and hybrid environments. Students will be expected to design, implement and evaluate application programs using OpenMP, MPI and NVIDIA CUDA systems.
When Offered Spring (not offered every year).
Prerequisites/Corequisites Prerequisite: ECE 2400 or equivalent, ECE 2300 or equivalent, MATH 2940 or equivalent.
Regular Academic Session.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
- TRHollister Hall 306
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