ECE 5770 - GPU Accelerated Computing

(4 credits)

This course will focus on learning how to program heterogeneous parallel computing systems and high performance applications. Technical subjects include: GPU architecture, parallel programming API’s for GPUs (CUDA, OpenCL, OpenACC), tools and techniques, principles and patterns of parallel algorithms.

Prerequisite(s): You should be comfortable programming in C/C++, and have good knowledge of undergraduate level algorithms, data structures, and computer architecture. No knowledge of parallel computing is required.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.