GPU Programming

Catalog description

This course provides an introduction to GPU programming. Topics include parallel programming paradigms, CUDA programming model and libraries, code profiling, optimization strategies, GPU architecture, parallel algorithms, and applications of GPU acceleration. Students will implement linear algebra operations, image processing algorithms, application case studies, parallel algorithm patterns, and compare their implementations with CUDA libraries. The course ends with a multi-week team-based project.