AM148: GPU Programming for Scientific Computations

This second course in scientific computing focuses on the use of parallel processing on GPUs with CUDA. Basic topics covered include the idea of parallelism and parallel architectures. The course then presents key parallel algorithms on GPUs such as scan, reduce, histogram and stencil, and compound algorithms. Applications to scientific computing are drawn from problems in linear algebra, curve fitting, FFTs, systems of ODEs and PDEs, and image processing. Finally, the course presents optimization strategies specific to GPUs. Basic knowledge of Unix, and C is assumed.

5 credits

Year	Fall	Winter	Spring	Summer
2023-24			Section 01 Steven Isaac Reeves (sireeves)
2021-22			Section 01 Staff

Comments

Formerly AMS 0148

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