AM 148GPU 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. (Formerly AMS 148.)
Prerequisite(s): CSE 20 or CSE 13S or CSE 30 or ECE 13 or ASTR 19; and AM 147 or MATH 148 or PHYS 115. Enrollment is restricted to juniors and seniors.
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When it runs
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Mon Wed Fri 2:40pm–3:45pm | PhysSciences 130 | A. Sambamurthy | Open 26/40 |
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