Computer Engineering · Fall 2026, Winter 2027, Spring 2027, & Summer 2027

SDSU COMPE 596 — Accelerated Computing

3.00 units 1 enrollment option

Use of hardware accelerators and parallel programming patterns to decrease runtime of computationally demanding regions in software used in numerical scientific and engineering applications. Design of kernels on GPUs, DPUs, and FPGAs. Programming with the Nvidia CUDA and OpenCL frameworks.

Course requirements

Prerequisites: COMPE 260, EE 410.

COMPE 260, EE 410.

Spring 2027 enrollment options

Seat status can change

Class #	Format	Status	Seats	Time	Location	Professor	RateMyProfessors
8740 Lecture	In person	Open	0 / 40	Mon/Wed/Fri 10:00 AM–10:50 AM	E 427	Christopher Paolini	2.8/5 · 24 reviews Difficulty 3.7 · 38% take again

Browse all Computer Engineering courses