Computer Engineering · Spring 2027
SDSU COMPE 596 — Accelerated Computing
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 |