Heterogeneous Computing for Signal and D
1:10pm–3:40pm
Seeley W. Mudd Building 627
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Lect: 2. Lab: 3. Methods for deploying signal and data processing algorithms on contemporary general purpose graphics processing units (GPGPUs) and heterogeneous computing infrastructures. Using programming languages such as OpenCL and CUDA for computational speedup in audio, image and video processing and computational data analysis. Significant design project
Reviews
Course experience
n=1, 2023
Aggregated across everyone who has taught this course.
Teaching quality
No signal
Grading fairness
No signal
Workload
No signal
Difficulty
1.5 / 5 · Easy
Overall sentiment
Positive
Would take again
Majority say yes
Sources: CULPA (1)
In your week
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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