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#654 overall

CS 8803 O21: GPU Hardware and Software

Georgia Tech

1 recommender · 1 thread · recommended in 1 year, 2025 · score 0.7

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A graduate-level Georgia Tech course on GPU architecture and the software used to program GPUs, covering hardware design alongside parallel programming models.

One commenter suggests it as the deeper follow-up after an introductory CUDA course, positioning it as the step beyond basics.

CS Fundamentals & Systemsadvanced#gpu#cuda#parallel computing#computer architecture#georgia tech

Recommendations by year

20062026

What commenters said (1)

  1. Recommendst552025in “Introduction to CUDA programming for Python developers”

    IMO absolutely yes. I would start with the linked introduction and then ask myself if I enjoyed it.

    for a deeper dive, check out the sth like Georgia Tech’s CS 8803 O21: GPU Hardware and Software.

    To get into MLE/AI Data Engineering, I would start with a brief introductory ML course like Andrew Ng’s on Coursera

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