zhhsplendid/cudaexercises — explained in plain English
Analysis updated 2026-07-17 · repo last pushed 2025-08-14
Practice writing GPU-parallel code through incremental CUDA exercises.
Learn performance optimization techniques for NVIDIA GPU programming.
Build foundational GPU skills useful for machine learning or graphics work.
| zhhsplendid/cudaexercises | stablemarkk/hash256_miner | yassa9/dvlt.cu | |
|---|---|---|---|
| Stars | 1 | 20 | 31 |
| Language | Cuda | Cuda | Cuda |
| Last pushed | 2025-08-14 | — | — |
| Maintenance | Quiet | — | — |
| Setup difficulty | hard | moderate | hard |
| Complexity | 3/5 | 4/5 | 5/5 |
| Audience | developer | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Requires an NVIDIA GPU with CUDA toolkit installed to compile and run exercises.
A LeetCode-style collection of CUDA coding exercises that teach GPU programming through self-contained problems with starter code and run scripts.
Mainly Cuda. The stack also includes CUDA, Shell.
Quiet — no commits in 6-12 months (last push 2025-08-14).
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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