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CUDA - kernel
CUDA Learning Repository
This repository is my hands‑on lab for learning CUDA, GPU programming, and parallel computing on NVIDIA GPUs.
I’m using it to:
- Practice writing and profiling CUDA kernels
- Implement classic parallel algorithms (vector ops, matrix ops, reductions, etc.)
- Experiment with memory patterns, shared memory, and basic optimizations
- Build a public portfolio in systems + AI / HPC
The code here is primarily educational: small examples, mini‑projects, and notes as I go deeper into GPU acceleration for high‑performance and deep‑learning workloads.
If you work with CUDA, HPC, or performance‑critical code, feedback, issues, and suggestions are welcome.
Repository: CUDA
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