rtferraz/cuda-kernel-engineering

CUDA Kernel Engineering — Portfolio A hands-on CUDA kernel engineering portfolio built on an NVIDIA L4 GPU (GCP). Covers the complete path from first kernel to research-backed hypotheses that were empirically falsified, with Nsight Compute profiling evidence at every step. Each project teaches a specific optimization, measures its impact against cuBLAS, and documents both positive and negative results. Hardware: NVIDIA L4 (sm_89, 300 GB/s, 23 GB GDDR6)Stack: CUDA 12.4 (nvcc) /… See the full description on the dataset page: https://huggingface.co/datasets/rtferraz/cuda-kernel-engineering.

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