Practical notes on setting up a GPU kernel-dev environment: CUDA 13's GPU cutoff, async timing pitfalls, profiler counter permissions [P]
I'm working through a free series on GPU kernel engineering (my own channel; I posted the roadmap here earlier: https://www.reddit.com/r/MachineLearning/comments/1xa4h2g/open_gpu_kernel_engineering_series_naive_gemm_to/
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