Practical notes on setting up a GPU kernel-dev environment: CUDA 13's GPU cutoff, async timing pitfalls, profiler counter permissions [P]
<!-- SC_OFF --><div class="md"><p>I'm working through a free series on GPU kernel engineering (my own channel; I posted the roadmap here earlier: <a href="https://www.reddit.com/r/MachineLearning/comments/1xa4h2g/open_gpu_kernel_engineering_series_naive_gemm_to/">https://www.reddit.com/r/MachineLearning/comments/1xa4h2g/open_gpu_kernel_engineering_series_naive_gemm_to/</a> ) . Session 1 is a setup session. While preparing it I collected a few things that cost me time and that I rarely see in one



















