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The author, as part of a 100-part GPU learning series, reviews a GTC 2020 lecture by Andrew Kerr on developing high-performance CUDA kernels for Tensor Cores on NVIDIA A100, discussing techniques and the trade-off between raw CUDA and CUTLASS.