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Maybe consider putting "cutlass" in your CUDA/Triton kernels

Henry Zhu · published 15 December 2025

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https://news.ycombinator.com/item?id=45458948

news.ycombinator.com

https://github.com/triton-lang/triton/pull/7298

github.com

https://docs.nvidia.com/cuda/tile-ir/sections/introduction.html

docs.nvidia.com

https://docs.nvidia.com/cutlass/media/docs/cpp/cute/0x_gemm_tutorial.html

docs.nvidia.com

https://github.com/NVIDIA/cutlass/blob/v4.3.0/examples/cute/tutorial/sgemm_2.cu

github.com

https://github.com/siboehm/SGEMM_CUDA/blob/master/src/kernels/9_kernel_autotuned.cuh

github.com

How to Optimize a CUDA Matmul Kernel for cuBLAS-like Performance: a Worklog Read at the source ↗

https://godbolt.org/z/bcfj8ovrc

godbolt.org

https://godbolt.org/z/erc4e8M17

godbolt.org

https://www.reddit.com/r/programming/comments/1nx3g70/fp8_runs_100_tflops_faster_when_the_kernel_name/

reddit.com

https://forums.developer.nvidia.com/t/how-does-bar-sync-defer-blocking-get-generated/245747

forums.developer.nvidia.com

https://resources.nvidia.com/en-us-hopper-architecture/nvidia-h100-tensor-c

resources.nvidia.com