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Implementing a 2:4 Sparse GEMM Kernel with Tensor Cores

benfattori.com · published 14 January 2026

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

https://alexarmbr.github.io/2024/08/10/How-To-Write-A-Fast-Matrix-Multiplication-From-Scratch-With-Tensor-Cores.html

alexarmbr.github.io

Implementing a fast Tensor Core matmul on the Ada Architecture Read at the source ↗

https://github.com/fattorib/cuda-24-sparse

github.com

https://tbetcke.github.io/hpc_lecture_notes/sparse_data_structures.html

tbetcke.github.io

https://docs.nvidia.com/cuda/parallel-thread-execution/

docs.nvidia.com

CUTLASS Tutorial: Efficient GEMM kernel designs with Pipelining Read at the source ↗

research.colfax-intl.com

https://arxiv.org/abs/2408.11743v1

arxiv.org

https://forums.developer.nvidia.com/t/cp-async-introduces-bank-conflict-than-naive-ldg-and-sts-ptx/245066

forums.developer.nvidia.com

https://github.com/fattorib/mmapeak

github.com