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Modular: Matrix Multiplication on Blackwell: Part 2 - Using Hardware Features to Optimize Matmul

Modular · published 5 September 2025

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2blogs citing
First cited
21 Dec 2025
Most recent
29 Mar 2026
Rank this month
not ranked
External links
14
Words captured
6,480

Cited by

Blog
In the post
Date
danielvegamyhre.github.io
MXFP8 GEMM: Up to 99% of cuBLAS performance using CUDA + PTX Read at the source ↗
29 Mar 2026
danielvegamyhre.github.io
MXFP8 GEMM: Up to 99% of cuBLAS performance using CUDA + PTX Read at the source ↗
29 Mar 2026
gau-nernst.github.io
tcgen05 for dummies Read at the source ↗
21 Dec 2025

Links from this post

Link
Host
https://github.com/modular/modular/tree/main/max/kernels/test/gpu/linalg/matmul_blackwell_iterative
github.com
https://en.wikipedia.org/wiki/Memory_hierarchy
en.wikipedia.org
https://www.vrushankdes.ai/diffusion-policy-inference-optimization/part-i---intro-to-gpus
vrushankdes.ai
https://en.wikipedia.org/wiki/Loop_nest_optimization
en.wikipedia.org
https://github.com/modular/modular/blob/main/max/kernels/test/gpu/linalg/matmul_blackwell_iterative/2_tensor_core.mojo
github.com
https://docs.nvidia.com/cuda/parallel-thread-execution/
docs.nvidia.com
https://docs.nvidia.com/cuda/parallel-thread-execution/index.html?highlight=tcgen05%2520mma
docs.nvidia.com
https://docs.nvidia.com/cuda/parallel-thread-execution/index.html
docs.nvidia.com
https://github.com/NVIDIA/cutlass/blob/b2dd65dc864e09688245b316ac46c4a6cd07e15c/include/cute/atom/mma_traits_sm100.hpp
github.com
https://github.com/modular/modular/blob/main/max/kernels/test/gpu/linalg/matmul_blackwell_iterative/3_swizzling.mojo
github.com
https://github.com/modular/modular/blob/ee9ecef5f25a708bb58a5b83add273decc407c01/max/kernels/src/layout/swizzle.mojo
github.com
https://en.wikipedia.org/wiki/Swizzling_(computer_graphics
en.wikipedia.org
https://github.com/modular/modular/blob/main/max/kernels/test/gpu/linalg/matmul_blackwell_iterative/4_tma_stmatrix.mojo
github.com
https://github.com/modular/modular/blob/386dba7051e1455b145ff2d33bcadfeb971ac7ed/mojo/stdlib/stdlib/gpu/mma_sm100.mojo
github.com
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