Matrix multiplication kernels on NVIDIA GPUs
An article published on October 1, 2025, on GPU architecture and kernel techniques for accelerating matrix multiplication.
Source: Por dentro das GPUs NVIDIA: anatomia de kernels matmul de alto desempenho (aleksagordic.com). Text prepared with AI from this source.
What happened and what to do
Published on October 1, 2025, the article covers GPU architecture and the use of PTX and SASS in matrix multiplication kernels. It examines warp tiling and asynchronous tensor core pipelines as techniques for high performance.
A company running matrix workloads can assess existing kernels with representative benchmarks, identify bottlenecks, and test tiling and asynchronous execution strategies. The appropriate response is performance engineering and measurement on GPU infrastructure, not necessarily the introduction of AI.
How the consultancy can help
Wendelmaques can assess the workload and GPU infrastructure, define an optimization scope, and implement and operate benchmarks and kernels suited to the company’s needs.
Next step
Send a short description of your workload and GPU environment to receive a scoped proposal.
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