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Simon Boehm's worklog: optimizing a CUDA matrix multiplication kernel toward cuBLAS performance
A worklog describing the iterative optimization of a CUDA matrix multiplication kernel, aimed at deepening understanding of GPU performance rather than replacing cuBLAS.
According to the source description, published on November 1, 2026, the text is a worklog by Simon Boehm that iteratively optimizes a CUDA matrix multiplication kernel. The stated scope is to deepen understanding of GPU performance, not to create a replacement for cuBLAS. The material presents, step by step, how kernel optimizations improve matmul performance on GPU.
Rota Nacional is an AI platform with an API compatible with OpenAI and Anthropic. It does not offer CUDA kernel optimization or GPU hardware tuning. To verify the technical details, read the original worklog at its source and check the measured results and test environments the author describes. If you use AI to study the material, do not paste code or internal data from your organization without need. The platform detects personal data such as CPF, CNPJ, e-mail, phone and names, and applies the organization's policy before any model runs.
Original source: Otimizando um Kernel CUDA de Matmul Rumo à Performance do cuBLAS