Developing high-performance CUDA matmul kernels
Published on September 29, 2025, the guide covers GPU memory hierarchy, CUDA programming, and PTX/SASS inspection to inform the development of matmul kernels.
Source: Um guia para kernels de matmul CUDA de alto desempenho (x.com). Text prepared with AI from this source.
What happened and what to do
The publication dated September 29, 2025, presents a guide to GPU memory hierarchy, the CUDA programming model, and using PTX/SASS to inspect and guide compiler output. It connects GPU architecture and compiler behavior with the practical development of matmul kernels.
A company that relies on matmul operations can assess its kernels and GPU resource use, identify optimization opportunities, and build performance tests. A response may include inspection, monitoring, and validation tools integrated into the development process, without assuming that a kernel change is always the right solution.
How the consultancy can help
Wendelmaques can diagnose GPU usage and performance goals, define an optimization scope, and implement inspection, testing, and monitoring tools on the company's infrastructure.
Next step
Send a short description of your GPU use case to receive a scoped proposal for diagnosis and implementation.
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I reply with scope and a proposal.