CMU book covers GPU programming for ML systems
Published on June 23, 2026, the online book draws on a CMU ML Systems course mini-series and covers GPU programming techniques for ML systems.
Source: Modern GPU Programming for ML Systems: livro online (mlc.ai). Text prepared with AI from this source.
What happened and what to do
The CMU online book, published on June 23, 2026, was curated from a mini-series taught in its ML Systems course. Topics include data layout swizzling, 3D TMA, and programming for Blackwell, with course material aimed at engineers working on ML systems.
A company can apply these topics to assess and optimize how ML workloads run on GPUs. Practical work could map operations and data layouts, establish performance tests, and monitor resource use to inform implementation and infrastructure changes.
How the consultancy can help
Wendelmaques can diagnose bottlenecks and opportunities in GPU-based ML workloads, define an optimization scope, and implement tests, monitoring, and infrastructure improvements. Ongoing operation can also be included in the proposal.
Next step
Send a brief description of your ML workload, infrastructure, and observed issue to receive a scoped proposal.
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