Open Source Summit India 2026

Linux kernel development has long since moved past the point of lacking contributors, with around 2,000 developers participating in each release and up to 330 first-time committers [1]. What the development process is missing, however, are reviewers and maintainers.

If you ever thought that becoming a Linux kernel maintainer was something reserved for members of a secret kernel lodge, join this talk in which we will explain why - and how - you should become a Linux kernel maintainer, with a focus on improving the Embedded Linux ecosystem.

Intention of this talk is not only present Krzysztof's ideas how to become Linux kernel maintainer, but also bring discussion with the audience, hoping more senior kernel maintainers will join and participate with their ideas and comments. Thus it could be considered a sort of half-Birds of Feather session.

[1] LWN.net: Some 6.18 development statistics, https://lwn.net/Articles/1046966/

Predicting how air flows and heat distributes through a physical product is essential for product feasibility studies, performance analysis etc. But it takes hours to days per design variant. You model the geometry, generate a mesh, set up boundary conditions, run the solver, post-process the results. The bigger issue is the back-and-forth between the designer and the simulation engineer. Multiply that by the dozens to hundreds of variants you need to explore a design space, and you get missed deadlines, stale questions, and engineering time spent waiting instead of thinking.
This talk covers usage of OpenFOAM to generate parametric training datasets across geometric and flow parameters with Latin Hypercube Sampling, then train a surrogate model using NVIDIA's PhysicsNeMo framework and its DoMINO (Deep Operator Network for Multi-physics) architecture. DoMINO encodes 3D geometry as a signed distance field, combines it with local surface features, and predicts pressure, temperature, and velocity directly on the part surface in a single forward pass, replacing the entire simulation chain. We'll go through how DoMINO works and why it fits this class of problems.