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This talk explores what it means to write scientific software that lives up to the standards we expect of science itself.
I contributed LTO-related changes to many open-source projects, and had a lot of interesting discussions with their maintainers about LTO. In this talk, I want to share with you my experience.
This talk explores building a complete self-hosted LLM stack in Rust: Paddler, a distributed load balancer for serving LLMs at scale, and Poet, a static site generator that consumes those LLMs for AI-powered content features.
In my session, I will present the https://hotpath.rs crate and explain how it compares to other profiling tools available.
We’ll take a deep dive into Rust channels — from synchronous channels to asynchronous channels — to explore how message passing enables reliable concurrent programming.
