Скачать или смотреть SciML Developer Chat Episode 1: Trimming Support and Symbolics Precompilation

SciML Developer Chat Episode 1: Base Splits and Symbolics Precompilation

Welcome to the first episode of the SciML Dev Chat! Join Chris Rackauckas, Oscar Smith, and Aayush Sabharwal as they discuss the latest developments in the SciML (Scientific Machine Learning) ecosystem for Julia.

In this episode, we dive deep into four major ongoing development efforts:

*What we cover:*
Trimming support throughout SciML - making the entire ecosystem compatible with static compilation and Julia's trimming capabilities
Base splitting refactors - restructuring the package dependency graph to improve modularity and reduce compilation times
SymbolicUtils v4.0 rewrite - a complete overhaul focused on type stability and precompilation for ModelingToolkit
Breaking changes coming to DifferentialEquations.jl v8 and OrdinaryDiffEq.jl v7

This is a casual, behind-the-scenes look at what goes into developing a large scientific computing ecosystem. Perfect for Julia users who want to understand what's happening under the hood and library developers interested in best practices.

*Useful Links:*
SciML: https://sciml.ai
GitHub: https://github.com/SciML

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Timeline

*0:00* Introduction & Format
*2:58* Trimming Support in SciML
*16:22* Base Splitting Refactors
*31:13* SymbolicUtils v4.0 Rewrite
*51:45* DifferentialEquations.jl v8 Breaking Changes
*2:00:33* Closing Thoughts

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