ComponentArrays.jl
RayTracer.jl
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| ComponentArrays.jl | RayTracer.jl | |
|---|---|---|
| 1 | 1 | |
| 276 | 144 | |
| - | - | |
| 7.0 | 0.0 | |
| 4 days ago | about 1 year ago | |
| Julia | Julia | |
| MIT License | MIT License |
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ComponentArrays.jl
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Recursion absolutely necessary for distributed computing?
But for these to be as fast as say an Array when being used as the object in a differential equation solve or as the underlying construct of a nonlinear optimization, you would need the compiler to elide the struct construction which it doesn't always do. This is why the tools evolved to be around things like https://github.com/jonniedie/ComponentArrays.jl instead, where it's an Array-backed object with a higher level. Such immutable objects are used in these array-like contexts when the problems are small enough (FieldVectors or SLVector LabelledArrays.jl in DiffEq), and such applications work well in Haskell as well, but I haven't seen a compiler do well with say a 1,000 ODE model written in this style. And it's not quite an extreme case if it's what people are doing daily.
RayTracer.jl
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what’s a simple example of a “software 2.0”-type of differentiable program ?
First thing I thought of was https://github.com/avik-pal/RayTracer.jl
What are some alternatives?
DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
JuliaComputation - Repository for Common Ground C25
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
ADCME.jl - Automatic Differentiation Library for Computational and Mathematical Engineering
ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Coluna.jl - Branch-and-Price-and-Cut in Julia
ControlSystems.jl - A Control Systems Toolbox for Julia
DSGE.jl - Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
GeoStats.jl - An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
FunctionalCollections.jl - Functional and persistent data structures for Julia
julia - The Julia Programming Language
ScottishTaxBenefitModel.jl - A tax-benefit model for Scotland