Coluna.jl
Branch-and-Price-and-Cut in Julia (by atoptima)
Metatheory.jl
General purpose algebraic metaprogramming and symbolic computation library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more. (by JuliaSymbolics)
Coluna.jl | Metatheory.jl | |
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1 | 5 | |
187 | 334 | |
1.6% | 1.2% | |
9.1 | 8.1 | |
3 months ago | 7 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Coluna.jl
Posts with mentions or reviews of Coluna.jl.
We have used some of these posts to build our list of alternatives
and similar projects.
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where to find sample code in the julia programming language about L-shaped algorithm or benders decomposition?
I never tested it: Coluna.jl has an implementation of Benders decomposition, that seems to be an alpha feature at the moment.
Metatheory.jl
Posts with mentions or reviews of Metatheory.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-26.
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[ANN] E-graphs and equality saturation: hegg 0.1
I'd love to see something in the lines of Julia's https://juliasymbolics.github.io/Metatheory.jl/dev/
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Twitter Thread: Symbolic Computing for Compiler Optimizations in Julia
From that example you can see how this makes some rather difficult compiler questions all be subsumed in the e-graph saturation solve. That solve itself isn't easy, it's an NP-hard problem that requires good heuristics and such, and that's what Metatheory.jl, and that's what chunks of the thesis are about. But given a good enough solver, the ability to write such transformation passes becomes rather trivial and you get an optimal solution in the sense of the chosen cost function. So problems like enabling automatic FMA on specific codes is rather simple with this tool: just declare a*b + c = fma(a,b,c), the former is a cost of 2 the latter is a cost of one, and let it rip.
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Show HN: prometeo – a Python-to-C transpiler for high-performance computing
Well IMO it can definitely be rewritten in Julia, and to an easier degree than python since Julia allows hooking into the compiler pipeline at many areas of the stack. It's lispy an built from the ground up for codegen, with libraries like (https://github.com/JuliaSymbolics/Metatheory.jl) that provide high level pattern matching with e-graphs. The question is whether it's worth your time to learn Julia to do so.
You could also do it at the LLVM level: https://github.com/JuliaComputingOSS/llvm-cbe
For interesting takes on that, you can see https://github.com/JuliaLinearAlgebra/Octavian.jl which relies on loopvectorization.jl to do transforms on Julia AST beyond what LLVM does. Because of that, Octavian.jl beats openblas on many linalg benchmarks
- From Julia to Rust
- Algebraic Metaprogramming in Julia with Metatheory.jl
What are some alternatives?
When comparing Coluna.jl and Metatheory.jl you can also consider the following projects:
JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
JET.jl - An experimental code analyzer for Julia. No need for additional type annotations.