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by endoftime5 2532 days ago
I’ve just given this a cursory read but wanted to say that this looks really exciting. Julia in general seems like such an exciting language.

I’ve recently switched some Fortran simulations at work for a pure Julia implementation and it is great fun to write. DifferentialEquations is a phenomenal piece of work!
1 comments
6thaccount2 2532 days ago
Is the performance equivalent in your scenario?
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endoftime5 2532 days ago
We have taken a slight performance hit, but the code is cleaner and much easier to extend.
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ChrisRackauckas 2532 days ago
If there's any benchmarks on the DiffEq side, feel free to reach out to us with them and we can take a crack at optimizing it. If it's something that's allowed to be shared, we'd love to add it to our DiffEqBenchmarks.jl repository to track the performance over time and understand the performance characteristics of your domain.
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6thaccount2 2532 days ago
Is there a general way to do this with many of the libraries in Julia?

Any chance ya'll could eventually use a test model and script from me in a benchmark test suite.

Ex: I have a large synthetic test model from a university and plan on writing some code that uses a bunch of the sparse matrix and linear solve functionality of the language. This would be on a sparse ~70k row/column square matrix.

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ChrisRackauckas 2532 days ago
At least with DiffEq we keep track of a lot of different benchmarks here: https://github.com/JuliaDiffEq/DiffEqBenchmarks.jl and it's always growing. Some of the best benchmarks have come from users who want us to track performance on their problem. Some other libraries have repos around, but not as formalized. We are getting things automated so that we can start helping others.

Your model sounds nice because it can use our automatic sparsity detection and matrix coloring. I'd love to give it a try.

https://github.com/JuliaDiffEq/SparseDiffTools.jl#automated-...

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6thaccount2 2532 days ago
Awesome! I wish I could give you a real industry one (even bigger), but a synthetic model should adequately reflect the problem domain and they have been the primary models used by researchers in my field for the past twenty years or so.

Edit: which Julia group should I get into contact with over this?

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