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[Contributing Section of the SciMLBenchmarks README](https://github.com/SciML/SciMLBenchmarks.jl?tab=readme-ov-file#contributing)
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**Reviewers**: Chris Elrod
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# Successful Projects Archive
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These are the previous SciML small grants projects which have successfully concluded and payed out.
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## Refactor OrdinaryDiffEq.jl to use Sub-Packages of Solvers (\$600)
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#### Note: Bounty increase to \$600 from \$300 (7/20/2024)
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**In Progress**: Claimed by Param Umesh Thakkar for the time period of June 18th, 2024 - August 18th 2024. Extended due to scope and cost extension.
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** Completed by Param Umesh Thakkar for the time period of June 18th, 2024 - August 18th 2024. Extended due to scope and cost extension.**
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It's no surprise to anyone to hear that DifferentialEquations.jl, in particular the
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OrdinaryDiffEq.jl solver package, is very large and takes a long time to precompile.
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## DAE Problem Benchmarks (\$100 / Benchmark)
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**In Progress**: Completed by Marko Polic in the time period of June 18th, 2024 - July 18th 2024.
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**Completed by Marko Polic in the time period of June 18th, 2024 - July 18th 2024.**
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The transistor amplifier benchmark was added [https://github.com/SciML/SciMLBenchmarks.jl/pull/1007](https://github.com/SciML/SciMLBenchmarks.jl/pull/1007).
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Project is kept open for other benchmarks.
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## SciMLBenchmarks Compatability Bump for Benchmark Sets (\100 each set)
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**Completed by Param Umesh Thakkar for the time period of January 21st - February 21st. Extended from February 21st to March 21st. Extended due to the project's complexity and final refinements. **
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The [SciMLBenchmarks](https://github.com/SciML/SciMLBenchmarks.jl) are a large set of benchmarks maintained
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by the SciML organization. As such, keeping these benchmarks up-to-date can be a time-consuming task.
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In many cases, we can end up in a situation where there are many package bumps that need to happen. Sometimes
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no code needs to be updated, in other cases the benchmark code does need to be updated. The only way to tell
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is to start the update process, bump the project and manifest tomls, and start digging into the results.
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These bumps are done in subsets. The currently identified subsets are:
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