Add precompilation workload to improve TTFX#50
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ChrisRackauckas merged 2 commits intoSciML:mainfrom Jan 11, 2026
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This adds a PrecompileTools workload that precompiles the most common code paths for operator splitting problems using LieTrotterGodunov with Euler integrators. Performance improvements: - TTFX init: 4.05s -> 2.51s (~38% reduction) - TTFX solve: 1.81s -> 1.44s (~20% reduction) - TTFX total: 5.86s -> 3.94s (~33% reduction) Changes: - Added PrecompileTools and OrdinaryDiffEqLowOrderRK as dependencies - Created src/precompilation.jl with a minimal workload that exercises GenericSplitFunction, OperatorSplittingProblem, and LieTrotterGodunov with Euler integrators The package load time increases slightly (~1.22s -> 1.27s) due to loading the precompiled code, but this is more than offset by the significant TTFX improvements. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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- Use explicit import `using PrecompileTools: @compile_workload` instead of implicit `using PrecompileTools` to pass ExplicitImports check - Add explicit `return` statements to satisfy Runic formatting Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
This PR adds a PrecompileTools workload that precompiles the most common code paths for operator splitting problems.
Performance improvements:
Changes
PrecompileToolsandOrdinaryDiffEqLowOrderRKas dependenciessrc/precompilation.jlwith a minimal workload that exercises:GenericSplitFunctioncreationOperatorSplittingProblemconstructionLieTrotterGodunovwithEulerintegratorsinit,step!, andsolve!operationsInvalidation Analysis
Checked for invalidations using SnoopCompile. Found 76 invalidation trees with 3,741 total invalidated method instances, but these are from upstream dependencies (Static.jl, RecursiveArrayTools, SciMLBase, FillArrays, CommonWorldInvalidations) and not from this package.
Test plan
Pkg.test()to verify all tests pass🤖 Generated with Claude Code
cc @ChrisRackauckas