Add PrecompileTools workload for improved startup time #389
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- Add PrecompileTools.jl as a dependency - Create src/precompilation.jl with @compile_workload block - Precompile GPU algorithm constructors (GPUTsit5, GPUVern7, etc.) - Precompile EnsembleCPUArray - Precompile diffeqgpunorm utility function for common types - Precompile make_prob_compatible function This provides a modest improvement in package load time (~5%) and ensures that first calls to algorithm constructors and utility functions are fast (microseconds instead of compilation delay). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <[email protected]>
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Summary
src/precompilation.jlwith@compile_workloadblockdiffeqgpunormutility function for Float32, Float64, and ForwardDiff.Dual typesmake_prob_compatiblefunctionBenchmark Results
Load Time
TTFX (Time to First Execution)
After precompilation, first calls to algorithm constructors and utility functions are in microseconds:
GPUTsit5(): ~33μsGPUVern7(): ~26μsEnsembleCPUArray(): ~44μsdiffeqgpunorm(x, t): ~62μsInvalidation Analysis
Checked for invalidations using SnoopCompile. Found 100 invalidation trees, but none originating from DiffEqGPU itself - all are from dependencies (ChainRulesCore, StaticArrays, SpecialFunctions, etc.). No action needed from DiffEqGPU's side.
Test Plan
cc @ChrisRackauckas
🤖 Generated with Claude Code