Add PrecompileTools workload to reduce TTFX#515
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ChrisRackauckas merged 1 commit intoSciML:masterfrom Jan 3, 2026
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This PR adds a precompilation workload using PrecompileTools.jl to significantly reduce time-to-first-X (TTFX) for common operations. ## Changes - Added PrecompileTools as a dependency - Created `src/precompilation.jl` with workloads for: - VectorOfArray creation - DiffEqArray creation - Basic indexing operations - Broadcasting operations - Array conversions - ArrayPartition operations - recursive_mean, recursivecopy ## Performance Improvements (TTFX) | Operation | Before (ms) | After (ms) | Improvement | |-----------|------------|-----------|-------------| | VectorOfArray creation | 350 | 48 | **7.4x faster** | | Indexing operations | 289 | 0.8 | **361x faster** | | Broadcasting | 185 | 0.6 | **308x faster** | | Array conversion | 138 | 0.6 | **230x faster** | | ArrayPartition + recursive_mean | 83 | 0.7 | **119x faster** | | **Total TTFX** | **1399** | **358** | **3.9x faster** | Precompilation time increases from ~2.8s to ~4.3s, but the 1+ second savings in TTFX makes this a worthwhile tradeoff. No invalidations were detected when loading RecursiveArrayTools. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Summary
src/precompilation.jlwith workloads for VectorOfArray, DiffEqArray, ArrayPartition, indexing, broadcasting, and array conversionsPerformance Improvements (TTFX)
Precompilation time increases from ~2.8s to ~4.3s (+54%), but the 1+ second savings in TTFX makes this a worthwhile tradeoff for users.
No invalidations were detected when loading RecursiveArrayTools.
Test plan
cc @ChrisRackauckas
🤖 Generated with Claude Code