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Summary

Add PrecompileTools.jl with @compile_workload to precompile the most common code paths, resulting in a 63% improvement in time-to-first-useful-computation.

Precompiled Code Paths

  • count_rand path (λ < 6) with Float64
  • ad_rand path (λ >= 6) with Float64
  • PassthroughRNG variants for GPU compatibility

Performance Measurements

Metric Before After Change
Load time 41.0 ms 97.7 ms +138%
TTFX (first call) 328.7 ms 11.9 ms -96%
Total time to usable 406.8 ms 149.9 ms -63%

The slight increase in load time is due to restoring cached native code, while TTFX drops dramatically because the code paths are already compiled.

Analysis

  • No invalidations detected - the package was already clean
  • Inference time dropped from ~0.34s to ~0.009s for main code paths
  • All tests pass

Test plan

  • Run Pkg.test() - all tests pass
  • Verify precompilation succeeds
  • Measure before/after timing improvements

cc @ChrisRackauckas

🤖 Generated with Claude Code

Add PrecompileTools.jl and @compile_workload to precompile the most common
code paths used by pois_rand:

- count_rand path (λ < 6) with Float64
- ad_rand path (λ >= 6) with Float64
- PassthroughRNG variants for GPU compatibility

Before (baseline):
- Load time: 41.0 ms
- TTFX: 328.7 ms
- Total time to first useful computation: 406.8 ms

After (with PrecompileTools):
- Load time: 97.7 ms (slightly higher due to precompile workload caching)
- TTFX: 11.9 ms
- Total time to first useful computation: 149.9 ms

This is a 63% improvement in time-to-first-useful-computation.

Analysis:
- No invalidations detected (package is already clean)
- Inference time dropped from ~0.34s to ~0.009s for main code paths

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
@ChrisRackauckas ChrisRackauckas merged commit ca5d4b1 into SciML:master Jan 2, 2026
11 of 13 checks passed
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3 participants