⚡ Optimize AMR interpolation with buffer reuse support#258
⚡ Optimize AMR interpolation with buffer reuse support#258google-labs-jules[bot] wants to merge 1 commit intomainfrom
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Added `interpolate_into` method to `ConservativeInterpolator` to allow reusing an output buffer, avoiding allocation overhead in tight loops. Retained fast path in `interpolate_to_refined` using `clone()`. Added `benches/amr_interpolation.rs` to measure performance.
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Review by RecurseML
🔍 Review performed on 6e1b866..a22f9f9
✨ No bugs found, your code is sparkling clean
✅ Files analyzed, no issues (3)
• Cargo.toml
• benches/amr_interpolation.rs
• src/solver/utilities/amr/interpolation.rs
Added interpolate_into method to ConservativeInterpolator to allow buffer reuse and avoid allocation. Updated interpolate_to_refined to use this method. Added benchmarks showing the performance impact.
PR created automatically by Jules for task 2295632786768153110 started by @ryancinsight
High-level PR Summary
This PR adds a performance optimization to AMR (Adaptive Mesh Refinement) interpolation by introducing an
interpolate_intomethod that allows buffer reuse, avoiding memory allocation overhead. The existinginterpolate_to_refinedmethod now has an alternative that accepts a pre-allocated output buffer. Benchmarks were added to measure the performance impact of buffer reuse compared to the original allocation-based approach.⏱️ Estimated Review Time: 5-15 minutes
💡 Review Order Suggestion
src/solver/utilities/amr/interpolation.rsbenches/amr_interpolation.rsCargo.toml