Segment 14

In this sub-session, the assistant implemented three synthesis optimizations based on previous perf stat analysis: a Vec recycling pool to reduce jemalloc alloc/dealloc overhead, interleaved A+B evaluation for better instruction-level parallelism, and software prefetch in eval loops. Microbenchmarking showed only ~1% improvement, and perf profiling revealed that the recycling pool was ineffective because the majority of allocations came from temporary LinearCombination objects created inside enforce closures via Boolean::lc() and similar methods. The assistant then pivoted to a new approach: adding add_to_lc and sub_from_lc methods to Boolean and add_lc to Num, allowing direct modification of an existing LinearCombination without creating temporary objects. The hottest call sites in UInt32::addmany, SHA-256 gadgets, and lookup closures were patched to use these new methods, and the code was rebuilt for further measurement.

Implement Vec recycling pool for LinearCombinationAdd software prefetch intrinsics to eval loopsProfile synthesis with perf to identify allocation bottleneckImplement add_to_lc/sub_from_lc methods on BooleanPatch hot call sites to eliminate temporary LC allocations

The Optimization That Wasn't: How Profiling Revealed the True Bottleneck in Groth16 Synthesis 3503 words

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