feat(engine): optimize search pipeline for 25K+ digit candidates#1
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feat(engine): optimize search pipeline for 25K+ digit candidates#1oddurs wants to merge 1 commit into
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Wire ECM, deeper P-1/sieve tiers, and batch GCD for large-candidate searches targeting 25,000+ digit primes (~83K+ bits). - Add ECM composite pre-filter after P-1 in kbn, factorial, palindromic, primorial (catches ~1-3% more composites with smooth curve order) - Raise sieve depth cap from 1B to 10B for candidates >50K bits - Add deeper P-1 tiers: B1=2M/B2=200M (50-100K bits), B1=5M/B2=500M (100K+) - Add deeper ECM tier: B1=3M/B2=300M/30 curves for 120K+ bit candidates - Wire batch GCD (Bernstein product/remainder trees) into palindromic search - Register ecm and batch_gcd modules in lib.rs (were previously dead code) - Add 3 campaign configs: kbn-25k, factorial-25k, palindromic-25k - Fix LeaderboardRow field rename (worker_count -> node_count) in integration test Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
ecmandbatch_gcdmodules in lib.rs (were dead code)LeaderboardRowfield rename in integration testTest plan
cargo checkpassescargo clippycleancargo run --release -- kbn --k 3 --base 2 --min-n 83000 --max-n 83100🤖 Generated with Claude Code