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Claude 854bf9379a perf: fe_sqr calls fe_mul — eliminates 5ns/sqr gap, 33% faster fe_inv

fe_sqr was 20.6ns (using mul_wide + reduce_wide as separate functions)
while fe_mul was 15.6ns (inlined). Simply making fe_sqr call fe_mul
eliminates the gap.

This has a massive impact on fe_inv/fe_sqrt which do 255 squarings:
  fe_inv:  6107ns → 4085ns (33% faster!)
  fe_sqr:  20.6ns → 15.8ns (23% faster)
  fe_mul:  15.6ns → 14.9ns (stable)

Impact on operations:
  sign (cached):     15.2µs → 13.6µs (1.30x faster than ACINQ)
  pubkeyCreate:      15.3µs → 14.1µs (1.24x faster)
  verifyFast:        35.1µs → 32.2µs (1.01x vs ACINQ — tied!)
  verify (BIP-340):  39.7µs → 36.5µs (0.89x vs ACINQ)
  batch(200)/event:   6.2µs →  4.5µs (8.3x faster than ACINQ!)

https://claude.ai/code/session_011KVZhDcV2G7idNWEBz12GY

2026-04-12 02:52:51 +00:00

.idea

…

benchmarks

feat: upgrade negentropy-kmp to v1.0.2, enable macosArm64 target

2026-04-11 00:44:33 +00:00

src

perf: fe_sqr calls fe_mul — eliminates 5ns/sqr gap, 33% faster fe_inv

2026-04-12 02:52:51 +00:00

.gitignore

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build.gradle.kts