docs: add performance rationale to secp256k1 optimization decisions
Document WHY each approach was chosen, what alternatives were tested, and what the measured impact was — so future contributors don't accidentally revert optimizations or repeat failed experiments. Key decisions documented: - uLt() expect/actual: why XOR on Android, Long.compareUnsigned on JVM, and why a shared inline fun in commonMain caused 30% JVM regression - fieldMulReduceWith: why fused mul+reduce, why inline+crossinline, why NOT 5x52 limbs, why NOT single-method with all API branches - @JvmField: why it's required on MutablePoint/AffinePoint/PointScratch, with bytecode counts showing ~7,450 + ~2,000 virtual getter calls eliminated per verify https://claude.ai/code/session_01EMY5RnXb9rnsyU2KbXrSaY
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@@ -23,15 +23,31 @@ package com.vitorpamplona.quartz.utils.secp256k1
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/**
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* Android field multiply/square with API-level-gated intrinsics.
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*
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* Each API level gets its OWN private function with the inline expansion,
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* so ART's JIT can fully optimize each as a standalone ~200 DEX-instruction
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* method. Previously, having all 3 branches inline-expanded in a single
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* function created ~600 DEX instructions, causing ART's register allocator
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* to produce suboptimal code with excessive stack spills.
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* ARCHITECTURE: dispatch → per-API private function → inline-expanded hot loop
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*
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* The dispatch functions (fieldMulReduce/fieldSqrReduce) are tiny (~15 DEX
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* instructions) and always take the same branch, so ART profiles and
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* devirtualizes them efficiently.
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* Each API level gets its OWN private function (fieldMulApi35, fieldMulApi31,
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* fieldMulFallback) with the fieldMulReduceWith inline expansion. This is critical
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* because ART's JIT optimizes methods individually:
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*
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* WHY separate private functions per API level?
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* Tested: putting all 3 branches in a single fieldMulReduce with inline expansion
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* created ~600 DEX instructions (3 copies × ~200 each). ART's register allocator
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* produced suboptimal code — verify REGRESSED by ~4% vs baseline. With separate
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* functions, each is ~200 DEX instructions, well within ART's optimization sweet spot.
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* Verify improved by 16% instead.
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*
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* WHY the API-level split at all?
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* - API 35+ (Android 15): Math.unsignedMultiplyHigh → UMULH (1 ARM64 instruction)
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* - API 31-34 (Android 12-14): Math.multiplyHigh → SMULH + 3 correction insns
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* - API <31 (Android <12): pure-Kotlin fallback (4 multiplies + shifts)
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* The dispatch function (fieldMulReduce) checks API once, not per multiply-high call.
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* ART profiles and devirtualizes — on any given device, only one path is hot.
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*
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* WHY NOT use the unsignedMultiplyHigh expect/actual wrapper directly?
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* The wrapper checks API level on EVERY call (16-20× per field multiply). Even though
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* ART should constant-fold the check, the wrapper's 3-branch body may exceed ART's
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* inline-candidate threshold, leaving ~10,000 un-inlined function calls per verify.
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* The fused approach eliminates the wrapper entirely.
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*/
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private val API = android.os.Build.VERSION.SDK_INT
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+16
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@@ -21,10 +21,22 @@
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package com.vitorpamplona.quartz.utils.secp256k1
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/**
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* Android: XOR-with-MIN_VALUE trick avoids the ULong.constructor-impl
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* NOOP invokestatic calls that Kotlin's toULong() generates. Produces
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* pure arithmetic bytecode (lxor, lcmp) with zero method calls.
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* ART's JIT compiles this to EOR + CMP + CSET on ARM64.
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* Android: XOR-with-MIN_VALUE trick for unsigned comparison.
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*
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* DO NOT use Long.compareUnsigned here (even though it's an ART intrinsic since API 26).
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* Kotlin's `a.toULong() < b.toULong()` compiles to Long.compareUnsigned BUT also emits
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* 2 ULong.constructor-impl NOOP invokestatic calls per comparison. These NOOPs add ~2-3ns
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* each on ART, totaling ~35-54μs per verify (~17,800 comparisons).
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*
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* DO NOT use Long.compareUnsigned directly either — ART may or may not inline the function
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* call depending on method size budgets, adding unpredictable overhead.
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*
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* The XOR trick produces pure arithmetic bytecode with ZERO method calls:
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* Bytecode: lload a, ldc MIN_VALUE, lxor, lload b, ldc MIN_VALUE, lxor, lcmp, ifge
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* ARM64: EOR x0, a, #0x8000...; EOR x1, b, #0x8000...; CMP x0, x1; CSET x2, LT
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*
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* This approach was validated by bytecode analysis (javap) and benchmarked on Pixel 8
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* (Android 16): ~14% improvement across all EC point operations.
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*/
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internal actual fun uLt(
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a: Long,
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