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hakorune/docs/guides/perf/benchmarks.md
nyash-codex dda65b94b7 Phase 21.7 normalization: optimization pre-work + bench harness expansion 
- Add opt-in optimizations (defaults OFF)
  - Ret purity verifier: NYASH_VERIFY_RET_PURITY=1
  - strlen FAST enhancement for const handles
  - FAST_INT gate for same-BB SSA optimization
  - length cache for string literals in llvmlite
- Expand bench harness (tools/perf/microbench.sh)
  - Add branch/call/stringchain/arraymap/chip8/kilo cases
  - Auto-calculate ratio vs C reference
  - Document in benchmarks/README.md
- Compiler health improvements
  - Unify PHI insertion to insert_phi_at_head()
  - Add NYASH_LLVM_SKIP_BUILD=1 for build reuse
- Runtime & safety enhancements
  - Clarify Rust/Hako ownership boundaries
  - Strengthen receiver localization (LocalSSA/pin/after-PHIs)
  - Stop excessive PluginInvoke→BoxCall rewrites
- Update CURRENT_TASK.md, docs, and canaries

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-13 16:40:58 +09:00

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Benchmarking MIR Generation & AOT (Quickstart)

This guide shows how to measure Hakorune's MIR emit (Stage‑B → MIR(JSON)) and AOT build (MIR(JSON) → obj/exe) without llvmlite. All commands are semantics‑preserving and keep defaults conservative (fail‑fast, O0).

Prerequisites

  • Build binaries once (release):
    • cargo build --release
    • cargo build --release -p nyash-llvm-compiler (ny-llvmc)
    • cargo build --release -p nyash_kernel (NyRT static runtime)

Scripts

1) MIR emit bench (Stage‑B → MIR(JSON))

  • Script: tools/perf/bench_hakorune_emit_mir.sh
  • Usage: tools/perf/bench_hakorune_emit_mir.sh <input.hako> [rounds]
  • Output CSV: round,ms,size,sha1 (sha1 is normalized JSON digest; identical = structure equal)
  • Useful env toggles:
    • HAKO_USING_RESOLVER_FIRST=1 (resolver‑first)
    • HAKO_SELFHOST_BUILDER_FIRST=1 (selfhost builder → provider fallback)
    • HAKO_MIR_BUILDER_BOX=hako.mir.builder|min (builder selector)
    • HAKO_SELFHOST_TRACE=1 (stderr trace)

Example:

tools/perf/bench_hakorune_emit_mir.sh apps/examples/json_query/main.hako 5

2) MIR(JSON) → obj/exe bench（ny-llvmc / crate backend）

  • Script: tools/perf/bench_ny_mir_builder.sh
  • Usage: tools/perf/bench_ny_mir_builder.sh <mir.json> [rounds]
  • Output CSV: kind,round,ms（kind = obj|exe）
  • Useful env toggles:
    • NYASH_LLVM_BACKEND=crate（既定。ny-llvmc を使う）
    • HAKO_LLVM_OPT_LEVEL=0|1（既定は 0／O0）

Example:

tools/perf/bench_ny_mir_builder.sh /path/to/out.json 3

3) MIR(JSON) 構造比較

  • Script: tools/perf/compare_mir_json.sh
  • Usage: tools/perf/compare_mir_json.sh <a.json> <b.json>
  • 出力: サイズと正規化 SHA1、差分（jq -S 利用時は整形差分）。

Typical Workflow

  1. Emit MIR(JSON)
    • tools/hakorune_emit_mir.sh apps/APP/main.hako out.json
  2. Measure MIR emit time
    • HAKO_USING_RESOLVER_FIRST=1 tools/perf/bench_hakorune_emit_mir.sh apps/APP/main.hako 5
  3. Measure AOT（obj/exe）
    • NYASH_LLVM_BACKEND=crate tools/perf/bench_ny_mir_builder.sh out.json 3
  4. Compare MIR outputs across toggles/branches
    • tools/perf/compare_mir_json.sh out_before.json out_after.json

Notes

  • All benches are best‑effort micro‑measurements; run multiple rounds and compare medians.
  • Keep defaults strict: resolver/selfhost togglesは明示時のみON。AOTは O0 既定（HAKO_LLVM_OPT_LEVEL で上げられます）。