tomoaki/hakmem
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hakmem/docs/benchmarks/2025-10-22_HAKMEM_BEST_MID_2-32KB.md
Moe Charm (CI) 52386401b3 Debug Counters Implementation - Clean History 
Major Features:
- Debug counter infrastructure for Refill Stage tracking
- Free Pipeline counters (ss_local, ss_remote, tls_sll)
- Diagnostic counters for early return analysis
- Unified larson.sh benchmark runner with profiles
- Phase 6-3 regression analysis documentation

Bug Fixes:
- Fix SuperSlab disabled by default (HAKMEM_TINY_USE_SUPERSLAB)
- Fix profile variable naming consistency
- Add .gitignore patterns for large files

Performance:
- Phase 6-3: 4.79 M ops/s (has OOM risk)
- With SuperSlab: 3.13 M ops/s (+19% improvement)

This is a clean repository without large log files.

🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-05 12:31:14 +09:00

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2025-10-22 hakmem(best) Mid 2–32KB (2s)

ENV:

HAKMEM_WRAP_L2=1 HAKMEM_WRAP_L25=1 \
HAKMEM_LEARN=1 HAKMEM_DYN1_AUTO=1 HAKMEM_DYN2_AUTO=1 HAKMEM_HIST_SAMPLE=7 \
HAKMEM_WMAX_LEARN=1 HAKMEM_WMAX_DWELL_SEC=2 \
HAKMEM_PROF=1 HAKMEM_PROF_SAMPLE=7

結果:

  • 1T: 1,264,425 ops/s
  • 4T: 917,424 ops/s

注: 本設定はラッパー内L1を許可し学習を同時に回すため、短時間ではウォームアップが不足し、既定（学習OFF/WRAP OFF）より低い数値。 当面は既定構成での比較（docs/benchmarks/2025-10-22_COMPARE_MID_2-32KB.md）を採用し、 "best"系はウォームアップ・CAP初期値・最小バンドル等の整地後に再計測する。