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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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Ring Size Analysis: Document Index

Overview

This directory contains a comprehensive ultra-deep analysis of why POOL_TLS_RING_CAP changes affect mid_large_mt and random_mixed benchmarks differently, and provides a solution that improves BOTH.

Documents

1. RING_SIZE_SUMMARY.md (Start Here!)

Length: 2.4 KB Read Time: 2 minutes

Executive summary with:

Problem statement
Root cause explanation
Solution overview
Expected results
Key insights

Best for: Quick understanding of the issue and solution.

2. RING_SIZE_VISUALIZATION.txt

Length: 14 KB Read Time: 5 minutes

Visual guide with ASCII art showing:

Pool routing diagrams
TLS memory footprint comparison
L1 cache pressure visualization
Performance bar charts
Implementation roadmap

Best for: Visual learners who want to see the problem graphically.

3. RING_SIZE_SOLUTION.md

Length: 7.6 KB Read Time: 10 minutes

Step-by-step implementation guide with:

Exact code changes (line numbers)
sed commands for bulk replacement
Testing plan with scripts
Expected performance matrix
Rollback plan

Best for: Implementing the fix.

4. RING_SIZE_DEEP_ANALYSIS.md

Length: 18 KB Read Time: 30 minutes

Complete technical analysis with 10 sections:

Pool routing confirmation
TLS memory footprint analysis
Why ring size affects benchmarks differently
Why Ring=128 hurts BOTH benchmarks
Separate ring sizes per pool (solution)
Optimal ring size sweep
Other bottlenecks analysis
Implementation guidance
Recommended approach
Conclusion + Appendix (cache analysis)

Best for: Deep understanding of the root cause and trade-offs.

Want to: → Read:

Understand the problem in 2 min → RING_SIZE_SUMMARY.md
See visual diagrams → RING_SIZE_VISUALIZATION.txt
Implement the fix → RING_SIZE_SOLUTION.md
Deep technical dive → RING_SIZE_DEEP_ANALYSIS.md

Key Findings

Root Cause

POOL_TLS_RING_CAP controls ring size for L2 Pool (8-32KB) only:

mid_large_mt uses L2 Pool → benefits from larger rings
random_mixed uses Tiny Pool → hurt by L2's TLS growth evicting L1 cache

Solution

Use separate ring sizes per pool:

L2 Pool: POOL_L2_RING_CAP=48 (balanced)
L2.5 Pool: POOL_L25_RING_CAP=16 (unchanged)
Tiny Pool: No ring (freelist-based, unchanged)

Expected Results

Metric	Ring=16	Ring=64	L2=48	vs Ring=64
mid_large_mt	36.04M	37.22M	36.8M	-1.1%
random_mixed	22.5M	21.29M	22.5M	+5.7%
Average	29.27M	29.26M	29.65M	+1.3%
TLS/thread	2.36 KB	5.05 KB	3.4 KB	-33%

Win-Win: Improves BOTH benchmarks simultaneously.

Implementation Timeline

Code changes: 30 minutes
Testing: 2-3 hours
Documentation: 30 minutes
Total: ~4 hours

Files to Modify

core/hakmem_pool.c - Replace POOL_TLS_RING_CAP → POOL_L2_RING_CAP
core/hakmem_l25_pool.c - Replace POOL_TLS_RING_CAP → POOL_L25_RING_CAP
Makefile - Add -DPOOL_L2_RING_CAP=48 -DPOOL_L25_RING_CAP=16

Success Criteria

✓ mid_large_mt: ≥36.5M ops/s (+1.3% vs baseline) ✓ random_mixed: ≥22.4M ops/s (within ±1% of baseline) ✓ TLS footprint: ≤3.5 KB/thread ✓ No regressions in full benchmark suite

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