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Implement Warm Pool Secondary Prefill Optimization (Phase B-2c Complete) Problem: Warm pool had 0% hit rate (only 1 hit per 3976 misses) despite being implemented, causing all cache misses to go through expensive superslab_refill registry scans. Root Cause Analysis: - Warm pool was initialized once and pushed a single slab after each refill - When that slab was exhausted, it was discarded (not pushed back) - Next refill would push another single slab, which was immediately exhausted - Pool would oscillate between 0 and 1 items, yielding 0% hit rate Solution: Secondary Prefill on Cache Miss When warm pool becomes empty, we now do multiple superslab_refills and prefill the pool with 3 additional HOT superlslabs before attempting to carve. This builds a working set of slabs that can sustain allocation pressure. Implementation Details: - Modified unified_cache_refill() cold path to detect empty pool - Added prefill loop: when pool count == 0, load 3 extra superlslabs - Store extra slabs in warm pool, keep 1 in TLS for immediate carving - Track prefill events in g_warm_pool_stats[].prefilled counter Results (1M Random Mixed 256B allocations): - Before: C7 hits=1, misses=3976, hit_rate=0.0% - After: C7 hits=3929, misses=3143, hit_rate=55.6% - Throughput: 4.055M ops/s (maintained vs 4.07M baseline) - Stability: Consistent 55.6% hit rate at 5M allocations (4.102M ops/s) Performance Impact: - No regression: throughput remained stable at ~4.1M ops/s - Registry scan avoided in 55.6% of cache misses (significant savings) - Warm pool now functioning as intended with strong locality Configuration: - TINY_WARM_POOL_MAX_PER_CLASS increased from 4 to 16 to support prefill - Prefill budget hardcoded to 3 (tunable via env var if needed later) - All statistics always compiled, ENV-gated printing via HAKMEM_WARM_POOL_STATS=1 Next Steps: - Monitor for further optimization opportunities (prefill budget tuning) - Consider adaptive prefill budget based on class-specific hit rates - Validate at larger allocation counts (10M+ pending registry size fix) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-04 23:31:54 +09:00
# HAKMEM Architectural Restructuring Analysis - Complete Index
## 2025-12-04
---
## 📋 Document Overview
This is your complete guide to the HAKMEM architectural restructuring analysis and warm pool implementation proposal. Start here to navigate all documents.
---
## 🎯 Quick Start (5 minutes)
**Read this first:**
1. `RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md` (THIS DOCUMENT POINTS TO IT)
**Then decide:**
- Should we implement warm pool? ✓ YES, low risk, +40-50% gain
- Do we have time? ✓ YES, 2-3 days
- Is it worth it? ✓ YES, quick ROI
---
## 📚 Document Structure
### Level 1: Executive Summary (START HERE)
**File:** `RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md`
**Length:** ~3,000 words
**Time to read:** 15-20 minutes
**Audience:** Project managers, decision makers
**Contains:**
- High-level problem analysis
- Warm pool concept overview
- Performance expectations
- Decision framework
- Timeline and effort estimates
### Level 2: Architecture & Design (FOR ARCHITECTS)
**File:** `WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md`
**Length:** ~3,500 words
**Time to read:** 20-30 minutes
**Audience:** System architects, senior engineers
**Contains:**
- Visual diagrams of warm pool concept
- Data flow analysis
- Performance modeling with numbers
- Comparison: current vs proposed vs optional
- Risk analysis and mitigation
- Implementation phases explained
### Level 3: Implementation Guide (FOR DEVELOPERS)
**File:** `WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md`
**Length:** ~2,500 words
**Time to read:** 30-45 minutes (while implementing)
**Audience:** Developers, implementation engineers
**Contains:**
- Step-by-step code changes
- Code snippets (copy-paste ready)
- Testing checklist
- Debugging guide
- Common pitfalls and solutions
- Build & test commands
### Level 4: Deep Technical Analysis (FOR REFERENCE)
**File:** `ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md`
**Length:** ~5,000 words
**Time to read:** 45-60 minutes
**Audience:** Technical leads, code reviewers
**Contains:**
- Current architecture in detail
- Bottleneck analysis
- Three-tier design specification
- Implementation plan with phases
- Risk assessment
- Integration checklist
- Success metrics
---
## 🗺️ Reading Paths
### Path 1: Decision Maker (15 minutes)
```
1. RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md
↓ Read "Key Findings" section
↓ Read "Decision Framework"
↓ Ready to approve/reject
```
### Path 2: Architect (45 minutes)
```
1. RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md
↓ Full document
2. WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md
↓ Focus on "Implementation Complexity vs Gain"
↓ Understand phases and trade-offs
```
### Path 3: Developer (2-3 hours including implementation)
```
1. RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md
↓ Skim entire document
2. WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md
↓ Understand overall architecture
3. WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md
↓ Follow step-by-step
↓ Implement code changes
↓ Run tests
4. ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md
↓ Reference for edge cases
↓ Review integration checklist
```
### Path 4: Code Reviewer (60 minutes)
```
1. ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md
↓ "Implementation Plan" section
↓ Understand what changes are needed
2. WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md
↓ Section "Step 3" through "Step 6"
↓ Verify code changes against checklist
3. Code inspection
↓ Verify warm pool operations (thread safety, correctness)
↓ Verify integration points (cache refill, cleanup)
```
---
## 🎯 Key Decision Points
### Should We Implement Warm Pool?
**Decision Checklist:**
- [ ] Is +40-50% performance improvement valuable? (YES → Proceed)
- [ ] Do we have 2-3 days to spend? (YES → Proceed)
- [ ] Is low risk acceptable? (YES → Proceed)
- [ ] Can we commit to testing/profiling? (YES → Proceed)
**Conclusion:** If all YES → IMPLEMENT PHASE 1
### What About Phase 2/3?
**Phase 2 (Advanced Optimizations):**
- Effort: 1-2 weeks
- Gain: Additional +20-30%
- Decision: Implement AFTER Phase 1 if performance still insufficient
**Phase 3 (Architectural Redesign):**
- Effort: 3-4 weeks
- Gain: Marginal +100% (diminishing returns)
- Decision: NOT RECOMMENDED (defer unless critical)
---
## 📊 Performance Summary
### Current Performance
```
Random Mixed: 1.06M ops/s
- Bottleneck: Registry scan on cache miss (O(N), expensive)
- Profile: 70.4M cycles per 1M allocations
- Gap to Tiny Hot: 83x
```
### After Phase 1 (Warm Pool)
```
Expected: 1.5M+ ops/s (+40-50%)
- Improvement: Registry scan eliminated (90% warm pool hits)
- Profile: ~45-50M cycles (30% reduction)
- Gap to Tiny Hot: Still ~50x (architectural)
```
### After Phase 2 (If Done)
```
Estimated: 1.8-2.0M ops/s (+70-90%)
- Additional improvements from lock-free pools, batched tier checks
- Gap to Tiny Hot: Still ~40x
```
### Why Not 10x?
```
Gap to Tiny Hot (89M ops/s) is ARCHITECTURAL:
- 256 size classes (Tiny Hot has 1)
- 7,600 page faults (unavoidable)
- Working set requirements (memory bound)
- Routing overhead (necessary for correctness)
Realistic ceiling: 2.0-2.5M ops/s (2-2.5x improvement max)
This is NORMAL, not a bug. Different workload patterns.
```
---
## 🔧 Implementation Overview
### Phase 1: Basic Warm Pool (RECOMMENDED)
**Files to Create:**
- `core/front/tiny_warm_pool.h` (NEW, ~80 lines)
**Files to Modify:**
- `core/front/tiny_unified_cache.h` (add warm pool pop, ~50 lines)
- `core/front/malloc_tiny_fast.h` (init warm pool, ~20 lines)
- `core/hakmem_super_registry.h` or similar (cleanup integration, ~15 lines)
**Total:** ~300 lines of code
**Timeline:** 2-3 developer-days
**Testing:**
1. Unit tests for warm pool operations
2. Benchmark Random Mixed (target: 1.5M+ ops/s)
3. Regression tests for other workloads
4. Profiling to verify hit rate (target: > 90%)
### Phase 2: Advanced Optimizations (OPTIONAL)
See `WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md` section "Implementation Phases"
---
## ✅ Success Criteria
### Phase 1 Success Metrics
| Metric | Target | Measurement |
|--------|--------|-------------|
| Random Mixed ops/s | 1.5M+ | `bench_allocators_hakmem` |
| Warm pool hit rate | > 90% | Add debug counters |
| Tiny Hot regression | 0% | Run Tiny Hot benchmark |
| Memory overhead | < 200KB/thread | Profile TLS usage |
| All tests pass | 100% | Run test suite |
---
## 🚀 How to Get Started
### For Project Managers
1. Read: `RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md`
2. Approve: Phase 1 implementation
3. Assign: Developer and 2-3 days
4. Schedule: Follow-up in 4 days
### For Architects
1. Read: `WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md`
2. Review: `ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md`
3. Approve: Implementation approach
4. Plan: Optional Phase 2 after Phase 1
### For Developers
1. Read: `WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md`
2. Start: Step 1 (create tiny_warm_pool.h)
3. Follow: Steps 2-6 in order
4. Test: After each step
5. Reference: `ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md` for edge cases
### For QA/Testers
1. Read: "Testing Checklist" in `WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md`
2. Prepare: Benchmark infrastructure (if not ready)
3. Execute: Tests after implementation
4. Validate: Performance metrics (target: 1.5M+ ops/s)
---
## 📞 FAQ
### Q: How long will this take?
**A:** 2-3 developer-days for Phase 1. 1-2 weeks for Phase 2 (optional).
### Q: What's the risk level?
**A:** Low. Warm pool is additive. Fallback to registry scan always works.
### Q: Can we reach 10x performance?
**A:** No. That's architectural. Realistic gain: 2-2.5x maximum.
### Q: Do we need to rewrite the entire allocator?
**A:** No. Phase 1 is ~300 lines, minimal disruption.
### Q: Will warm pool work with multithreading?
**A:** Yes. It's thread-local, so no locks needed.
### Q: What if we implement Phase 1 and it doesn't work?
**A:** Warm pool is disabled (zero overhead). Full fallback to registry scan.
### Q: Should we plan Phase 2 now or after Phase 1?
**A:** After Phase 1. Measure first, then decide if more optimization needed.
---
## 🔗 Quick Links to Sections
### In RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md
- Key Findings: Performance analysis
- Solution Overview: Warm pool concept
- Why This Works: Technical justification
- Implementation Scope: Phases overview
- Performance Model: Numbers and estimates
- Decision Framework: Should we do it?
- Next Steps: Timeline and actions
### In WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md
- The Core Problem: What's slow
- Warm Pool Solution: How it works
- Performance Model: Before/after numbers
- Warm Pool Data Flow: Visual explanation
- Implementation Phases: Effort vs gain
- Safety & Correctness: Thread safety analysis
- Success Metrics: What to measure
### In WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md
- Step-by-Step Implementation: Code changes
- Testing Checklist: What to verify
- Build & Test: Commands to run
- Debugging Tips: Common issues
- Success Criteria: Acceptance tests
- Implementation Checklist: Verification items
### In ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md
- Current Architecture: Existing design
- Performance Bottlenecks: Root causes
- Three-Tier Architecture: Proposed design
- Implementation Plan: All phases
- Risk Assessment: Potential issues
- Integration Checklist: All tasks
- Files to Create/Modify: Complete list
---
## 📈 Metrics Dashboard
### Before Implementation
```
Random Mixed: 1.06M ops/s [BASELINE]
CPU cycles: 70.4M [BASELINE]
L1 misses: 763K [BASELINE]
Page faults: 7,674 [BASELINE]
Warm pool hits: N/A [N/A]
```
### After Phase 1 (Target)
```
Random Mixed: 1.5M ops/s [+40-50%]
CPU cycles: 45-50M [30% reduction]
L1 misses: Similar [Unchanged]
Page faults: 7,674 [Unchanged]
Warm pool hits: > 90% [Success]
```
---
## 🎓 Key Concepts Explained
### Warm Pool
Per-thread cache of pre-allocated SuperSlabs. Eliminates registry scan on cache miss.
### Registry Scan
Linear search through per-class registry to find HOT SuperSlab. Expensive (50-100 cycles).
### Cache Miss
When Unified Cache (TLS) is empty. Happens ~1-5% of the time.
### Three-Tier Architecture
HOT (Unified Cache) + WARM (Warm Pool) + COLD (Full allocation)
### Thread-Local Storage (__thread)
Per-thread data, no synchronization needed. Perfect for warm pools.
### Batch Amortization
Spreading cost over multiple operations. E.g., 64 objects share SuperSlab lookup cost.
### Tier System
Classification of SuperSlabs: HOT (>25% used), DRAINING (≤25%), FREE (0%)
---
## 🔄 Review & Approval Process
### Step 1: Executive Review (15 mins)
- [ ] Read `RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md`
- [ ] Approve Phase 1 scope and timeline
- [ ] Assign developer resources
### Step 2: Architecture Review (30 mins)
- [ ] Review `WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md`
- [ ] Approve design and integration points
- [ ] Confirm risk mitigation strategies
### Step 3: Implementation Review (During coding)
- [ ] Use `WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md` for step-by-step verification
- [ ] Check against `ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md` Integration Checklist
- [ ] Verify thread safety, correctness
### Step 4: Testing & Validation (After coding)
- [ ] Run full test suite (all tests pass)
- [ ] Benchmark Random Mixed (1.5M+ ops/s)
- [ ] Measure warm pool hit rate (> 90%)
- [ ] Verify no regressions (Tiny Hot, etc.)
---
## 📝 File Manifest
### Analysis Documents (This Package)
- `ANALYSIS_INDEX_20251204.md` ← YOU ARE HERE
- `RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md` (Executive summary)
- `WARM_POOL_ARCHITECTURE_SUMMARY_20251204.md` (Architecture guide)
- `WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md` (Code guide)
- `ARCHITECTURAL_RESTRUCTURING_PROPOSAL_20251204.md` (Deep analysis)
### Previous Session Documents
- `FINAL_SESSION_REPORT_20251204.md` (Performance profiling results)
- `LAZY_ZEROING_IMPLEMENTATION_RESULTS_20251204.md` (Why lazy zeroing failed)
- `COMPREHENSIVE_PROFILING_ANALYSIS_20251204.md` (Initial analysis)
- Plus 6+ analysis reports from profiling session
### Code to Create (Phase 1)
- `core/front/tiny_warm_pool.h` ← NEW FILE
### Code to Modify (Phase 1)
- `core/front/tiny_unified_cache.h`
- `core/front/malloc_tiny_fast.h`
- `core/hakmem_super_registry.h` or equivalent
---
## ✨ Summary
**What We Found:**
- HAKMEM has clear bottleneck: Registry scan on cache miss
- Warm pool is elegant solution that fits existing architecture
**What We Propose:**
- Phase 1: Implement warm pool (~300 lines, 2-3 days)
- Expected: +40-50% performance (1.06M → 1.5M+ ops/s)
- Risk: Low (fallback always works)
**What You Should Do:**
1. Read `RESTRUCTURING_ANALYSIS_COMPLETE_20251204.md`
2. Approve Phase 1 implementation
3. Assign 1 developer for 2-3 days
4. Follow `WARM_POOL_IMPLEMENTATION_GUIDE_20251204.md` for implementation
5. Benchmark and measure improvement
**Next Review:**
- Check back in 4 days for Phase 1 completion
- Measure performance improvement
- Decide on Phase 2 (optional)
---
**Status:** ✅ Analysis complete and ready for implementation
**Generated by:** Claude Code
**Date:** 2025-12-04
**Documents:** 5 comprehensive guides + index
**Ready for:** Developer implementation, architecture review, performance validation
**Recommendation:** PROCEED with Phase 1 implementation