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hakmem/PHASE8_EXECUTIVE_SUMMARY.md
Moe Charm (CI) 4ef0171bc0 feat: Add ACE allocation failure tracing and debug hooks
This commit introduces a comprehensive tracing mechanism for allocation failures within the Adaptive Cache Engine (ACE) component. This feature allows for precise identification of the root cause for Out-Of-Memory (OOM) issues related to ACE allocations.

Key changes include:
- **ACE Tracing Implementation**:
  - Added  environment variable to enable/disable detailed logging of allocation failures.
  - Instrumented , , and  to distinguish between "Threshold" (size class mismatch), "Exhaustion" (pool depletion), and "MapFail" (OS memory allocation failure).
- **Build System Fixes**:
  - Corrected  to ensure  is properly linked into , resolving an  error.
- **LD_PRELOAD Wrapper Adjustments**:
  - Investigated and understood the  wrapper's behavior under , particularly its interaction with  and  checks.
  - Enabled debugging flags for  environment to prevent unintended fallbacks to 's  for non-tiny allocations, allowing comprehensive testing of the  allocator.
- **Debugging & Verification**:
  - Introduced temporary verbose logging to pinpoint execution flow issues within  interception and  routing. These temporary logs have been removed.
  - Created  to facilitate testing of the tracing features.

This feature will significantly aid in diagnosing and resolving allocation-related OOM issues in  by providing clear insights into the failure pathways.
2025-12-01 16:37:59 +09:00

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Phase 8 - Executive Summary

Date: 2025-11-30 Status: COMPLETE Next Phase: Phase 9 - SuperSlab Deep Dive (CRITICAL PRIORITY)

What We Did

Executed comprehensive benchmarks comparing HAKMEM (Phase 8) against System malloc and mimalloc:

  • 30 benchmark runs total (3 allocators × 2 working sets × 5 runs each)
  • Statistical analysis with mean, standard deviation, min/max
  • Root cause analysis from debug logs
  • Detailed technical reports generated

Key Findings

Performance Results

Benchmark HAKMEM System mimalloc Gap vs System Gap vs mimalloc
WS256 (Hot Cache) 79.2 86.7 114.9 -9.4% -45.2%
WS8192 (Realistic) 16.5 57.1 96.5 -246% -485%

All values in M ops/s (millions of operations per second)

Critical Issues Identified

  1. SuperSlab Scaling Failure (SEVERITY: CRITICAL)

    • HAKMEM degrades 4.80x from hot cache to realistic workload
    • System malloc degrades only 1.52x
    • mimalloc degrades only 1.19x
    • Root cause: SuperSlab architecture doesn't scale
    • Evidence: "shared_fail→legacy" messages in logs
  2. Fast Path Overhead (SEVERITY: MEDIUM)

    • Even with hot cache, HAKMEM is 9.4% slower than System malloc
    • Root cause: TLS drain overhead, SuperSlab lookup costs
  3. Competitive Position (SEVERITY: CRITICAL)

    • At realistic workloads, HAKMEM is 3.46x slower than System malloc
    • mimalloc is 5.85x faster than HAKMEM
    • Conclusion: HAKMEM is not production-ready

What This Means

The Good

  • Benchmarking infrastructure works perfectly
  • Statistical methodology is sound (low variance, reproducible)
  • We have clear diagnostic data and debug logs
  • We know exactly what's broken

The Bad

  • SuperSlab architecture has fundamental scalability issues
  • Performance gap is too large to fix with incremental optimizations
  • 246% slower than System malloc at realistic workloads is unacceptable

The Ugly

  • May need architectural redesign (Hybrid approach or complete rewrite)
  • Current SuperSlab work may need to be abandoned
  • Timeline to production-ready could extend by 4-8 weeks

Recommendations

Immediate Next Steps (Phase 9 - 2 weeks)

Week 1: Investigation

  • Add comprehensive profiling (cache misses, TLB misses)
  • Analyze "shared_fail→legacy" root cause
  • Measure SuperSlab fragmentation
  • Benchmark different SuperSlab sizes (1MB, 2MB, 4MB)

Week 2: Targeted Fixes

  • Implement hash table for SuperSlab lookup
  • Fix shared slab capacity issues
  • Optimize fast path (more inlining, fewer branches)
  • Test larger SuperSlab sizes

Success Criteria:

  • Minimum: WS8192 improves from 16.5 → 35 M ops/s (2x improvement)
  • Stretch: WS8192 reaches 45 M ops/s (80% of System malloc)

Decision Point (End of Phase 9)

If successful (>35 M ops/s at WS8192):

  • Continue with SuperSlab optimizations
  • Path to production-ready: 6-8 weeks
  • Confidence: Medium (60%)

If unsuccessful (<30 M ops/s at WS8192):

  • Switch to Hybrid Architecture
    • Keep: TLS fast path layer (working well)
    • Replace: SuperSlab backend with proven design
  • Path to production-ready: 8-10 weeks
  • Confidence: High (75%)

Deliverables

All benchmark data and analysis available in:

  1. PHASE8_QUICK_REFERENCE.md - TL;DR for developers (START HERE)
  2. PHASE8_VISUAL_SUMMARY.md - Charts and decision matrix
  3. PHASE8_TECHNICAL_ANALYSIS.md - Deep dive into root causes
  4. PHASE8_COMPREHENSIVE_BENCHMARK_REPORT.md - Full statistical report
  5. phase8_comprehensive_benchmark_results.txt - Raw benchmark output (222 lines)

Risk Assessment

Technical Risks

  • HIGH: SuperSlab architecture may be fundamentally flawed
  • MEDIUM: Fixes may provide only incremental improvements
  • LOW: Benchmarking methodology (methodology is solid)

Schedule Risks

  • HIGH: May need architectural redesign (adds 3-4 weeks)
  • MEDIUM: Phase 9 investigation could reveal deeper issues
  • LOW: Tooling and infrastructure (all working well)

Mitigation Strategies

  • Have Hybrid Architecture plan ready as fallback (Option B)
  • Set clear success criteria for Phase 9 (measurable, time-boxed)
  • Don't over-invest in SuperSlab if early results are negative

Competitive Landscape

Production Allocators (Benchmark: WS8192):
  1. mimalloc:      96.5 M ops/s  [TIER 1 - Best in class]
  2. System malloc: 57.1 M ops/s  [TIER 1 - Production ready]

Experimental Allocators:
  3. HAKMEM:        16.5 M ops/s  [TIER 3 - Research/development]

Target for Production: 45-50 M ops/s (80% of System malloc)

Budget and Timeline

Best Case (Phase 9 successful)

  • Phase 9: 2 weeks (investigation + fixes)
  • Phase 10-12: 4 weeks (optimizations)
  • Total: 6 weeks to production-ready
  • Cost: Low (mostly optimization work)

Likely Case (Hybrid Architecture)

  • Phase 9: 2 weeks (investigation reveals need for redesign)
  • Phase 10: 1 week (planning Hybrid approach)
  • Phase 11-13: 4 weeks (implementation)
  • Phase 14: 1 week (validation)
  • Total: 8 weeks to production-ready
  • Cost: Medium (partial rewrite of backend)

Worst Case (Complete rewrite)

  • Phase 9: 2 weeks (investigation)
  • Phase 10: 2 weeks (architecture design)
  • Phase 11-15: 8 weeks (implementation)
  • Total: 12 weeks to production-ready
  • Cost: High (throw away SuperSlab work)

Recommended: Plan for Likely Case (8 weeks), prepare for Worst Case

Success Metrics

Phase 9 Targets (2 weeks from now)

  • WS256: 79.2 → 85+ M ops/s
  • WS8192: 16.5 → 35+ M ops/s
  • Degradation: 4.80x → 2.50x
  • Zero "shared_fail→legacy" events
  • Understand root cause of scalability issue

Phase 12 Targets (6-8 weeks from now)

  • WS256: 90+ M ops/s (match System malloc)
  • WS8192: 45+ M ops/s (80% of System malloc)
  • Degradation: <2.0x (competitive with System malloc)
  • Production-ready: passes all stress tests

Conclusion

Phase 8 benchmarking successfully identified critical performance issues with HAKMEM. The data is statistically robust, reproducible, and provides clear direction for Phase 9.

Bottom Line:

  • SuperSlab architecture is broken at scale
  • We have 2 weeks to fix it (Phase 9)
  • If unfixable, we have a viable fallback plan (Hybrid Architecture)
  • Timeline to production-ready: 6-10 weeks depending on Phase 9 results

Recommendation: Proceed with Phase 9 investigation IMMEDIATELY. This is the critical path to success.


Prepared by: Claude (Benchmark Automation) Reviewed by: [Your review] Approved for Phase 9: [Pending]

Questions? See PHASE8_QUICK_REFERENCE.md or PHASE8_VISUAL_SUMMARY.md for details.