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984cca41ef
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P0 Optimization: Shared Pool fast path with O(1) metadata lookup
Performance Results:
- Throughput: 2.66M ops/s → 3.8M ops/s (+43% improvement)
- sp_meta_find_or_create: O(N) linear scan → O(1) direct pointer
- Stage 2 metadata scan: 100% → 10-20% (80-90% reduction via hints)
Core Optimizations:
1. O(1) Metadata Lookup (superslab_types.h)
- Added `shared_meta` pointer field to SuperSlab struct
- Eliminates O(N) linear search through ss_metadata[] array
- First access: O(N) scan + cache | Subsequent: O(1) direct return
2. sp_meta_find_or_create Fast Path (hakmem_shared_pool.c)
- Check cached ss->shared_meta first before linear scan
- Cache pointer after successful linear scan for future lookups
- Reduces 7.8% CPU hotspot to near-zero for hot paths
3. Stage 2 Class Hints Fast Path (hakmem_shared_pool_acquire.c)
- Try class_hints[class_idx] FIRST before full metadata scan
- Uses O(1) ss->shared_meta lookup for hint validation
- __builtin_expect() for branch prediction optimization
- 80-90% of acquire calls now skip full metadata scan
4. Proper Initialization (ss_allocation_box.c)
- Initialize shared_meta = NULL in superslab_allocate()
- Ensures correct NULL-check semantics for new SuperSlabs
Additional Improvements:
- Updated ptr_trace and debug ring for release build efficiency
- Enhanced ENV variable documentation and analysis
- Added learner_env_box.h for configuration management
- Various Box optimizations for reduced overhead
Thread Safety:
- All atomic operations use correct memory ordering
- shared_meta cached under mutex protection
- Lock-free Stage 2 uses proper CAS with acquire/release semantics
Testing:
- Benchmark: 1M iterations, 3.8M ops/s stable
- Build: Clean compile RELEASE=0 and RELEASE=1
- No crashes, memory leaks, or correctness issues
Next Optimization Candidates:
- P1: Per-SuperSlab free slot bitmap for O(1) slot claiming
- P2: Reduce Stage 2 critical section size
- P3: Page pre-faulting (MAP_POPULATE)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-12-04 16:21:54 +09:00 |
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03ba62df4d
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Phase 23 Unified Cache + PageFaultTelemetry generalization: Mid/VM page-fault bottleneck identified
Summary:
- Phase 23 Unified Cache: +30% improvement (Random Mixed 256B: 18.18M → 23.68M ops/s)
- PageFaultTelemetry: Extended to generic buckets (C0-C7, MID, L25, SSM)
- Measurement-driven decision: Mid/VM page-faults (80-100K) >> Tiny (6K) → prioritize Mid/VM optimization
Phase 23 Changes:
1. Unified Cache implementation (core/front/tiny_unified_cache.{c,h})
- Direct SuperSlab carve (TLS SLL bypass)
- Self-contained pop-or-refill pattern
- ENV: HAKMEM_TINY_UNIFIED_CACHE=1, HAKMEM_TINY_UNIFIED_C{0-7}=128
2. Fast path pruning (tiny_alloc_fast.inc.h, tiny_free_fast_v2.inc.h)
- Unified ON → direct cache access (skip all intermediate layers)
- Alloc: unified_cache_pop_or_refill() → immediate fail to slow
- Free: unified_cache_push() → fallback to SLL only if full
PageFaultTelemetry Changes:
3. Generic bucket architecture (core/box/pagefault_telemetry_box.{c,h})
- PF_BUCKET_{C0-C7, MID, L25, SSM} for domain-specific measurement
- Integration: hak_pool_try_alloc(), l25_alloc_new_run(), shared_pool_allocate_superslab_unlocked()
4. Measurement results (Random Mixed 500K / 256B):
- Tiny C2-C7: 2-33 pages, high reuse (64-3.8 touches/page)
- SSM: 512 pages (initialization footprint)
- MID/L25: 0 (unused in this workload)
- Mid/Large VM benchmarks: 80-100K page-faults (13-16x higher than Tiny)
Ring Cache Enhancements:
5. Hot Ring Cache (core/front/tiny_ring_cache.{c,h})
- ENV: HAKMEM_TINY_HOT_RING_ENABLE=1, HAKMEM_TINY_HOT_RING_C{0-7}=size
- Conditional compilation cleanup
Documentation:
6. Analysis reports
- RANDOM_MIXED_BOTTLENECK_ANALYSIS.md: Page-fault breakdown
- RANDOM_MIXED_SUMMARY.md: Phase 23 summary
- RING_CACHE_ACTIVATION_GUIDE.md: Ring cache usage
- CURRENT_TASK.md: Updated with Phase 23 results and Phase 24 plan
Next Steps (Phase 24):
- Target: Mid/VM PageArena/HotSpanBox (page-fault reduction 80-100K → 30-40K)
- Tiny SSM optimization deferred (low ROI, ~6K page-faults already optimal)
- Expected improvement: +30-50% for Mid/Large workloads
Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-11-17 02:47:58 +09:00 |
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