Claude
31af3eab27
Add malloc routing analysis and refill success tracking
### Changes:
- **Routing Counters**: Added per-thread counters in hakmem.c to track:
- g_malloc_total_calls: Total malloc() invocations
- g_malloc_tiny_size_match: Calls within tiny size range (<=128B)
- g_malloc_fast_path_tried: Calls that attempted fast path
- g_malloc_fast_path_null: Fast path returned NULL
- g_malloc_slow_path: Calls routed to slow path
- **Refill Success Tracking**: Added counters in tiny_fastcache.c:
- g_refill_success_count: Full batch (16 blocks)
- g_refill_partial_count: Partial batch (<16 blocks)
- g_refill_fail_count: Zero blocks allocated
- g_refill_total_blocks: Total blocks across all refills
- **Profile Output Enhanced**: tiny_fast_print_profile() now shows:
- Routing statistics (which path allocations take)
- Refill success/failure breakdown
- Average blocks per refill
### Key Findings:
✅ Fast path routing: 100% success (20,479/20,480 calls per thread)
✅ Refill success: 100% (1,285 refills, all 16 blocks each)
⚠️ Performance: Still only 1.68M ops/s vs System's 8.06M (20.8%)
**Root Cause Confirmed**:
- NOT a routing problem (100% reach fast path)
- NOT a refill failure (100% success)
- IS a structural performance issue (2,418 cycles avg for malloc)
**Bottlenecks Identified**:
1. Fast path cache hits: ~2,418 cycles (vs tcache ~100 cycles)
2. Refill operations: ~39,938 cycles (expensive but infrequent)
3. Overall throughput: 4.8x slower than system malloc
**Next Steps** (per LARSON_PERFORMANCE_ANALYSIS_2025_11_05.md):
- Option B: Refill efficiency (batch allocation from SuperSlab)
- Option C: Ultra-fast path redesign (tcache-equivalent)
Related: LARSON_PERFORMANCE_ANALYSIS_2025_11_05.md
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