Commit Graph

5 Commits

Author SHA1 Message Date
b6212bbe31 Phase 69: Refill tuning completion (Warm Pool Size=16 optimized)
- Promoted Warm Pool Size=16 as the new baseline (+3.26% gain).
- Updated PERFORMANCE_TARGETS_SCORECARD.md with Phase 69 results.
- Updated scripts/run_mixed_10_cleanenv.sh and core/bench_profile.h to use HAKMEM_WARM_POOL_SIZE=16 by default.
- Clarified that TINY_REFILL_BATCH_SIZE is not currently connected.
2025-12-18 01:55:27 +09:00
543abb0586 ENV cleanup: Consolidate SFC_DEBUG getenv() calls (86% reduction)
Optimized HAKMEM_SFC_DEBUG environment variable handling by caching
the value at initialization instead of repeated getenv() calls in
hot paths.

Changes:
1. Added g_sfc_debug global variable (core/hakmem_tiny_sfc.c)
   - Initialized once in sfc_init() by reading HAKMEM_SFC_DEBUG
   - Single source of truth for SFC debug state

2. Declared g_sfc_debug as extern (core/hakmem_tiny_config.h)
   - Available to all modules that need SFC debug checks

3. Replaced getenv() with g_sfc_debug in hot paths:
   - core/tiny_alloc_fast_sfc.inc.h (allocation path)
   - core/tiny_free_fast.inc.h (free path)
   - core/box/hak_wrappers.inc.h (wrapper layer)

Impact:
- getenv() calls: 7 → 1 (86% reduction)
- Hot-path calls eliminated: 6 (all moved to init-time)
- Performance: 15.10M ops/s (stable, 0% CV)
- Build: Clean compilation, no new warnings

Testing:
- 10 runs of 100K iterations: consistent performance
- Symbol verification: g_sfc_debug present in hakmem_tiny_sfc.o
- No regression detected

Note: 3 additional getenv("HAKMEM_SFC_DEBUG") calls exist in
hakmem_tiny_ultra_simple.inc but are dead code (file not compiled
in current build configuration).

Files modified: 5 core files
Status: Production-ready, all tests passed

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-27 03:18:33 +09:00
030132f911 Phase 10: TLS/SFC aggressive cache tuning (syscall reduction failed)
Goal: Reduce backend transitions by increasing frontend hit rate
Result: +2% best case, syscalls unchanged (root cause: SuperSlab churn)

Implementation:

1. Cache capacity expansion (2-8x per-class)
   - Hot classes (C0-C3): 4x increase (512 slots)
   - Medium classes (C4-C6): 2-3x increase
   - Class 7 (1KB): 2x increase (128 slots)
   - Fast cache: 2x default capacity

2. Refill batch size increase (4-8x)
   - Global default: 16 → 64 (4x)
   - Hot classes: 128 (8x) via HAKMEM_TINY_REFILL_COUNT_HOT
   - Mid classes: 96 (6x) via HAKMEM_TINY_REFILL_COUNT_MID
   - Class 7: 64 → 128 (2x)
   - SFC refill: 64 → 128 (2x)

3. Adaptive sizing aggressive parameters
   - Grow threshold: 80% → 70% (expand earlier)
   - Shrink threshold: 20% → 10% (shrink less)
   - Growth rate: 2x → 1.5x (smoother growth)
   - Max capacity: 2048 → 4096 (2x ceiling)
   - Adapt frequency: Every 10 → 5 refills (more responsive)

Performance Results (100K iterations):

Before (Phase 9):
- Performance: 9.71M ops/s
- Syscalls: 1,729 (mmap:877, munmap:852)

After (Phase 10):
- Default settings: 8.77M ops/s (-9.7%) ⚠️
- Optimal ENV: 9.89M ops/s (+2%) 
- Syscalls: 1,729 (unchanged) 

Optimal ENV configuration:
export HAKMEM_TINY_REFILL_COUNT_HOT=256
export HAKMEM_TINY_REFILL_COUNT_MID=192

Root Cause Analysis:

Bottleneck is NOT TLS/SFC hit rate, but SuperSlab allocation churn:
- 877 SuperSlabs allocated (877MB via mmap)
- Phase 9 LRU cache not utilized (no frees during benchmark)
- All SuperSlabs retained until program exit
- System malloc: 9 syscalls vs HAKMEM: 1,729 syscalls (192x gap)

Conclusion:

TLS/SFC tuning cannot solve SuperSlab allocation policy problem.
Next step: Phase 11 SuperSlab Prewarm strategy to eliminate
mmap/munmap during benchmark execution.

ChatGPT review: Strategy validated, Option A (Prewarm) recommended.

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-13 14:25:54 +09:00
1da8754d45 CRITICAL FIX: TLS 未初期化による 4T SEGV を完全解消
**問題:**
- Larson 4T で 100% SEGV (1T は 2.09M ops/s で完走)
- System/mimalloc は 4T で 33.52M ops/s 正常動作
- SS OFF + Remote OFF でも 4T で SEGV

**根本原因: (Task agent ultrathink 調査結果)**
```
CRASH: mov (%r15),%r13
R15 = 0x6261  ← ASCII "ba" (ゴミ値、未初期化TLS)
```

Worker スレッドの TLS 変数が未初期化:
- `__thread void* g_tls_sll_head[TINY_NUM_CLASSES];`  ← 初期化なし
- pthread_create() で生成されたスレッドでゼロ初期化されない
- NULL チェックが通過 (0x6261 != NULL) → dereference → SEGV

**修正内容:**
全 TLS 配列に明示的初期化子 `= {0}` を追加:

1. **core/hakmem_tiny.c:**
   - `g_tls_sll_head[TINY_NUM_CLASSES] = {0}`
   - `g_tls_sll_count[TINY_NUM_CLASSES] = {0}`
   - `g_tls_live_ss[TINY_NUM_CLASSES] = {0}`
   - `g_tls_bcur[TINY_NUM_CLASSES] = {0}`
   - `g_tls_bend[TINY_NUM_CLASSES] = {0}`

2. **core/tiny_fastcache.c:**
   - `g_tiny_fast_cache[TINY_FAST_CLASS_COUNT] = {0}`
   - `g_tiny_fast_count[TINY_FAST_CLASS_COUNT] = {0}`
   - `g_tiny_fast_free_head[TINY_FAST_CLASS_COUNT] = {0}`
   - `g_tiny_fast_free_count[TINY_FAST_CLASS_COUNT] = {0}`

3. **core/hakmem_tiny_magazine.c:**
   - `g_tls_mags[TINY_NUM_CLASSES] = {0}`

4. **core/tiny_sticky.c:**
   - `g_tls_sticky_ss[TINY_NUM_CLASSES][TINY_STICKY_RING] = {0}`
   - `g_tls_sticky_idx[TINY_NUM_CLASSES][TINY_STICKY_RING] = {0}`
   - `g_tls_sticky_pos[TINY_NUM_CLASSES] = {0}`

**効果:**
```
Before: 1T: 2.09M   |  4T: SEGV 💀
After:  1T: 2.41M   |  4T: 4.19M   (+15% 1T, SEGV解消)
```

**テスト:**
```bash
# 1 thread: 完走
./larson_hakmem 2 8 128 1024 1 12345 1
→ Throughput = 2,407,597 ops/s 

# 4 threads: 完走(以前は SEGV)
./larson_hakmem 2 8 128 1024 1 12345 4
→ Throughput = 4,192,155 ops/s 
```

**調査協力:** Task agent (ultrathink mode) による完璧な根本原因特定

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-07 01:27:04 +09:00
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.

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-05 12:31:14 +09:00