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

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

benchmarks/README.md

@@ -0,0 +1,59 @@
+# Benchmarks Catalog
+
+このディレクトリのベンチを用途別に整理しました。各ベンチは System/mimalloc/HAKMEM（直リンク or LD_PRELOAD）の三者比較、もしくは HAKMEM の A/B（環境変数）を想定しています。
+
+## ベンチ種類（バイナリ）
+
+- Tiny Hot（8–64B、ホットパス/LIFO）
+  - `benchmarks/src/tiny/bench_tiny_hot.c`
+  - バイナリ: `bench_tiny_hot_system`, `bench_tiny_hot_hakmem`, `bench_tiny_hot_mi`
+  - 例: `./bench_tiny_hot_hakmem 64 100 60000`
+
+- Random Mixed（16–1024B、単体）
+  - バイナリ: `bench_random_mixed_system`, `bench_random_mixed_hakmem`
+  - 例: `./bench_random_mixed_hakmem 400000 8192 123`
+
+- Mid/Large MT（8–32KiB、マルチスレッド）
+  - バイナリ: `bench_mid_large_mt_system`, `bench_mid_large_mt_hakmem`
+  - 例: `./bench_mid_large_mt_hakmem 4 40000 2048 42`
+
+- VM Mixed（512KB–<2MB、L2.5/L2 の再利用確認）
+  - バイナリ: `bench_vm_mixed_system`, `bench_vm_mixed_hakmem`
+  - 例: `HAKMEM_BIGCACHE_L25=1 HAKMEM_WRAP_TINY=1 ./bench_vm_mixed_hakmem 20000 256 4242`
+
+- Larson（8–128B、mimalloc-bench 派生）
+  - バイナリ: `larson_system`, `larson_mi`, `larson_hakmem`
+  - 例: `./larson_hakmem 2 8 128 1024 1 12345 4`
+
+- Redis-like（16–1024B、アプリ風）
+  - バイナリ: `benchmarks/redis/workload_bench_system`
+  - 直リンク: System のみ。mimalloc/HAKMEM は LD_PRELOAD で比較（HAKMEM は安定化中）。
+
+## マトリクス実行（CSV保存）
+
+- Random Mixed（直リンク）
+  - `benchmarks/scripts/run_random_mixed_matrix.sh [cycles] [ws] [reps]`
+  - 出力: `bench_results/auto/random_mixed_<ts>/results.csv`
+
+- Mid/Large MT（直リンク）
+  - `benchmarks/scripts/run_mid_large_mt_matrix.sh [threads_csv] [cycles] [ws] [reps]`
+  - 出力: `bench_results/auto/mid_large_mt_<ts>/results.csv`
+
+- VM Mixed（L2.5/L2、HAKMEMのL25 A/B）
+  - `benchmarks/scripts/run_vm_mixed_matrix.sh [cycles] [ws] [reps]`
+  - 出力: `bench_results/auto/vm_mixed_<ts>/results.csv`
+
+- Larson（補助）
+  - `scripts/run_larson.sh`（直リンク triad）、`scripts/run_larson_claude.sh`（環境プリセット付き）
+
+## 代表的な環境変数
+
+- HAKMEM_WRAP_TINY=1            → HAKMEM/Tiny を有効化（直リンクベンチ）
+- HAKMEM_TINY_READY=0/1         → Ready List（refill最適化）
+- HAKMEM_TINY_SS_ADOPT=0/1      → publish→adopt 経路
+- HAKMEM_BIGCACHE_L25=0/1       → L2.5（512KB–<2MB）を BigCache にも載せる（A/B）
+
+## 参考出力（短時間ランの目安）
+
+- 直近の短ランのスナップショットは `benchmarks/RESULTS_SNAPSHOT.md` を参照してください。正式な比較は各マトリクススクリプトで reps=5/10・長時間ラン（例: 10s）を推奨します。
+

benchmarks/RESULTS_SNAPSHOT.md

@@ -0,0 +1,37 @@
+# Results Snapshot (short runs)
+
+計測日時: 2025-11-06（短時間ラン、参考値）
+
+## Larson（8–128B, chunks=1024, seed=12345, 2s）
+- system 1T: Throughput ≈ 13.58M ops/s
+- mimalloc 1T: Throughput ≈ 14.54M ops/s
+- HAKMEM 1T: Throughput ≈ 2.20M ops/s
+- system 4T: Throughput ≈ 16.76M ops/s
+- mimalloc 4T: Throughput ≈ 16.76M ops/s
+- HAKMEM 4T: Throughput ≈ 4.19M ops/s
+
+## Tiny Hot（LIFO、batch=100, cycles=60000）
+- 64B: system ≈ 73.13M ops/s, HAKMEM ≈ 24.32M ops/s
+- 32B: HAKMEM ≈ 26.76M ops/s
+
+## Random Mixed（16–1024B, ws=8192）
+- 400k ops: system ≈ 53.82M ops/s, HAKMEM ≈ 4.65M ops/s
+- 300k ops（matrix）: system ≈ 47.7–48.2M ops/s, HAKMEM ≈ 4.31–4.80M ops/s
+
+## Mid/Large MT（8–32KiB, ws=2048）
+- 4T, cycles=40000: system ≈ 8.27M ops/s, HAKMEM ≈ 4.06M ops/s
+- 1T, cycles=20000（matrix）: system ≈ 2.16M ops/s, HAKMEM ≈ 1.59–1.63M ops/s
+- 4T, cycles=20000（matrix）: system ≈ 6.22M ops/s（HAKMEMは要取得）
+
+## VM Mixed（512KB–<2MB, ws=256, cycles=20000）
+- system: ≈ 0.95–1.03M ops/s
+- HAKMEM（L25=0）: ≈ 263k–268k ops/s
+- HAKMEM（L25=1）: ≈ 235k ops/s
+
+注意:
+- 上記は短時間のスモーク値。公式比較は `benchmarks/scripts/*_matrix.sh` で reps=5/10, 長時間（例: 10s）推奨。
+- 出力CSVの例:
+  - random_mixed: `bench_results/auto/random_mixed_20251106_100710/results.csv`
+  - mid_large_mt: `bench_results/auto/mid_large_mt_20251106_100710/results.csv`
+  - vm_mixed:     `bench_results/auto/vm_mixed_20251106_100709/results.csv`
+

benchmarks/scripts/run_larson_matrix.sh

@@ -0,0 +1,68 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Larson triad (system/mimalloc/HAKMEM), CSV保存
+# Usage: benchmarks/scripts/run_larson_matrix.sh [dur_csv] [threads_csv] [reps]
+#        dur_csv default: 2,10  threads_csv default: 1,4  reps default: 5
+
+ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/../.. && pwd)"
+cd "$ROOT_DIR"
+
+dur_csv=${1:-"2,10"}
+thr_csv=${2:-"1,4"}
+reps=${3:-5}
+
+MIN=8; MAX=128; CHUNKS=1024; ROUNDS=1; SEED=12345
+MI_LIB_DEFAULT="mimalloc-bench/extern/mi/out/release/libmimalloc.so"
+MI_LIB="${MIMALLOC_SO:-$MI_LIB_DEFAULT}"
+
+[[ -x ./larson_system ]] || make -s larson_system >/dev/null
+if [[ -f "$MI_LIB" ]]; then
+  [[ -x ./larson_mi ]] || make -s larson_mi >/dev/null
+  HAVE_MI=1
+else
+  HAVE_MI=0
+fi
+[[ -x ./larson_hakmem ]] || make -s larson_hakmem >/dev/null
+
+TS=$(date +%Y%m%d_%H%M%S)
+OUTDIR="bench_results/auto/larson_${TS}"
+mkdir -p "$OUTDIR"
+CSV="$OUTDIR/results.csv"
+echo "ts,scenario,dur_s,threads,allocator,env,rep,throughput_ops_s" >"$CSV"
+
+IFS=',' read -ra DLIST <<<"$dur_csv"
+IFS=',' read -ra TLIST <<<"$thr_csv"
+
+extract_ops_s() {
+  awk '/Throughput =/{print $3}' | tail -n1
+}
+
+run_case() {
+  local dur="$1"; shift
+  local thr="$1"; shift
+  local alloc="$1"; shift
+  local envstr="$1"; shift
+  local rep="$2"; shift
+  local ts=$(date +%H%M%S)
+  local out
+  out=$($envstr ./larson_${alloc} "$dur" "$MIN" "$MAX" "$CHUNKS" "$ROUNDS" "$SEED" "$thr" 2>/dev/null || true)
+  local tput=$(echo "$out" | extract_ops_s)
+  if [[ -n "${tput:-}" ]]; then
+    echo "$ts,larson,$dur,$thr,$alloc,$(echo "$envstr" | sed 's/,/;/g'),$rep,$tput" >>"$CSV"
+  fi
+}
+
+echo "[info] writing CSV to $CSV"
+for d in "${DLIST[@]}"; do
+  for t in "${TLIST[@]}"; do
+    for ((i=1;i<=reps;i++)); do run_case "$d" "$t" system "env -i" "$i"; done
+    if (( HAVE_MI == 1 )); then
+      for ((i=1;i<=reps;i++)); do run_case "$d" "$t" mi "env -i LD_LIBRARY_PATH=$(dirname "$MI_LIB")" "$i"; done
+    fi
+    for ((i=1;i<=reps;i++)); do run_case "$d" "$t" hakmem "env -i HAKMEM_WRAP_TINY=1" "$i"; done
+  done
+done
+
+echo "[done] $CSV"
+

benchmarks/scripts/run_mid_large_mt_matrix.sh

@@ -0,0 +1,46 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Mid/Large MT (8–32KiB) matrix runner
+# Usage: benchmarks/scripts/run_mid_large_mt_matrix.sh [threads_csv] [cycles] [ws] [reps]
+
+ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/../.. && pwd)"
+cd "$ROOT_DIR"
+
+threads_csv=${1:-"1,4"}
+cycles=${2:-40000}
+ws=${3:-2048}
+reps=${4:-5}
+
+outdir="bench_results/auto/mid_large_mt_$(date +%Y%m%d_%H%M%S)"
+mkdir -p "$outdir"
+csv="$outdir/results.csv"
+echo "ts,scenario,threads,allocator,env,cycles,ws,rep,throughput_ops_s" >"$csv"
+
+IFS=',' read -ra TLIST <<<"$threads_csv"
+
+run_case() {
+  local thr="$1"; shift
+  local alloc="$1"; shift
+  local envstr="$1"; shift
+  local bin="$1"; shift
+  for ((i=1;i<=reps;i++)); do
+    local ts=$(date +%H%M%S)
+    local out
+    out=$($envstr "$bin" "$thr" "$cycles" "$ws" 42 2>/dev/null || true)
+    local tput=$(echo "$out" | awk '/Throughput =/{print $3; exit}')
+    if [[ -n "${tput:-}" ]]; then
+      echo "$ts,mid_large_mt,$thr,$alloc,$(echo "$envstr" | sed 's/,/;/g'),$cycles,$ws,$i,$tput" >>"$csv"
+    fi
+  done
+}
+
+[[ -x ./bench_mid_large_mt_system ]] || make -s bench_mid_large_mt_system >/dev/null
+[[ -x ./bench_mid_large_mt_hakmem ]] || make -s bench_mid_large_mt_hakmem >/dev/null
+
+echo "[info] writing CSV to $csv"
+for t in "${TLIST[@]}"; do
+  run_case "$t" "system" "env -i" ./bench_mid_large_mt_system
+  run_case "$t" "hakmem" "env -i HAKMEM_WRAP_TINY=1" ./bench_mid_large_mt_hakmem
+done
+echo "[done] $csv"

benchmarks/scripts/run_random_mixed_matrix.sh

@@ -0,0 +1,40 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Random mixed (16–1024B) matrix runner
+# Usage: benchmarks/scripts/run_random_mixed_matrix.sh [cycles] [ws] [reps]
+
+ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/../.. && pwd)"
+cd "$ROOT_DIR"
+
+cycles=${1:-1000000}
+ws=${2:-8192}
+reps=${3:-5}
+
+outdir="bench_results/auto/random_mixed_$(date +%Y%m%d_%H%M%S)"
+mkdir -p "$outdir"
+csv="$outdir/results.csv"
+echo "ts,scenario,allocator,env,cycles,ws,rep,throughput_ops_s" >"$csv"
+
+run_case() {
+  local alloc="$1"; shift
+  local envstr="$1"; shift
+  local bin="$1"; shift
+  for ((i=1;i<=reps;i++)); do
+    local ts=$(date +%H%M%S)
+    local out
+    out=$($envstr "$bin" "$cycles" "$ws" 123 2>/dev/null || true)
+    local tput=$(echo "$out" | awk '/Throughput =/{print $3; exit}')
+    if [[ -n "${tput:-}" ]]; then
+      echo "$ts,random_mixed,$alloc,$(echo "$envstr" | sed 's/,/;/g'),$cycles,$ws,$i,$tput" >>"$csv"
+    fi
+  done
+}
+
+[[ -x ./bench_random_mixed_system ]] || make -s bench_random_mixed_system >/dev/null
+[[ -x ./bench_random_mixed_hakmem ]] || make -s bench_random_mixed_hakmem >/dev/null
+
+echo "[info] writing CSV to $csv"
+run_case "system" "env -i" ./bench_random_mixed_system
+run_case "hakmem" "env -i HAKMEM_WRAP_TINY=1" ./bench_random_mixed_hakmem
+echo "[done] $csv"

benchmarks/scripts/run_redis_matrix.sh

@@ -0,0 +1,71 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Redis-style allocator benchmark triad (System/mimalloc/HAKMEM via LD_PRELOAD)
+# Usage: benchmarks/scripts/run_redis_matrix.sh [threads] [cycles] [ops] [reps]
+
+ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/../.. && pwd)"
+cd "$ROOT_DIR"
+
+THREADS=${1:-1}
+CYCLES=${2:-100}
+OPS=${3:-1000}
+REPS=${4:-5}
+
+BENCH="./benchmarks/redis/workload_bench_system"
+MI_LIB_DEFAULT="mimalloc-bench/extern/mi/out/release/libmimalloc.so"
+MI_LIB="${MIMALLOC_SO:-$MI_LIB_DEFAULT}"
+
+if [[ ! -x "$BENCH" ]]; then
+  echo "[error] $BENCH not found or not executable" >&2
+  exit 1
+fi
+
+if [[ ! -f "$MI_LIB" ]]; then
+  echo "[warn] mimalloc .so not found at $MI_LIB (set MIMALLOC_SO) — skipping mi runs" >&2
+  HAVE_MI=0
+else
+  HAVE_MI=1
+fi
+
+# Ensure shared lib exists for HAKMEM LD_PRELOAD
+[[ -f ./libhakmem.so ]] || make -s shared >/dev/null || true
+
+TS=$(date +%Y%m%d_%H%M%S)
+OUTDIR="bench_results/auto/redis_${TS}"
+mkdir -p "$OUTDIR"
+CSV="$OUTDIR/results.csv"
+echo "ts,scenario,allocator,env,threads,cycles,ops,rep,throughput_ops_s" >"$CSV"
+
+extract_ops_s() {
+  # workload_bench prints: "Throughput: 28.97 M ops/sec"
+  # return ops/s as integer
+  awk '/Throughput:/ {print int($2*1000000)}' | tail -n1
+}
+
+run_case() {
+  local alloc="$1"; shift
+  local envstr="$1"; shift
+  local rep="$2"; shift
+  local ts=$(date +%H%M%S)
+  local out
+  out=$($envstr "$BENCH" -t "$THREADS" -c "$CYCLES" -o "$OPS" 2>/dev/null || true)
+  local tput=$(echo "$out" | extract_ops_s)
+  if [[ -n "${tput:-}" ]]; then
+    echo "$ts,redis,$alloc,$(echo "$envstr" | sed 's/,/;/g'),$THREADS,$CYCLES,$OPS,$rep,$tput" >>"$CSV"
+  fi
+}
+
+echo "[info] writing CSV to $CSV"
+# System
+for ((i=1;i<=REPS;i++)); do run_case system "env -i" "$i"; done
+# mimalloc
+if (( HAVE_MI == 1 )); then
+  for ((i=1;i<=REPS;i++)); do run_case mimalloc "env -i LD_PRELOAD=$MI_LIB" "$i"; done
+fi
+# HAKMEM (safer LD flags for tiny-only)
+for ((i=1;i<=REPS;i++)); do \
+  run_case hakmem "env -i LD_PRELOAD=./libhakmem.so HAKMEM_WRAP_TINY=1 HAKMEM_LD_SAFE=1 HAKMEM_TINY_SUPERSLAB=0 HAKMEM_TINY_TRACE_RING=0 HAKMEM_SAFE_FREE=0" "$i"; done
+
+echo "[done] $CSV"
+

benchmarks/scripts/run_vm_mixed_matrix.sh

@@ -0,0 +1,48 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Run VM-mixed (512KB–<2MB) bench across allocators and L25 A/B, save CSV.
+# Usage: benchmarks/scripts/run_vm_mixed_matrix.sh [cycles] [ws] [reps]
+
+ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")"/../.. && pwd)"
+cd "$ROOT_DIR"
+
+cycles=${1:-20000}
+ws=${2:-256}
+reps=${3:-5}
+
+outdir="bench_results/auto/vm_mixed_$(date +%Y%m%d_%H%M%S)"
+mkdir -p "$outdir"
+csv="$outdir/results.csv"
+echo "ts,scenario,allocator,env,cycles,ws,rep,throughput_ops_s" >"$csv"
+
+run_case() {
+  local scenario="$1"; shift
+  local alloc="$1"; shift
+  local envstr="$1"; shift
+  local bin="$1"; shift
+  for ((i=1;i<=reps;i++)); do
+    local ts=$(date +%H%M%S)
+    local out
+    out=$($envstr "$bin" "$cycles" "$ws" 4242 2>/dev/null || true)
+    local tput=$(echo "$out" | awk '/Throughput =/{print $3; exit}')
+    if [[ -n "${tput:-}" ]]; then
+      echo "$ts,$scenario,$alloc,$(echo "$envstr" | sed 's/,/;/g'),$cycles,$ws,$i,$tput" >>"$csv"
+    fi
+  done
+}
+
+# Build benches if needed
+[[ -x ./bench_vm_mixed_system ]] || make -s bench_vm_mixed_system >/dev/null
+[[ -x ./bench_vm_mixed_hakmem ]] || make -s bench_vm_mixed_hakmem >/dev/null
+
+echo "[info] writing CSV to $csv"
+
+# system
+run_case "vm_mixed" "system" "env -i" ./bench_vm_mixed_system
+
+# HAKMEM L25 OFF/ON
+run_case "vm_mixed" "hakmem(l25=0)" "env -i HAKMEM_BIGCACHE_L25=0 HAKMEM_WRAP_TINY=1" ./bench_vm_mixed_hakmem
+run_case "vm_mixed" "hakmem(l25=1)" "env -i HAKMEM_BIGCACHE_L25=1 HAKMEM_WRAP_TINY=1" ./bench_vm_mixed_hakmem
+
+echo "[done] $csv"