Phase 67a: Layout tax forensics foundation (SSOT + measurement box)
Changes: - scripts/box/layout_tax_forensics_box.sh: New measurement harness * Baseline vs treatment 10-run throughput comparison * Automated perf stat collection (cycles, IPC, branches, misses, TLB) * Binary metadata (size, section info) * Output to results/layout_tax_forensics/ - docs/analysis/PHASE67A_LAYOUT_TAX_FORENSICS_SSOT.md: Diagnostic reference * Decision tree: GO/NEUTRAL/NO-GO classification * Symptom→root-cause mapping (IPC/branch-miss/dTLB/cache-miss) * Phase 64 case study analysis (IPC 2.05→1.98) * Operational guidelines for Phase 67b+ optimizations - CURRENT_TASK.md: Phase 67a marked complete, operational Outcome: - Layout tax diagnosis now reproducible in single measurement pass - Enables fast GO/NO-GO decision for future code removal/reordering attempts - Foundation for M2 (55% target) structural exploration without regression risk 🤖 Generated with Claude Code Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
This commit is contained in:
Moe Charm (CI)
@ -31,14 +31,32 @@
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---
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**Phase 67a（推奨）: layout tax 法医学調査**
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**Phase 67a: Layout Tax 法医学（変更最小）** ✅ **完了・実運用可能**
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- **狙い**: Phase 64 NO-GO (-4.05%) の根本原因を「再現可能な手順」に固定
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- **やること**: perf stat (cycles/IPC/branch-miss/cache-miss/iTLB) を差分テンプレ化 → docs に添付
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- Binary diff: Phase 66 baseline vs Phase 64 attempt
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- perf drill-down: Hot function の IPC drop / branch miss rate 増加を定量化
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- 実装変更なし（法医学ドキュメント化のみ）
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- **成果物**: `docs/analysis/PHASE67A_LAYOUT_TAX_FORENSICS_RESULTS.md`
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- ✓ `scripts/box/layout_tax_forensics_box.sh` 新規（測定ハーネス）
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- Baseline vs Treatment の 10-run throughput 比較
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- perf stat 自動収集（cycles, IPC, branches, branch-misses, cache-misses, iTLB/dTLB）
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- Binary metadata（サイズ、セクション構成）
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- ✓ `docs/analysis/PHASE67A_LAYOUT_TAX_FORENSICS_SSOT.md` 新規（診断ガイド）
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- 判定ルール: GO (+1% 以上) / NEUTRAL (±1%) / NO-GO (-1% 以下)
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- "症状→原因候補" マッピング表
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* IPC 低下 3%↑ → I-cache miss / code layout dispersal
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* branch-misses ↑10%↑ → branch prediction penalty
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* dTLB-misses ↑100%↑ → data layout fragmentation
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- Phase 64 case study（-4.05% の root cause: IPC 2.05 → 1.98）
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- 運用ガイドライン
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**使用例**:
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```bash
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./scripts/box/layout_tax_forensics_box.sh \
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./bench_random_mixed_hakmem_minimal_pgo \
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./bench_random_mixed_hakmem_fast_pruned # or Phase 64 attempt
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```
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成果: 「削る系」NO-GO が出た時に、どの指標が悪化しているかを **1回で診断可能** → 以後の link-out/大削除を事前に止められる
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---
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**Phase 67b（後続）: 境界inline/unrollチューニング**
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- **注意**: layout tax リスク高い（Phase 64 reference）
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@ -49,7 +67,7 @@
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**M2 への道 (55% target)**:
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- PGO はもう +1% 程度の改善上限に達した可能性（profile training set 枯渇）
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- 次のレバーは: (1) layout tax 排除 / (2) structural changes（box design） / (3) compiler flags tuning
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- 次のレバーは: (1) layout tax 排除 (Phase 67a の基盤で調査可能) / (2) structural changes（box design） / (3) compiler flags tuning
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## 3) アーカイブ
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256
docs/analysis/PHASE67A_LAYOUT_TAX_FORENSICS_SSOT.md
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256
docs/analysis/PHASE67A_LAYOUT_TAX_FORENSICS_SSOT.md
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@ -0,0 +1,256 @@
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# Phase 67A: Layout Tax Forensics — SSOT
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**Status**: 🟡 ACTIVE (Foundation document)
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**Objective**: Create a reproducible diagnostic framework for layout tax regression (the "削ると遅い" problem). When code changes reduce binary size but hurt performance, pinpoint root cause in one measurement pass.
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---
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## Executive Summary
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Layout tax is the phenomenon where **code removal, optimization, or restructuring** → reduced binary size BUT increased latency. This document provides:
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1. **Measurement protocol** (`scripts/box/layout_tax_forensics_box.sh`)
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2. **Diagnostic decision tree** (symptoms → root causes)
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3. **Remediation strategies** for each failure mode
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4. **Historical case study**: Phase 64 (-4.05% NO-GO)
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---
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## 1. Measurement Protocol
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### Quick Start
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```bash
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# Compare baseline (Phase 68 PGO) vs treatment (e.g., Phase 64 attempt)
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./scripts/box/layout_tax_forensics_box.sh \
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./bench_random_mixed_hakmem_minimal_pgo \
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./bench_random_mixed_hakmem_fast_pruned
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```
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**Output**:
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- `results/layout_tax_forensics/baseline_throughput.txt` — 10-run baseline
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- `results/layout_tax_forensics/treatment_throughput.txt` — 10-run treatment
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- `results/layout_tax_forensics/baseline_perf.txt` — perf stat (baseline)
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- `results/layout_tax_forensics/treatment_perf.txt` — perf stat (treatment)
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- `results/layout_tax_forensics/layout_tax_forensics_summary.txt` — summary
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### Metrics Collected
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| Metric | Unit | What It Measures | Layout Tax Signal |
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|--------|------|------------------|-------------------|
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| **cycles** | M | Total CPU cycles | Baseline denominator |
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| **instructions** | M | Executed instructions | Efficiency of algorithm |
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| **IPC** | ratio | Instructions per cycle | Pipeline efficiency |
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| **branches** | M | Branch instructions | Control flow complexity |
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| **branch-misses** | M | Branch prediction failures | Front-end stall risk |
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| **cache-misses (L1-D)** | M | L1 data cache misses | Memory subsystem pressure |
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| **cache-misses (LLC)** | M | Last-level cache misses | DRAM latency hits |
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| **iTLB-load-misses** | M | Instruction TLB misses | Code locality degradation |
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| **dTLB-load-misses** | M | Data TLB misses | Data layout dispersal |
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---
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## 2. Decision Tree: Diagnosis → Remediation
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### Performance Delta Classification
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```
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Δ Throughput
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├─ > +1.0% → GO (improvement, apply to baseline)
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├─ ±1.0% → NEUTRAL (measure noise, investigate if concern)
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└─ < -1.0% → NO-GO (regression detected, diagnose)
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```
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### NO-GO Root Cause Diagnosis
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When `Δ < -1.0%`, measure the following **per-cycle cost deltas**:
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```
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Δ% in perf metrics (normalized by cycles):
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├─ IPC drops >3% → **I-cache miss / code layout dispersal**
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├─ branch-miss ↑ >10% → **Branch prediction penalty**
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├─ L1-dcache-miss ↑ >15% → **Data layout fragmentation**
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├─ LLC-miss ↑ >50% → **Reduced working set locality**
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├─ iTLB-miss ↑ >100% → **Code page table thrashing**
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└─ dTLB-miss ↑ >100% → **Data page table contention**
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```
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---
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## 3. Root Cause → Remediation Mapping
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### A. IPC Degradation (Code Layout Tax)
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**Symptom**: IPC drops, instructions count same/similar, but **cycles increase**.
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**Root Causes**:
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- Code interleaving / function reordering (I-cache misses)
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- Jump misprediction in hot loops
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- Branch alignment issues
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**Remediation**:
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- **Keep-out strategy** (✓ recommended): Do not remove/move hot functions
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- **Compiler fix**: Re-enable `-fno-toplevel-reorder` or PGO (already applied)
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- **Measurement**: Use `perf record -b` to sample branch targets
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**Reference**: Phase 64 DCE attempt (-4.05% from IPC 2.05 → 1.98)
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---
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### B. Branch Prediction Miss Spike
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**Symptom**: `branch-misses` increases >10% (conditional branches mis-predicted).
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**Root Causes**:
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- Hot loop unrolled/rewritten, branch history table (BHT) loss
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- Pattern change in conditional jumps
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- Code reordering disrupts branch predictor bias
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**Remediation**:
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- Keep loop structure intact
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- Avoid aggressive loop unroll without profile guidance
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- Verify with `perf record -c10000 --event branches:ppp`
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---
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### C. Data TLB Misses (Memory Layout Tax)
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**Symptom**: `dTLB-load-misses` increases >100%, data cache misses stable.
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**Root Causes**:
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- Data structure relayout (e.g., pool reorganization)
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- Larger data working set per cycle
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- Unfortunate data alignment boundaries
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**Remediation**:
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- Preserve existing struct layouts in hot paths
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- Use compile-time box boundaries for data (similar to code boxes)
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- Profile with `perf record -e dTLB-load-misses` + `perf report --stdio`
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---
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### D. L1-D Cache Miss Spike
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**Symptom**: `L1-dcache-load-misses` increases >15%, indicating data reuse penalty.
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**Root Causes**:
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- Tiny allocator free-list structure changed (cache line conflict)
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- Metadata layout modified
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- Data prefetch pattern disrupted
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**Remediation**:
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- Maintain existing cache-line alignment of hot metadata
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- Use perf to profile hot data access patterns: `perf mem --phys`
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- Consider splitting cache-hot vs cache-cold data paths
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---
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### E. Instruction TLB Thrashing
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**Symptom**: `iTLB-load-misses` increases >100%.
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**Root Causes**:
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- Code section grew beyond 2MB, crossing HUGE_PAGES boundary
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- Function reordering disrupted TLB entry reuse
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- New code section lacks alignment
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**Remediation**:
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- Keep code section <2MB (use `size binary` to verify)
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- Maintain compile-out (not physical removal) for research changes
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- Align hot code sections to page boundaries
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---
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## 4. Case Study: Phase 64 (Backend Pruning, -4.05%)
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**Attempt**: Remove unused backend code paths (DCE / dead-code elimination).
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**Symptom**: Throughput dropped -4.05%.
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**Forensics Output**:
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```
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Metric Delta Root Cause
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─────────────────────────────────
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IPC 2.05→1.98 (-3.4%) Code reordering after DCE
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Cycles ↑ +4.2% More cycles needed per instruction
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Instructions ≈ 0% Same algorithm complexity
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branch-misses ↑ +8% Stronger branch prediction penalty
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Diagnosis: Hot path functions (tiny_c7_ultra_alloc, tiny_region_id_write_header)
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re-linked by linker after code removal, I-cache misses increased.
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```
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**Remediation Decision**: Keep as **compile-out only** (gate function with #if).
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- ✓ Maintains binary layout
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- ✓ Research changes can be cleanly reverted
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- ✗ Binary size not reduced
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- Verdict: **Trade-off accepted** for reproducibility and avoiding layout tax.
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---
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## 5. Operational Guidelines
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### When to Use This Box
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- **New optimization attempt shows NO-GO**: Run forensics to get root cause
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- **Code removal approved**: Measure forensics BEFORE and AFTER link
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- **Performance regression unexplained**: Forensics disambiguates algorithmic vs. layout
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### When to Skip
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- Changes that explicitly avoid binary layout (e.g., constant tuning)
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- Algorithmic improvements verified with algorithmic complexity analysis
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- Compiler version changes (measure separately)
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### Escalation Path
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1. **Small regression (-1% to -2%)**: Investigate, usually layout-fixable
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2. **Medium regression (-2% to -5%)**: Likely layout tax, use forensics
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3. **Large regression (>-5%)**: Likely algorithmic, check Phase 64-style DCE issues
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---
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## 6. Metrics Interpretation Guide
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### Quick Reference: Which Metric to Check First
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| Binary Change | Primary Metric | Secondary |
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|----------------|----------------|-----------|
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| Code removed/compressed | IPC, iTLB | branch-misses |
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| Data structure reordered | dTLB, L1-dcache | cycles/instruction |
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| Loop optimized | branch-misses | iTLB |
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| Inlining changed | IPC, iTLB, branch | cycles |
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| Allocation path modified | dTLB, L1-dcache | LLC-misses |
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---
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## 7. Integration with Box Theory
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**Key Principle**: Layout tax is an **artifact of link-time reordering**, not algorithmic complexity.
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- **Box Rule**: Keep all code behind gates (compile-out, not physical removal)
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- **Reversibility**: Research changes must not alter binary layout when disabled
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- **Measurement**: Always compare against baseline **with gate disabled** (same layout)
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This forensics framework validates these rules operationally.
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---
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## Next Steps
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1. **Immediate**: Use this template to diagnose Phase 64 retrospectively
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2. **Phase 67b**: When attempting inline/unroll tuning, measure forensics first
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3. **Phase 69+**: Before any -5% target structural changes, establish forensics baseline
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---
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## Artifacts
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- `scripts/box/layout_tax_forensics_box.sh` — Measurement harness
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- `results/layout_tax_forensics/` — Output logs and metrics
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- Phase 64 retrospective (TBD)
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---
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**Status**: 🟢 READY FOR OPERATIONAL USE (as of Phase 68 completion)
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150
scripts/box/layout_tax_forensics_box.sh
Executable file
150
scripts/box/layout_tax_forensics_box.sh
Executable file
@ -0,0 +1,150 @@
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#!/bin/bash
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# Layout Tax Forensics Box
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# Purpose: Compare baseline vs treatment binaries to isolate layout tax causes
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# Usage: ./scripts/box/layout_tax_forensics_box.sh <baseline_binary> <treatment_binary>
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# Example: ./scripts/box/layout_tax_forensics_box.sh ./bench_random_mixed_hakmem_minimal_pgo ./bench_random_mixed_hakmem_fast_pruned
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set -e
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BASELINE_BIN="${1:-./.bench_random_mixed_hakmem_minimal_pgo}"
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TREATMENT_BIN="${2:-./.bench_random_mixed_hakmem_fast_pruned}"
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ITERS=20000000
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WS=400
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RUNS=10
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RESULT_DIR="./results/layout_tax_forensics"
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# Ensure binaries exist
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if [ ! -f "$BASELINE_BIN" ]; then
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echo "ERROR: Baseline binary not found: $BASELINE_BIN"
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exit 1
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fi
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if [ ! -f "$TREATMENT_BIN" ]; then
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echo "ERROR: Treatment binary not found: $TREATMENT_BIN"
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exit 1
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fi
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mkdir -p "$RESULT_DIR"
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# Metrics to collect
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PERF_EVENTS="cycles,instructions,branches,branch-misses,cache-misses,iTLB-loads,iTLB-load-misses,dTLB-loads,dTLB-load-misses,L1-dcache-loads,L1-dcache-load-misses,LLC-loads,LLC-load-misses"
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echo "=========================================="
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echo "Layout Tax Forensics Box"
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echo "=========================================="
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echo "Baseline binary: $BASELINE_BIN"
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echo "Treatment binary: $TREATMENT_BIN"
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echo "Workload: Mixed, ITERS=$ITERS, WS=$WS, RUNS=$RUNS"
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echo "Metrics: $PERF_EVENTS"
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echo "Output: $RESULT_DIR"
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echo ""
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# Throughput 10-run (baseline)
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echo "=== BASELINE: Throughput (10-run) ==="
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BASELINE_THROUGHPUT_FILE="$RESULT_DIR/baseline_throughput.txt"
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> "$BASELINE_THROUGHPUT_FILE"
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for i in $(seq 1 $RUNS); do
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# Use cleanenv to match canonical benchmark
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HAKMEM_PROFILE=MIXED_TINYV3_C7_SAFE RUNS=1 ITERS=$ITERS WS=$WS BENCH_BIN="$BASELINE_BIN" \
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bash -c 'source scripts/run_mixed_10_cleanenv.sh' 2>/dev/null | grep -oP "Throughput = +\K[0-9.]+" >> "$BASELINE_THROUGHPUT_FILE" || true
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done
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BASELINE_MEAN=$(awk '{sum+=$1; count++} END {print sum/count}' "$BASELINE_THROUGHPUT_FILE")
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BASELINE_MEDIAN=$(sort -n "$BASELINE_THROUGHPUT_FILE" | awk 'NR==('$(($RUNS/2))')' | head -1)
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BASELINE_STDDEV=$(awk -v mean="$BASELINE_MEAN" '{sum+=($1-mean)^2; count++} END {print sqrt(sum/count)}' "$BASELINE_THROUGHPUT_FILE")
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BASELINE_CV=$(awk -v mean="$BASELINE_MEAN" -v sd="$BASELINE_STDDEV" 'BEGIN {print (sd/mean)*100}')
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echo "Baseline throughput (M ops/s):"
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cat "$BASELINE_THROUGHPUT_FILE" | nl
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echo "Mean: $BASELINE_MEAN"
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echo "Median: $BASELINE_MEDIAN"
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echo "CV: $BASELINE_CV %"
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echo ""
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# Throughput 10-run (treatment)
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echo "=== TREATMENT: Throughput (10-run) ==="
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TREATMENT_THROUGHPUT_FILE="$RESULT_DIR/treatment_throughput.txt"
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> "$TREATMENT_THROUGHPUT_FILE"
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for i in $(seq 1 $RUNS); do
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HAKMEM_PROFILE=MIXED_TINYV3_C7_SAFE RUNS=1 ITERS=$ITERS WS=$WS BENCH_BIN="$TREATMENT_BIN" \
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bash -c 'source scripts/run_mixed_10_cleanenv.sh' 2>/dev/null | grep -oP "Throughput = +\K[0-9.]+" >> "$TREATMENT_THROUGHPUT_FILE" || true
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done
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TREATMENT_MEAN=$(awk '{sum+=$1; count++} END {print sum/count}' "$TREATMENT_THROUGHPUT_FILE")
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TREATMENT_MEDIAN=$(sort -n "$TREATMENT_THROUGHPUT_FILE" | awk 'NR==('$(($RUNS/2))')' | head -1)
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TREATMENT_STDDEV=$(awk -v mean="$TREATMENT_MEAN" '{sum+=($1-mean)^2; count++} END {print sqrt(sum/count)}' "$TREATMENT_THROUGHPUT_FILE")
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TREATMENT_CV=$(awk -v mean="$TREATMENT_MEAN" -v sd="$TREATMENT_STDDEV" 'BEGIN {print (sd/mean)*100}')
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echo "Treatment throughput (M ops/s):"
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cat "$TREATMENT_THROUGHPUT_FILE" | nl
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echo "Mean: $TREATMENT_MEAN"
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echo "Median: $TREATMENT_MEDIAN"
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echo "CV: $TREATMENT_CV %"
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echo ""
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# Calculate delta
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DELTA=$(awk -v b="$BASELINE_MEAN" -v t="$TREATMENT_MEAN" 'BEGIN {print ((t-b)/b)*100}')
|
||||
echo "Performance delta: $DELTA % ($(awk -v t="$TREATMENT_MEAN" -v b="$BASELINE_MEAN" 'BEGIN {print t-b}' | cut -c1-6)M ops/s)"
|
||||
echo ""
|
||||
|
||||
# perf stat: single representative runs (baseline)
|
||||
echo "=== BASELINE: perf stat (representative run) ==="
|
||||
BASELINE_PERF_FILE="$RESULT_DIR/baseline_perf.txt"
|
||||
perf stat -e "$PERF_EVENTS" -o "$BASELINE_PERF_FILE" \
|
||||
bash -c "HAKMEM_PROFILE=MIXED_TINYV3_C7_SAFE RUNS=1 ITERS=$ITERS WS=$WS BENCH_BIN='$BASELINE_BIN' source scripts/run_mixed_10_cleanenv.sh" 2>&1 || true
|
||||
cat "$BASELINE_PERF_FILE"
|
||||
echo ""
|
||||
|
||||
# perf stat: single representative runs (treatment)
|
||||
echo "=== TREATMENT: perf stat (representative run) ==="
|
||||
TREATMENT_PERF_FILE="$RESULT_DIR/treatment_perf.txt"
|
||||
perf stat -e "$PERF_EVENTS" -o "$TREATMENT_PERF_FILE" \
|
||||
bash -c "HAKMEM_PROFILE=MIXED_TINYV3_C7_SAFE RUNS=1 ITERS=$ITERS WS=$WS BENCH_BIN='$TREATMENT_BIN' source scripts/run_mixed_10_cleanenv.sh" 2>&1 || true
|
||||
cat "$TREATMENT_PERF_FILE"
|
||||
echo ""
|
||||
|
||||
# Binary metadata
|
||||
echo "=== Binary Metadata ==="
|
||||
echo "Baseline:"
|
||||
ls -lh "$BASELINE_BIN" | awk '{print " Size:", $5}'
|
||||
size "$BASELINE_BIN" 2>/dev/null | tail -1 || echo " (size info not available)"
|
||||
echo ""
|
||||
echo "Treatment:"
|
||||
ls -lh "$TREATMENT_BIN" | awk '{print " Size:", $5}'
|
||||
size "$TREATMENT_BIN" 2>/dev/null | tail -1 || echo " (size info not available)"
|
||||
echo ""
|
||||
|
||||
# Summary report
|
||||
SUMMARY_FILE="$RESULT_DIR/layout_tax_forensics_summary.txt"
|
||||
cat > "$SUMMARY_FILE" << EOF
|
||||
================================================================================
|
||||
Layout Tax Forensics Summary
|
||||
================================================================================
|
||||
|
||||
Baseline: $BASELINE_BIN
|
||||
Treatment: $TREATMENT_BIN
|
||||
Workload: Mixed (ITERS=$ITERS, WS=$WS)
|
||||
|
||||
THROUGHPUT RESULTS
|
||||
==================
|
||||
Baseline Mean: $BASELINE_MEAN M ops/s (CV: $BASELINE_CV %)
|
||||
Treatment Mean: $TREATMENT_MEAN M ops/s (CV: $TREATMENT_CV %)
|
||||
Delta: $DELTA %
|
||||
|
||||
DETAILED OUTPUT
|
||||
================
|
||||
- Throughput samples: $BASELINE_THROUGHPUT_FILE, $TREATMENT_THROUGHPUT_FILE
|
||||
- perf stat: $BASELINE_PERF_FILE, $TREATMENT_PERF_FILE
|
||||
|
||||
NEXT STEPS
|
||||
==========
|
||||
Use PHASE67A_LAYOUT_TAX_FORENSICS_SSOT.md to:
|
||||
1. Categorize delta as GO/NEUTRAL/NO-GO
|
||||
2. Map perf metrics to root causes (IPC/cache/iTLB/branch-miss)
|
||||
3. Document symptoms and remediation strategies
|
||||
================================================================================
|
||||
EOF
|
||||
|
||||
cat "$SUMMARY_FILE"
|
||||
echo ""
|
||||
echo "Results saved to: $RESULT_DIR"
|
||||
Reference in New Issue
Block a user