Phase 4-Step1: Add PGO workflow automation (+6.25% performance)
Implemented automated Profile-Guided Optimization workflow using Box pattern:
Performance Improvement:
- Baseline: 57.0 M ops/s
- PGO-optimized: 60.6 M ops/s
- Gain: +6.25% (within expected +5-10% range)
Implementation:
1. scripts/box/pgo_tiny_profile_config.sh - 5 representative workloads
2. scripts/box/pgo_tiny_profile_box.sh - Automated profile collection
3. Makefile PGO targets:
- pgo-tiny-profile: Build instrumented binaries
- pgo-tiny-collect: Collect .gcda profile data
- pgo-tiny-build: Build optimized binaries
- pgo-tiny-full: Complete workflow (profile → collect → build → test)
4. Makefile help target: Added PGO instructions for discoverability
Design:
- Box化: Single responsibility, clear contracts
- Deterministic: Fixed seeds (42) for reproducibility
- Safe: Validation, error detection, timeout protection (30s/workload)
- Observable: Progress reporting, .gcda verification (33 files generated)
Workload Coverage:
- Random mixed: 3 working set sizes (128/256/512 slots)
- Tiny hot: 2 size classes (16B/64B)
- Total: 5 workloads covering hot/cold paths
Documentation:
- PHASE4_STEP1_COMPLETE.md - Completion report
- CURRENT_TASK.md - Phase 4 roadmap (Step 1 complete ✓)
- docs/design/PHASE4_TINY_FRONT_BOX_DESIGN.md - Complete Phase 4 design
Next: Phase 4-Step2 (Hot/Cold Path Box, target +10-15%)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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