Moe Charm (CI)
5ea6c1237b
Tiny: add per-class refill count tuning infrastructure (ChatGPT)
External AI (ChatGPT Pro) implemented hierarchical refill count tuning:
- Move getenv() from hot path to init (performance hygiene)
- Add per-class granularity: global → hot/mid → per-class precedence
- Environment variables:
* HAKMEM_TINY_REFILL_COUNT (global default)
* HAKMEM_TINY_REFILL_COUNT_HOT (classes 0-3)
* HAKMEM_TINY_REFILL_COUNT_MID (classes 4-7)
* HAKMEM_TINY_REFILL_COUNT_C{0..7} (per-class override)
Performance impact: Neutral (no tuning applied yet, default=16)
- Larson 4-thread: 4.19M ops/s (unchanged)
- No measurable overhead from init-time parsing
Code quality improvement:
- Better separation: hot path reads plain ints (no syscalls)
- Future-proof: enables A/B testing per size class
- Documentation: ENV_VARS.md updated
Note: Per Ultrathink's advice, further tuning deferred until bottleneck
visualization (superslab_refill branch analysis) is complete.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: ChatGPT <external-ai@openai.com>
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