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4 Commits

Author SHA1 Message Date
Moe Charm (CI)
093f362231 Add Page Box layer for C7 class optimization 
- Implement tiny_page_box.c/h: per-thread page cache between UC and Shared Pool
- Integrate Page Box into Unified Cache refill path
- Remove legacy SuperSlab implementation (merged into smallmid)
- Add HAKMEM_TINY_PAGE_BOX_CLASSES env var for selective class enabling
- Update bench_random_mixed.c with Page Box statistics

Current status: Implementation safe, no regressions.
Page Box ON/OFF shows minimal difference - pool strategy needs tuning.

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-05 15:31:44 +09:00
Moe Charm (CI)
e7710982f8 Phase 2-Opt1: Force inline range check functions (neutral perf) 
Changes:
- smallmid_is_in_range(): Add __attribute__((always_inline))
- mid_is_in_range(): Add __attribute__((always_inline))

Expected: Reduce function call overhead in Front Gate routing
Result: Neutral performance (~72M ops/s, same as Phase 1 final)

Analysis:
- Compiler was already inlining these simple functions with -O3 -flto
- 36M branches identified by perf are NOT from Front Gate routing
- Most branches are inside allocators (tiny_alloc, free, etc.)
- Front Gate optimization had minimal impact, as predicted

Next: SuperSlab size optimization (clear 3-5% benefit expected)

Files:
- core/hakmem_smallmid.h:116-119
- core/hakmem_mid_mt.h:228-231

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-28 18:14:31 +09:00
Moe Charm (CI)
cdaf117581 Phase 17-1 Revision: Small-Mid Front Box Only (ChatGPT Strategy) 
STRATEGY CHANGE (ChatGPT reviewed):
- Phase 17-1: Build FRONT BOX ONLY (no dedicated SuperSlab backend)
- Backend: Reuse existing Tiny SuperSlab/SharedPool APIs
- Goal: Measure performance impact before building dedicated infrastructure
- A/B test: Does thin front layer improve 256-1KB performance?

RATIONALE (ChatGPT analysis):
1. Tiny/Middle/Large need different properties - same SuperSlab causes conflict
2. Metadata shapes collide - struct bloat → L1 miss increase
3. Learning signals get muddied - size-specific control becomes difficult

IMPLEMENTATION:
- Reduced size classes: 5 → 3 (256B/512B/1KB only)
- Removed dedicated SuperSlab backend stub
- Backend: Direct delegation to hak_tiny_alloc/free
- TLS freelist: Thin front cache (32/24/16 capacity)
- Fast path: TLS hit (pop/push with header 0xb0)
- Slow path: Backend alloc via Tiny (no TLS refill)
- Free path: TLS push if space, else delegate to Tiny

ARCHITECTURE:
  Tiny:      0-255B    (C0-C5, unchanged)
  Small-Mid: 256-1KB   (SM0-SM2, Front Box, backend=Tiny)
  Mid:       8KB-32KB  (existing)

FILES CHANGED:
- hakmem_smallmid.h: Reduced to 3 classes, updated docs
- hakmem_smallmid.c: Removed SuperSlab stub, added backend delegation

NEXT STEPS:
- Integrate into hak_alloc_api.inc.h routing
- A/B benchmark: Small-Mid ON/OFF comparison
- If successful (2x improvement), consider Phase 17-2 dedicated backend

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-16 01:51:43 +09:00
Moe Charm (CI)
993c5419b7 Phase 17-1: Small-Mid Allocator Box - Header and Stub Implementation 
Created:
- core/hakmem_smallmid.h - API and size class definitions
- core/hakmem_smallmid.c - TLS freelist + ENV control (SuperSlab stub)

Design:
- 5 size classes: 256B/512B/1KB/2KB/4KB (SM0-SM4)
- TLS freelist structure (same as Tiny, completely separated)
- Header-based fast free (Phase 7 technology, magic 0xb0)
- ENV control: HAKMEM_SMALLMID_ENABLE=1 for A/B testing
- Dedicated SuperSlab pool (stub, Phase 17-2)

Boundaries:
  Tiny:      0-255B    (C0-C5, unchanged)
  Small-Mid: 256B-4KB  (SM0-SM4, NEW!)
  Mid:       8KB-32KB  (existing)

Implementation Status:
✅ TLS freelist operations (pop/push)
✅ ENV control (smallmid_is_enabled)
✅ Fast alloc (TLS hit path)
✅ Header-based free (0xb0 magic)
🚧 SuperSlab backend (stub, TODO Phase 17-2)

Goal: Bridge Tiny/Mid gap, improve 256B-1KB from 5.5M to 10-20M ops/s

Next: Phase 17-2 - Dedicated SuperSlab backend implementation

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

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-11-16 01:43:29 +09:00