Code changes: - core/slab_handle.h: Add RELEASE guard for HAKMEM_TINY_FREELIST_MASK - core/tiny_superslab_free.inc.h: Add guards for HAKMEM_TINY_ROUTE_FREE, HAKMEM_TINY_FREELIST_MASK Documentation cleanup: - docs/specs/CONFIGURATION.md: Remove 21 doc-only ENV variables - docs/specs/ENV_VARS.md: Remove doc-only variables Testing: - Build: PASS (305KB binary, unchanged) - Sanity: PASS (17.22M ops/s average, 3 runs) - Larson: PASS (52.12M ops/s, 0 crashes) Impact: - 2 additional DEBUG ENV variables guarded (no overhead in RELEASE) - Documentation accuracy improved - Binary size maintained 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
9.5 KiB
HAKMEM Configuration Guide
Last Updated: 2025-11-26 (After Phase 2.2 - Learning Systems Consolidation)
This guide documents all canonical HAKMEM environment variables after Phase 0-2 cleanup.
📋 Quick Reference
Use the validation tool to check your configuration:
# Validate current environment
./scripts/validate_config.sh
# Strict mode (treat warnings as errors)
./scripts/validate_config.sh --strict
# Quiet mode (errors only)
./scripts/validate_config.sh --quiet
Deprecated variables? See DEPRECATED.md for migration guide.
🎯 Core Configuration
Allocator Path Selection
| Variable | Values | Default | Description |
|---|---|---|---|
HAKMEM_WRAP_TINY |
0, 1 | 1 | Enable TINY allocator (1-2048B) |
HAKMEM_WRAP_POOL |
0, 1 | 1 | Enable POOL allocator (2-8KB) |
HAKMEM_WRAP_MID |
0, 1 | 1 | Enable MID allocator (8-32KB) |
HAKMEM_WRAP_LARGE |
0, 1 | 1 | Enable LARGE allocator (>32KB) |
Example:
# Disable all HAKMEM allocators (use system malloc)
export HAKMEM_WRAP_TINY=0 HAKMEM_WRAP_POOL=0 HAKMEM_WRAP_MID=0 HAKMEM_WRAP_LARGE=0
🏗️ SuperSlab Management
Canonical Variables (After P0.1 - SuperSlab Unification):
| Variable | Values | Default | Description |
|---|---|---|---|
HAKMEM_SUPERSLAB_REUSE |
0, 1 | 0 | Reuse empty slabs (reduces mmap/munmap syscalls) |
HAKMEM_SUPERSLAB_LAZY |
0, 1 | 1 | Lazy deallocation (Phase 9, keep slabs cached) |
HAKMEM_SUPERSLAB_PREWARM |
0-128 | 0 | Preallocate N SuperSlabs at startup |
HAKMEM_SUPERSLAB_LRU_CAP |
0-1024 | 256 | Max cached SuperSlabs (LRU eviction) |
HAKMEM_SUPERSLAB_SOFT_CAP |
0-1024 | 128 | Soft cap for SuperSlab pool (before eviction) |
Examples:
# High performance (aggressive reuse + large cache)
export HAKMEM_SUPERSLAB_REUSE=1
export HAKMEM_SUPERSLAB_LAZY=1
export HAKMEM_SUPERSLAB_PREWARM=16
export HAKMEM_SUPERSLAB_LRU_CAP=512
# Low memory footprint (minimal caching)
export HAKMEM_SUPERSLAB_REUSE=0
export HAKMEM_SUPERSLAB_LAZY=0
export HAKMEM_SUPERSLAB_LRU_CAP=32
export HAKMEM_SUPERSLAB_SOFT_CAP=16
Note: Phase 12 (Shared SuperSlab Pool) removed per-class registry population, making SUPERSLAB_REUSE less effective. Default is OFF.
🧠 Learning Systems
Canonical Variables (After P2.2 - Learning Consolidation, 18→6 variables):
Allocation Learning
Controls adaptive sizing for allocator caches (TLS, SFC, capacity tuning).
| Variable | Values | Default | Description |
|---|
Memory Learning
Controls THP (Transparent Huge Pages), RSS optimization, and max-size learning.
| Variable | Values | Default | Description |
|---|
Advanced Overrides
For troubleshooting only - enables legacy advanced knobs that are auto-tuned by default.
| Variable | Values | Default | Description |
|---|
Examples:
# Production (learning disabled, use static tuning)
## 🎯 TINY Allocator (1-2048B)
### TLS Cache Configuration
| Variable | Values | Default | Description |
|----------|--------|---------|-------------|
| `HAKMEM_TINY_TLS_CAP` | 16-1024 | 64 | Per-class TLS cache capacity |
| `HAKMEM_TINY_TLS_REFILL` | 4-256 | 16 | Batch refill size |
| `HAKMEM_TINY_DRAIN_THRESH` | 0-1024 | 128 | Remote free drain threshold |
### Super Front Cache (SFC)
**Note**: SFC is **ACTIVE** and provides 95%+ hit rate for hot allocations.
| Variable | Values | Default | Description |
|----------|--------|---------|-------------|
| `HAKMEM_TINY_SFC_ENABLE` | 0, 1 | 1 | Enable Super Front Cache (ultra-fast TLS cache) |
| `HAKMEM_TINY_SFC_CAPACITY` | 32-512 | 128 | SFC slot count |
| `HAKMEM_TINY_SFC_HOT_CLASSES` | 1-16 | 8 | Number of hot classes to cache |
### P0 Batch Optimization
| Variable | Values | Default | Description |
|----------|--------|---------|-------------|
| `HAKMEM_TINY_P0_ENABLE` | 0, 1 | 1 | Enable P0 batch refill (O(1) freelist pop) |
| `HAKMEM_TINY_P0_BATCH` | 4-128 | 16 | P0 batch size |
| `HAKMEM_TINY_P0_NO_DRAIN` | 0, 1 | 0 | Disable remote drain (debug only) |
| `HAKMEM_TINY_P0_LOG` | 0, 1 | 0 | Enable P0 counter validation logging |
### Header Configuration
| Variable | Values | Default | Description |
|----------|--------|---------|-------------|
| `HAKMEM_TINY_HEADER_CLASSIDX` | 0, 1 | 1 | Store class_idx in header (Phase 7, enables fast free) |
**Examples**:
```bash
# High-throughput (large caches, aggressive batching)
export HAKMEM_TINY_TLS_CAP=256
export HAKMEM_TINY_TLS_REFILL=32
export HAKMEM_TINY_SFC_CAPACITY=256
export HAKMEM_TINY_P0_ENABLE=1
export HAKMEM_TINY_P0_BATCH=32
# Low-latency (small caches, fine-grained refill)
export HAKMEM_TINY_TLS_CAP=32
export HAKMEM_TINY_TLS_REFILL=4
export HAKMEM_TINY_SFC_CAPACITY=64
export HAKMEM_TINY_P0_BATCH=8
# Debug P0 issues
export HAKMEM_TINY_P0_LOG=1
export HAKMEM_TINY_P0_NO_DRAIN=1 # Isolate batch refill from remote free
🏊 Pool TLS Allocator (2-8KB)
Arena Management
| Variable | Values | Default | Description |
|---|---|---|---|
HAKMEM_POOL_TLS_ARENA_MB_INIT |
1-64 | 1 | Initial arena size (MB) |
HAKMEM_POOL_TLS_ARENA_MB_MAX |
1-64 | 8 | Maximum arena size (MB) |
HAKMEM_POOL_TLS_ARENA_GROWTH_LEVELS |
1-8 | 3 | Growth levels (1MB→2MB→4MB→8MB) |
Example:
# Large arena for high-throughput 8KB allocations
export HAKMEM_POOL_TLS_ARENA_MB_INIT=4
export HAKMEM_POOL_TLS_ARENA_MB_MAX=32
export HAKMEM_POOL_TLS_ARENA_GROWTH_LEVELS=5 # 4MB→8MB→16MB→32MB
📊 Statistics & Profiling
| Variable | Values | Default | Description |
|---|
Example:
# Enable stats for performance analysis
🧪 Experimental Features
Warning: These features are experimental and may change or be removed.
| Variable | Values | Default | Description |
|---|
🚀 Quick Start Examples
1. Production (Default Recommended)
# High performance, stable, integrity checks enabled
export HAKMEM_SUPERSLAB_LAZY=1
export HAKMEM_SUPERSLAB_LRU_CAP=256
export HAKMEM_TINY_P0_ENABLE=1
2. Debug Session
# Verbose logging, tracing, integrity checks
export HAKMEM_TRACE_ALLOCATIONS=1
export HAKMEM_TINY_P0_LOG=1
3. Low-Latency Workload
# Small caches, fine-grained batching, minimal syscalls
export HAKMEM_TINY_TLS_CAP=32
export HAKMEM_TINY_TLS_REFILL=4
export HAKMEM_TINY_SFC_CAPACITY=64
export HAKMEM_SUPERSLAB_LAZY=1
export HAKMEM_SUPERSLAB_LRU_CAP=128
4. High-Throughput Workload
# Large caches, aggressive batching, prewarm
export HAKMEM_TINY_TLS_CAP=256
export HAKMEM_TINY_TLS_REFILL=32
export HAKMEM_TINY_SFC_CAPACITY=256
export HAKMEM_TINY_P0_BATCH=32
export HAKMEM_SUPERSLAB_PREWARM=16
export HAKMEM_SUPERSLAB_LRU_CAP=512
5. Memory-Efficient (Low RSS)
# Minimal caching, eager deallocation
export HAKMEM_SUPERSLAB_LAZY=0
export HAKMEM_SUPERSLAB_LRU_CAP=32
export HAKMEM_SUPERSLAB_SOFT_CAP=16
export HAKMEM_TINY_TLS_CAP=32
export HAKMEM_TINY_SFC_CAPACITY=64
export HAKMEM_POOL_TLS_ARENA_MB_MAX=2
✅ Validation & Testing
Validate Configuration
# Check for deprecated/invalid variables
./scripts/validate_config.sh
# Example output:
# Sunset date: 2026-05-26 (6 months from 2025-11-26)
# See DEPRECATED.md for migration guide
#
# [WARN] HAKMEM_TINY_TLS_CAP=2048 is outside typical range (16-1024)
#
# [OK] HAKMEM_SUPERSLAB_LAZY=1
Test Performance
# Baseline (10M iterations, 10 runs recommended)
./out/release/bench_random_mixed_hakmem
# Custom workload
./out/release/bench_random_mixed_hakmem 10000000 256 42
# Multi-threaded (Larson benchmark)
./out/release/larson_hakmem 8 # 8 threads
❓ FAQ
Q: What's the difference between ALLOC_LEARN and MEM_LEARN?
A:
Q: Should I enable learning in production?
A: Generally NO. Learning adds overhead (~5-10%) and is best for:
- Adaptive workloads with unpredictable patterns
- Benchmarking different configurations
- Initial tuning phase (then bake learned values into static config)
For production, use static tuning based on profiling.
Q: Why is SUPERSLAB_REUSE default OFF?
A: Phase 12 (Shared SuperSlab Pool) removed per-class registry population. Reuse is now less effective and can cause fragmentation. Use SUPERSLAB_LAZY=1 (default) instead for syscall reduction.
Q: What's the performance impact of INTEGRITY_CHECKS?
A: ~2-5% overhead. Recommended for production (default ON) to catch memory corruption early. Disable only for performance testing.
Q: How do I migrate from deprecated learning variables?
A: See DEPRECATED.md Section "Learning Systems (P2.2 Consolidation)" for complete mapping of 18→6 variables. The 6-month deprecation period provides backward compatibility.
Q: What's SFC and why is it still active?
A: SFC (Super Front Cache) is an ultra-fast TLS cache (95%+ hit rate, 3-4 instructions). Unified Cache was tested in Phase 3d-B but found slower than SFC, so SFC remained as the active implementation.
📚 See Also
- DEPRECATED.md - Deprecated variables and migration guide
- BUILDING_QUICKSTART.md - Build instructions
- CLAUDE.md - Development history and performance benchmarks
- hakmem_cleanup_proposal.txt - Cleanup roadmap
Generated: 2025-11-26 (Phase 2.2 - Learning Systems Consolidation)