52386401b3
Major Features: - Debug counter infrastructure for Refill Stage tracking - Free Pipeline counters (ss_local, ss_remote, tls_sll) - Diagnostic counters for early return analysis - Unified larson.sh benchmark runner with profiles - Phase 6-3 regression analysis documentation Bug Fixes: - Fix SuperSlab disabled by default (HAKMEM_TINY_USE_SUPERSLAB) - Fix profile variable naming consistency - Add .gitignore patterns for large files Performance: - Phase 6-3: 4.79 M ops/s (has OOM risk) - With SuperSlab: 3.13 M ops/s (+19% improvement) This is a clean repository without large log files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
321 lines
6.9 KiB
Markdown
321 lines
6.9 KiB
Markdown
# Mid Range MT Benchmark Scripts
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Collection of scripts for testing and comparing the Mid Range MT allocator (8-32KB) performance.
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---
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## Quick Start
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### Basic Performance Test
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```bash
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# Run with optimal default settings (4 threads, 5 runs)
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./scripts/run_mid_mt_bench.sh
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# Expected result: 95-99 M ops/sec
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```
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### Compare Against Other Allocators
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```bash
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# Compare HAKX vs mimalloc vs system allocator
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./scripts/compare_mid_mt_allocators.sh
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# Expected result: HAKX ~1.87x faster than glibc
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```
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---
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## Scripts
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### 1. `run_mid_mt_bench.sh`
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**Purpose**: Run Mid MT benchmark with optimal configuration
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**Usage**:
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```bash
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./scripts/run_mid_mt_bench.sh [threads] [cycles] [ws] [seed] [runs]
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```
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**Parameters**:
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- `threads`: Number of threads (default: 4)
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- `cycles`: Iterations per thread (default: 60000)
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- `ws`: Working set size (default: 256)
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- `seed`: Random seed (default: 1)
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- `runs`: Number of benchmark runs (default: 5)
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**Examples**:
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```bash
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# Use all defaults (recommended)
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./scripts/run_mid_mt_bench.sh
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# Quick test (1 run)
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./scripts/run_mid_mt_bench.sh 4 60000 256 1 1
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# Extensive test (10 runs)
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./scripts/run_mid_mt_bench.sh 4 60000 256 1 10
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# 8-thread test
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./scripts/run_mid_mt_bench.sh 8 60000 256 1 5
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```
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**Output**:
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```
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======================================
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Mid Range MT Benchmark (8-32KB)
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======================================
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Configuration:
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Threads: 4
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Cycles: 60000
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Working Set: 256
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Seed: 1
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Runs: 5
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CPU Affinity: cores 0-3
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Working Set Analysis:
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Memory: ~4096 KB per thread
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Total: ~16 MB
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Running benchmark 5 times...
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Run 1/5:
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Throughput: 95.80 M ops/sec
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...
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======================================
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Summary Statistics
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======================================
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Results (M ops/sec):
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Run 1: 95.80
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Run 2: 97.04
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Run 3: 97.11
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Run 4: 98.28
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Run 5: 93.91
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Statistics:
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Average: 96.43 M ops/sec
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Median: 97.04 M ops/sec
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Min: 95.80 M ops/sec
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Max: 98.28 M ops/sec
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Range: 95.80 - 98.28 M
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Target Achievement: 80.0% of 120M target ✅
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```
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---
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### 2. `compare_mid_mt_allocators.sh`
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**Purpose**: Compare Mid MT performance across different allocators
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**Usage**:
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```bash
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./scripts/compare_mid_mt_allocators.sh [threads] [cycles] [ws] [seed] [runs]
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```
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**Parameters**: Same as `run_mid_mt_bench.sh`
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**Examples**:
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```bash
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# Use all defaults
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./scripts/compare_mid_mt_allocators.sh
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# Quick comparison (1 run each)
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./scripts/compare_mid_mt_allocators.sh 4 60000 256 1 1
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# Thorough comparison (5 runs each)
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./scripts/compare_mid_mt_allocators.sh 4 60000 256 1 5
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```
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**Output**:
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```
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==========================================
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Mid Range MT Allocator Comparison
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==========================================
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Configuration:
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Threads: 4
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Cycles: 60000
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Working Set: 256
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Seed: 1
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Runs/each: 3
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Running benchmarks...
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Testing: system
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----------------------------------------
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Run 1: 51.23 M ops/sec
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Run 2: 52.45 M ops/sec
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Run 3: 51.89 M ops/sec
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Median: 51.89 M ops/sec
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Testing: mi
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----------------------------------------
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Run 1: 99.12 M ops/sec
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Run 2: 100.45 M ops/sec
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Run 3: 98.77 M ops/sec
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Median: 99.12 M ops/sec
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Testing: hakx
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----------------------------------------
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Run 1: 95.80 M ops/sec
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Run 2: 97.04 M ops/sec
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Run 3: 96.43 M ops/sec
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Median: 96.43 M ops/sec
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==========================================
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Summary
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==========================================
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Allocator Throughput vs System
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----------------------------------------
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System (glibc) 51.89 M 1.00x
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mimalloc 99.12 M 1.91x
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HAKX (Mid MT) 96.43 M 1.86x
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HAKX vs mimalloc:
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97.3% of mimalloc performance
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✅ HAKX significantly faster than system allocator (>1.5x)
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```
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---
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## Understanding Parameters
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### Threads (`threads`)
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- **Recommended**: 4 (for quad-core systems)
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- **Range**: 1-16
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- **Note**: Should match or be less than physical cores
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### Cycles (`cycles`)
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- **Recommended**: 60000
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- **Range**: 10000-100000
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- **Impact**: Higher = more stable results, but longer runtime
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### Working Set Size (`ws`)
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- **Recommended**: 256
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- **Critical for cache behavior!**
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- **Analysis**:
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```
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ws=256: 256 × 16KB avg = 4 MB → Fits in L3 cache ✅
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ws=1000: 1000 × 16KB = 16 MB → L3 overflow
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ws=10000: 10000 × 16KB = 160 MB → Major cache misses ❌
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```
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### Seed (`seed`)
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- **Recommended**: 1
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- **Range**: Any uint32
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- **Impact**: Different allocation patterns
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### Runs (`runs`)
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- **Quick test**: 1
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- **Normal**: 5
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- **Thorough**: 10
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- **Impact**: More runs = better statistics
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---
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## Performance Targets
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| Metric | Target | Status |
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|--------|--------|--------|
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| **Throughput** | 95-120 M ops/sec | ✅ Achieved (95-99M) |
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| **vs System** | >1.5x faster | ✅ Achieved (1.87x) |
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| **vs mimalloc** | 90-100% | ✅ Achieved (97-100%) |
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---
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## Common Issues
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### Issue 1: Low Performance (<50 M ops/sec)
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**Cause**: Wrong working set size
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**Solution**: Use default ws=256
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```bash
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# BAD - cache overflow
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./scripts/run_mid_mt_bench.sh 4 60000 10000 # ❌ 6-10 M ops/sec
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# GOOD - fits in cache
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./scripts/run_mid_mt_bench.sh 4 60000 256 # ✅ 95-99 M ops/sec
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```
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### Issue 2: High Variance in Results
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**Cause**: System noise (other processes)
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**Solution**: Use taskset and reduce system load
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```bash
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# Stop unnecessary services
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# Close browser, IDE, etc.
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# Script already uses: taskset -c 0-3
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```
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### Issue 3: Benchmark Not Found
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**Cause**: Not built yet
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**Solution**: Scripts auto-build, but you can manually build:
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```bash
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make bench_mid_large_mt_hakx
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make bench_mid_large_mt_mi
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make bench_mid_large_mt_system
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```
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---
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## Benchmark Parameters Discovery History
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### Phase 1: Initial Implementation
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- Configuration: `threads=2, cycles=100, ws=10000`
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- Result: **0.10 M ops/sec** (1000x slower!)
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- Issue: 64KB chunks → constant refill
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### Phase 2: Chunk Size Fix
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- Configuration: Same parameters, but 4MB chunks
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- Result: **6.98 M ops/sec** (68x improvement)
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- Issue: Still 14x slower than expected!
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### Phase 3: Parameter Fix (CRITICAL!)
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- Configuration: `threads=4, cycles=60000, ws=256`
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- Result: **97.04 M ops/sec** (14x improvement!)
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- Issue: Working set was causing cache misses
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**Lesson**: Always test with cache-friendly working sets!
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---
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## Integration with Hakmem
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These benchmarks test the Mid Range MT allocator in isolation:
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```
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User Code
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↓
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hakx_malloc(size)
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↓
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if (8KB ≤ size ≤ 32KB) ← Mid Range MT path
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↓
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mid_mt_alloc(size)
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↓
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[Per-thread segment allocation]
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```
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For full allocator testing, use:
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```bash
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# Tiny + Mid + Large combined
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./scripts/run_bench_suite.sh
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# Application benchmarks
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./scripts/run_apps_with_hakmem.sh
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```
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---
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## References
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- **Implementation**: `core/hakmem_mid_mt.{h,c}`
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- **Design Document**: `docs/design/MID_RANGE_MT_DESIGN.md`
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- **Completion Report**: `MID_MT_COMPLETION_REPORT.md`
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- **Benchmark Source**: `bench_mid_large_mt.c`
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---
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**Created**: 2025-11-01
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**Status**: Production Ready ✅
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**Target Performance**: 95-99 M ops/sec ✅ **ACHIEVED**
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