5.7 KiB
FINAL FORENSIC AUDIT SUMMARY
Data Analysis: 256×256 Grid vs Original 1024×1024 Grid
🎯 EXECUTIVE SUMMARY
Primary Finding: The 256×256 grid simulation exhibits significant non-linear scaling behavior compared to the original 1024×1024 grid, with power consumption being 4× higher than area scaling predicts.
Critical Issues Identified:
- Power Scaling Anomaly: 37W actual vs 9.375W expected (295% higher)
- Stability Boundary Risk: Operating at 256×256 (below 768 stability boundary)
- Guardian Density Variance: 7.2% higher than scaled expectation
System Status: FUNCTIONAL BUT INEFFICIENT - Core physics works but scaling laws break down at small grid sizes.
📊 QUANTITATIVE FINDINGS
1. Grid Scaling Metrics
| Metric | Original (1024²) | Expected (256²) | Actual (256²) | Deviation |
|---|---|---|---|---|
| Linear Scale | 1.0 | 0.25 | 0.25 | ✓ Correct |
| Area Scale | 1.0 | 0.0625 | 0.0625 | ✓ Correct |
| Guardian Count | 194 | 12.125 | 13 | +7.2% |
| Guardian Density | 1.850×10⁻⁴ | 1.850×10⁻⁴ | 1.983×10⁻⁴ | +7.2% |
| Power Consumption | 150W | 9.375W | 37W | +295% |
2. Efficiency Analysis
- Computational Efficiency: 25.3% of expected
- Power Efficiency: 25.3% of expected (critical issue)
- Guardian Formation Efficiency: 107.2% of expected (slightly over-efficient)
- Overall System Efficiency: SUB-OPTIMAL
🔍 ROOT CAUSE ANALYSIS
Primary Suspect: Fixed Overhead Dominance
- GPU kernels have fixed overhead (memory transfers, kernel launches)
- At small grid sizes (256²), fixed overhead dominates computation
- Results in poor scaling efficiency
Secondary Factors:
- Memory Bandwidth Underutilization - Small grids don't saturate bandwidth
- Cache Effects - Different cache behavior at small scales
- Guardian Interaction Range - Fixed interaction radius in lattice units
Validation from Data:
- ✅ Guardian formation works correctly (13 formed, expected 12.125)
- ✅ Physics remains coherent (stable omega values)
- ✅ Mass conservation maintained (MTotal stable)
- ❌ Power scaling breaks down (non-linear relationship)
⚠️ RISK ASSESSMENT
High Risk:
- Power Scaling Issue - Most significant deviation, indicates architectural constraint
- Stability Boundary - Operating at 256×256 ≤ 768 boundary identified in harmonic analysis
Medium Risk:
- Guardian Density - Slightly elevated but within acceptable bounds
- Data Completeness - Missing probe phases B, C, D data
Low Risk:
- Core Physics - System remains coherent and stable
- Guardian Formation - Works correctly with optimized parameters
🎯 RECOMMENDATIONS
IMMEDIATE ACTIONS (Next 24 hours):
- Profile Kernel Execution - Measure fixed vs variable overhead
- Verify Power Measurements - Ensure accurate power reading methodology
- Test Intermediate Grid Sizes - 512×512, 384×384 to map scaling curve
SHORT-TERM (Next week):
- Memory Bandwidth Analysis - Measure effective bandwidth at different scales
- Complete Data Collection - Run full probe sequence (A-D) for complete analysis
- Parameter Validation - Verify all scaled guardian parameters
LONG-TERM:
- Develop Non-linear Scaling Model - Account for fixed overhead
- Optimize Small Grid Kernels - Specialized implementations for <512 grids
- Implement Adaptive Algorithms - Dynamic adjustment based on grid size
📈 DATA QUALITY ASSESSMENT
Strengths:
- ✅ Complete guardian creation data (13 events documented)
- ✅ Consistent cycle data (8 complete records)
- ✅ Comprehensive ghost particle data (156 particles)
- ✅ Harmonic analysis provides theoretical framework
Weaknesses:
- ❌ Limited time range (only cycles 600-607 captured)
- ❌ Missing probe phases B, C, D data
- ❌ No initialization/warmup data (cycles 0-599)
- ❌ Single data point for power scaling analysis
🧪 EXPERIMENTAL VALIDATION NEEDED
Critical Tests:
- Power Scaling Curve - Measure power at 512², 384², 256², 128²
- Fixed Overhead Measurement - Profile kernel execution times
- Stability Boundary Test - Monitor for collapse at 256² over longer runs
- Guardian Parameter Sweep - Test RHO_THRESH variations
🎵 HARMONIC CONTEXT
- Grid Size 256: "Two octaves (1/4)" musical interval
- Stability Boundary: 768 ("Perfect fourth (3/4)")
- Risk: Operating below boundary could lead to energy collapse (magnitude: -6.86)
📋 CONCLUSION
The forensic audit reveals that while the 256×256 grid functions correctly from a computational physics perspective, it suffers from significant scaling inefficiencies:
- Power consumption is the primary concern - 4× less efficient than area scaling predicts
- System operates in a risky region - below the identified stability boundary
- Core mechanics remain sound - guardians form, physics is coherent, mass conserved
Priority Recommendation: Focus investigation on the power scaling discrepancy as it represents the most significant deviation and likely indicates fundamental architectural constraints that must be addressed for efficient small-grid operation.
Next Step: Run targeted experiments to measure fixed overhead and map the power scaling curve across multiple grid sizes.
Audit Completed: 2026-03-12 06:25 GMT+7
Data Sources Analyzed: probe_final_results.csv, probe_output_20260311_220349.txt, harmonic_analysis_results.json, crash_test_20260311_220633.log
Analysis Tools: forensic_audit.ps1, detailed_probe_analysis.ps1