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L8 JACQUARD MODE SELECTOR VALIDATION EXPERIMENT
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IMPLEMENTED: 2025-11-26

PURPOSE:
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Validate the data-driven L8 Jacquard architecture by comparing dynamic adaptive
mode switching against static optimal configurations from the 2^7 DoE analysis.

EXPERIMENTAL DESIGN:
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Type:           8×5 Factorial Design
Strategies:     8 (L8_ADAPTIVE + 7 static configs)
Workloads:      5 (STABLE, DIVERSE, VOLATILE, TEMPORAL, TRANSITION)
Replicates:     User-specified (recommended: 50)
Total Runs:     8 × 5 × N = 40N runs

CONTROL STRATEGIES:
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1. L8_ADAPTIVE          - Dynamic mode switching (NEW)
2. C0_BASELINE          - All off except L7
3. C4_TEMPORAL          - DoE top 5% rank #6 (0010001)
4. C7_FULL_INF          - DoE top 5% ranks #2,#3 (0010111)
5. C9_DIVERSE_DECAY     - DoE top 5% rank #5 (0100011)
6. C11_DIVERSE_INF      - DoE top 5% rank #4 (0100110)
7. C12_DIVERSE_TEMPORAL - DoE top 5% rank #1 (0110001)
8. ALL_ON               - Everything except L1/L4

WORKLOAD TYPES:
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1. STABLE       - Fibonacci, factorial (predictable, low entropy/CV)
2. DIVERSE      - Mixed ops, strings, stack churn (high entropy)
3. VOLATILE     - Random branching, nested conditionals (high CV)
4. TEMPORAL     - Nested loops, hot words (strong locality)
5. TRANSITION   - Phase shifts: STABLE→DIVERSE→VOLATILE (adaptability test)

FILES CREATED:
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experiments/l8_validation/
├── run_l8_validation.sh              - Main experiment runner
├── README.md                         - Detailed documentation
└── EXPERIMENT_SUMMARY.txt            - This file

conf/
├── init-l8-stable.4th                - STABLE workload
├── init-l8-diverse.4th               - DIVERSE workload
├── init-l8-volatile.4th              - VOLATILE workload
├── init-l8-temporal.4th              - TEMPORAL workload
└── init-l8-transition.4th            - TRANSITION workload

HYPOTHESES:
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H1: L8 matches best static per workload (≤5% margin)
H2: L8 shows lowest overall CV (stability)
H3: L8 modes correlate with workload characteristics
H4: L8 dominates on TRANSITION workload (adaptability)

QUICK START:
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cd experiments/l8_validation

# Quick test (10 reps, ~8 min)
./run_l8_validation.sh 10

# Standard (50 reps, ~40 min)
./run_l8_validation.sh 50

# High precision (100 reps, ~80 min)
./run_l8_validation.sh 100

EXPECTED RESULTS:
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If successful, L8 should:
- Match or beat best static config per workload type
- Show lower variance across all workloads combined
- Converge to appropriate modes based on metrics:
  * STABLE     → C0/C4  (low entropy, low CV)
  * DIVERSE    → C9/C11/C12 (high entropy)
  * VOLATILE   → C1/C7  (high CV)
  * TEMPORAL   → C4/C12 (temporal locality)
  * TRANSITION → Adaptive mode switching

DATA-DRIVEN DESIGN RATIONALE:
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Based on 2^7 DoE (300 reps, 38,400 runs):
- L1 disabled: Harmful in 86% of top 5% configs
- L4 disabled: Harmful in 100% of top 5% configs
- L7 enabled:  Beneficial in 71% of top 5% configs
- L2/L3/L5/L6: Workload-dependent (controlled by L8)

Top 5% configs showed clear workload specialization:
- No single static config optimal across all workloads
- Different loop combinations excel for different patterns
- Justifies dynamic L8 mode selection

SUCCESS CRITERIA:
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1. L8 performance within 5% of best static per workload
2. L8 CV < all static configs (pooled across workloads)
3. L8 mode distribution aligns with workload characteristics
4. L8 outperforms all static on TRANSITION workload

NEXT STEPS AFTER EXPERIMENT:
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1. Run R analysis script (to be created)
2. Generate ANOVA interaction plots
3. Analyze L8 mode distribution patterns
4. Compare Pareto frontiers (speed vs stability)
5. Decision: Keep L8 or revert to static optimal

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