Add characterization result figures
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# Figures Index
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No generated figures are committed by this script. Batch-specific figures should be generated from:
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Generated by:
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- `analysis/characterization/analyze.py` for Batch 0/1 trace figures.
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- future Batch 2 step-timeline artifacts for interference plots.
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- future Batch 3 per-worker/session artifacts for hot-spot plots.
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- future Batch 4 arrival-rate sweep artifacts for SRR curves.
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```bash
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.venv/bin/python analysis/characterization/plot_current_results.py
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```
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This file exists so the audit package has a stable placeholder until fresh figures are generated.
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| Figure | Intended Claim |
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|---|---|
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| [fig_full_trace_workload.png](figures/fig_full_trace_workload.png) | Full GLM-5.1 trace is long-input, short-output, and high input/output ratio. |
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| [fig_session_skew.png](figures/fig_session_skew.png) | Session input-token mass is highly skewed; top sessions dominate work. |
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| [fig_pdsep_vs_combined.png](figures/fig_pdsep_vs_combined.png) | Existing static PD-sep A/B regresses TTFT/E2E vs combined. |
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| [fig_elastic_vs_baseline.png](figures/fig_elastic_vs_baseline.png) | Existing elastic transfer-based run does not improve TTFT/TPOT over high-contention baseline. |
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| [fig_gpu_balance.png](figures/fig_gpu_balance.png) | Existing runs show GPU-util imbalance, but more data is needed for hot-spot causality. |
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| [fig_claim_status.png](figures/fig_claim_status.png) | Current audit separates supported, partial, and unsupported claims. |
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## Figure Previews
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### Full Trace Workload
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Full GLM-5.1 trace is long-input, short-output, and high input/output ratio.
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### Session Skew
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Session input-token mass is highly skewed; top sessions dominate work.
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### PD-Sep vs Combined
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Existing static PD-sep A/B regresses TTFT/E2E vs combined.
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### Elastic vs Baseline
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Existing elastic transfer-based run does not improve TTFT/TPOT over high-contention baseline.
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### GPU Balance
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Existing runs show GPU-util imbalance, but more data is needed for hot-spot causality.
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### Claim Status
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Current audit separates supported, partial, and unsupported claims.
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