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compare-feat-import-bench-bal-tooling@[email protected]
<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>compare ; feat/import-bench-bal-tooling@02a5663c vs perf/bal-lazy-cursor@bc56bf83</title>
<script src="https://cdn.plot.ly/plotly-2.35.2.min.js"></script>
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<div class="wrap">
<header>
<h1>feat/import-bench-bal-tooling@02a5663c<span class="vs">vs</span>perf/bal-lazy-cursor@bc56bf83</h1>
</header>
<div class="meta">
<div class="side"><span class="tag" style="background:#64748b">A</span><code>feat/import-bench-bal-tooling</code> ; <code>02a5663cd8fc</code> ; v12.0.0 ; blocks=459 ; wall 8.58s<br><span class="muted">/data2/edgar/work/tmp/runs/feat-import-bench-bal-tooling-20260519-100200.log</span></div>
<div class="side"><span class="tag" style="background:#2563eb">B</span><code>perf/bal-lazy-cursor</code> ; <code>bc56bf836bcb</code> ; v12.0.0 ; blocks=459 ; wall 6.85s<br><span class="muted">/data2/edgar/work/tmp/runs/perf-bal-lazy-cursor-20260519-101727.log</span></div>
</div>
<div class="kpis"><div class="kpi"><div class="kpi-label">wall time (s)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">8.575</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">6.847</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -20.1% <span class="muted">(-1.73)</span></div></div><div class="kpi"><div class="kpi-label">avg Ggas/s</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">3.892</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">4.998</div></div></div><div class="kpi-delta" style="color:#047857">&uarr; +28.4% <span class="muted">(+1.11)</span></div></div><div class="kpi"><div class="kpi-label">agg Ggas/s</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">3.901</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">5.024</div></div></div><div class="kpi-delta" style="color:#047857">&uarr; +28.8% <span class="muted">(+1.12)</span></div></div><div class="kpi"><div class="kpi-label">avg ms / block (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">16.884</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">13.111</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -22.3% <span class="muted">(-3.77)</span></div></div><div class="kpi"><div class="kpi-label">median ms (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">16.860</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">13.050</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -22.6% <span class="muted">(-3.81)</span></div></div><div class="kpi"><div class="kpi-label">p95 ms (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">17.730</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">14.072</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -20.6% <span class="muted">(-3.66)</span></div></div><div class="kpi"><div class="kpi-label">validate avg (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">0.165</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">0.155</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -5.7% <span class="muted">(-0.01)</span></div></div><div class="kpi"><div class="kpi-label">exec avg (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">15.574</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">11.888</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -23.7% <span class="muted">(-3.69)</span></div></div><div class="kpi"><div class="kpi-label">merkle avg (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">0.479</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">0.438</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -8.6% <span class="muted">(-0.04)</span></div></div><div class="kpi"><div class="kpi-label">store avg (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">0.667</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">0.631</div></div></div><div class="kpi-delta" style="color:#047857">&darr; -5.4% <span class="muted">(-0.04)</span></div></div><div class="kpi"><div class="kpi-label">warmer avg (ms)</div><div class="kpi-row"><div class="kpi-side"><div class="kpi-tag">A</div><div class="kpi-num">1.365</div></div><div class="kpi-side"><div class="kpi-tag">B</div><div class="kpi-num">1.367</div></div></div><div class="kpi-delta" style="color:#64748b">&uarr; +0.1% <span class="muted">(+0.00)</span></div></div></div>
<div class="grid cols-2">
<div class="card">
<h2>Per-block latency (ms)</h2>
<div class="desc">Overlay of total per-block ms.</div>
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</div>
<div class="card">
<h2>Per-block throughput (Ggas/s)</h2>
<div class="desc">Overlay of reported Ggas/s.</div>
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</div>
<div class="card" style="margin-top:16px">
<h2>Per-block delta (B - A, ms)</h2>
<div class="desc">Green = B faster, red = B slower. Aligned by sequence index, not block number.</div>
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<h2>Latency distribution</h2>
<div class="desc">Overlaid histograms of per-block ms.</div>
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</div>
<div class="card">
<h2>Phase totals</h2>
<div class="desc">Total ms across the run, per phase. Grouped bars.</div>
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</div>
</div>
<div class="card" style="margin-top:16px">
<h2>Phase distributions</h2>
<div class="desc">Side-by-side box plots per phase.</div>
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</div>
<div class="card" style="margin-top:16px">
<h2>Phase summary (delta)</h2>
<table>
<thead><tr><th>phase</th><th>A avg ms</th><th>B avg ms</th><th>&Delta; ms</th><th>&Delta; %</th><th>total A &rarr; B</th></tr></thead>
<tbody><tr><td><span class="dot" style="background:#64748b"></span>validate</td><td>0.165</td><td>0.155</td><td style="color:#047857">-0.009</td><td style="color:#047857">-5.7%</td><td class="muted">75.7 &rarr; 71.3</td></tr><tr><td><span class="dot" style="background:#2563eb"></span>exec</td><td>15.574</td><td>11.888</td><td style="color:#047857">-3.687</td><td style="color:#047857">-23.7%</td><td class="muted">7148.6 &rarr; 5456.4</td></tr><tr><td><span class="dot" style="background:#8b5cf6"></span>merkle</td><td>0.479</td><td>0.438</td><td style="color:#047857">-0.041</td><td style="color:#047857">-8.6%</td><td class="muted">219.9 &rarr; 200.9</td></tr><tr><td><span class="dot" style="background:#f59e0b"></span>store</td><td>0.667</td><td>0.631</td><td style="color:#047857">-0.036</td><td style="color:#047857">-5.4%</td><td class="muted">306.0 &rarr; 289.5</td></tr><tr><td><span class="dot" style="background:#ec4899"></span>warmer</td><td>1.365</td><td>1.367</td><td style="color:#64748b">+0.002</td><td style="color:#64748b">+0.1%</td><td class="muted">626.7 &rarr; 627.6</td></tr></tbody>
</table>
</div>
<footer>generated by bench-summary.py ; A: feat-import-bench-bal-tooling-20260519-100200.log ; B: perf-bal-lazy-cursor-20260519-101727.log</footer>
</div>
</body>
</html>
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