Spaces:
Running on CPU Upgrade
Running on CPU Upgrade
Commit Β·
66772b0
1
Parent(s): bdefa11
add first version of throughput optimization visualization
Browse files
app/src/content/chapters/infrastructure.mdx
CHANGED
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import Image from "../../components/Image.astro";
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import SyDLepVveg_2f81384e_bcac_806f_acb7_fd65c71dd9df from "../assets/image/SyDLepVveg_2f81384e-bcac-806f-acb7-fd65c71dd9df.jpg";
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import Screenshot_2026_01_20_at_09_42_21_2f81384e_bcac_80e6_b3fa_d06567e56b15 from "../assets/image/Screenshot_2026-01-20_at_09_42_21_2f81384e-bcac-80e6-b3fa-d06567e56b15.png";
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@@ -484,11 +485,14 @@ The fundamental insight is that **optimization gains depend on identifying the b
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The Flash-Attn vLLM backend is more than 50% faster than FlashInfer [@flashinfer] across setups. This aligns with vLLM's [backend priority](https://docs.vllm.ai/en/latest/design/attention_backends/#backend-priority-cuda): on Ampere/Hopper (SM 8.xβ9.x) Flash Attention is tried first, whereas on Blackwell (SM 10.x) FlashInfer has priority and may be faster there.
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#### Pre-training
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We also experimented with different values of `gpu-memory-utilization` , but they didn't make a substantial difference so we don't report them here and exclude them from the main benchmarking code for simplicity.
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Similar to [prior experiments](https://github.com/vllm-project/vllm/issues/6868), we also did not find significant throughput differences with non-standard block sizes (not 16).
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import Image from "../../components/Image.astro";
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import HtmlEmbed from "../../components/HtmlEmbed.astro";
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import SyDLepVveg_2f81384e_bcac_806f_acb7_fd65c71dd9df from "../assets/image/SyDLepVveg_2f81384e-bcac-806f-acb7-fd65c71dd9df.jpg";
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import Screenshot_2026_01_20_at_09_42_21_2f81384e_bcac_80e6_b3fa_d06567e56b15 from "../assets/image/Screenshot_2026-01-20_at_09_42_21_2f81384e-bcac-80e6-b3fa-d06567e56b15.png";
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The Flash-Attn vLLM backend is more than 50% faster than FlashInfer [@flashinfer] across setups. This aligns with vLLM's [backend priority](https://docs.vllm.ai/en/latest/design/attention_backends/#backend-priority-cuda): on Ampere/Hopper (SM 8.xβ9.x) Flash Attention is tried first, whereas on Blackwell (SM 10.x) FlashInfer has priority and may be faster there.
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<HtmlEmbed
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id="optimization-sweep"
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src="d3-optimization-sweep.html"
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title="Pre-training Throughput Optimization Sweep"
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desc="Throughput optimization across 18 models in two tiers. Tier 0 tunes serving parameters (tp, mns, mnbt). Tier 1 adds gpu-memory-utilization and speculative decoding. Shape encodes tier, color encodes model family."
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/>
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Similar to [prior experiments](https://github.com/vllm-project/vllm/issues/6868), we also did not find significant throughput differences with non-standard block sizes (not 16).
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app/src/content/embeds/d3-optimization-sweep.html
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<div class="d3-optimization-sweep"></div>
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<style>
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.d3-optimization-sweep { position: relative; }
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.d3-optimization-sweep .controls {
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display: flex;
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gap: 16px;
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align-items: flex-end;
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justify-content: flex-end;
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flex-wrap: wrap;
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margin: 10px 0 0 0;
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}
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.d3-optimization-sweep .controls .control-group {
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display: flex;
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flex-direction: column;
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align-items: flex-start;
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gap: 6px;
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}
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.d3-optimization-sweep .controls label {
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font-size: 12px;
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font-weight: 700;
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color: var(--text-color);
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}
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.d3-optimization-sweep .controls select {
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appearance: none;
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-webkit-appearance: none;
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-moz-appearance: none;
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border: 1px solid var(--border-color);
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border-radius: 8px;
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padding: 6px 28px 6px 10px;
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background-color: var(--surface-bg);
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color: var(--text-color);
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font-size: 13px;
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line-height: 1.2;
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background-image: url("data:image/svg+xml,%3Csvg width='12' height='8' viewBox='0 0 12 8' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M1.41 1.59L6 6.17l4.59-4.58L12 3 6 9 0 3z' fill='%23999'/%3E%3C/svg%3E");
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background-repeat: no-repeat;
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background-position: right 8px center;
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}
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.d3-optimization-sweep .controls select:focus-visible {
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outline: 2px solid var(--primary-color);
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outline-offset: 2px;
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}
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.d3-optimization-sweep .legend {
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display: flex;
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flex-direction: column;
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align-items: flex-start;
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gap: 6px;
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margin: 8px 0 0 0;
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}
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.d3-optimization-sweep .legend .legend-title {
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font-size: 12px;
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font-weight: 700;
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color: var(--text-color);
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}
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.d3-optimization-sweep .legend .legend-section {
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display: flex;
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flex-wrap: wrap;
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gap: 8px 14px;
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}
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.d3-optimization-sweep .legend .item {
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display: inline-flex;
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align-items: center;
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gap: 6px;
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white-space: nowrap;
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font-size: 12px;
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| 65 |
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color: var(--text-color);
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| 66 |
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}
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| 67 |
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.d3-optimization-sweep .legend .swatch {
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| 68 |
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width: 14px;
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height: 14px;
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border-radius: 3px;
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| 71 |
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border: 1px solid var(--border-color);
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| 72 |
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flex-shrink: 0;
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}
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.d3-optimization-sweep .legend .shape-swatch {
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width: 14px;
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height: 14px;
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flex-shrink: 0;
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}
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.d3-optimization-sweep .d3-tooltip {
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position: absolute;
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top: 0px;
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| 82 |
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left: 0px;
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transform: translate(-9999px, -9999px);
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pointer-events: none;
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padding: 8px 10px;
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border-radius: 8px;
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| 87 |
+
font-size: 12px;
|
| 88 |
+
line-height: 1.35;
|
| 89 |
+
border: 1px solid var(--border-color);
|
| 90 |
+
background: var(--surface-bg);
|
| 91 |
+
color: var(--text-color);
|
| 92 |
+
box-shadow: 0 4px 24px rgba(0,0,0,.18);
|
| 93 |
+
opacity: 0;
|
| 94 |
+
transition: opacity .12s ease;
|
| 95 |
+
text-align: left;
|
| 96 |
+
max-width: 320px;
|
| 97 |
+
z-index: 10;
|
| 98 |
+
}
|
| 99 |
+
.d3-optimization-sweep .d3-tooltip .tip-label { color: var(--muted-color); }
|
| 100 |
+
.d3-optimization-sweep .d3-tooltip .tip-val { font-weight: 600; }
|
| 101 |
+
.d3-optimization-sweep .d3-tooltip .tip-best { color: var(--primary-color); font-weight: 700; }
|
| 102 |
+
.d3-optimization-sweep .d3-tooltip .tip-regression { color: #e05252; }
|
| 103 |
+
.d3-optimization-sweep .y-label-text {
|
| 104 |
+
font-size: 11px;
|
| 105 |
+
cursor: default;
|
| 106 |
+
}
|
| 107 |
+
.d3-optimization-sweep .speedup-label {
|
| 108 |
+
font-size: 10px;
|
| 109 |
+
font-weight: 600;
|
| 110 |
+
}
|
| 111 |
+
</style>
|
| 112 |
+
<script>
|
| 113 |
+
(() => {
|
| 114 |
+
const ensureD3 = (cb) => {
|
| 115 |
+
if (window.d3 && typeof window.d3.select === 'function') return cb();
|
| 116 |
+
let s = document.getElementById('d3-cdn-script');
|
| 117 |
+
if (!s) {
|
| 118 |
+
s = document.createElement('script');
|
| 119 |
+
s.id = 'd3-cdn-script';
|
| 120 |
+
s.src = 'https://cdn.jsdelivr.net/npm/d3@7/dist/d3.min.js';
|
| 121 |
+
document.head.appendChild(s);
|
| 122 |
+
}
|
| 123 |
+
const onReady = () => { if (window.d3 && typeof window.d3.select === 'function') cb(); };
|
| 124 |
+
s.addEventListener('load', onReady, { once: true });
|
| 125 |
+
if (window.d3) onReady();
|
| 126 |
+
};
|
| 127 |
+
|
| 128 |
+
const bootstrap = () => {
|
| 129 |
+
const scriptEl = document.currentScript;
|
| 130 |
+
let container = scriptEl ? scriptEl.previousElementSibling : null;
|
| 131 |
+
if (!(container && container.classList && container.classList.contains('d3-optimization-sweep'))) {
|
| 132 |
+
const cs = Array.from(document.querySelectorAll('.d3-optimization-sweep'))
|
| 133 |
+
.filter(el => !(el.dataset && el.dataset.mounted === 'true'));
|
| 134 |
+
container = cs[cs.length - 1] || null;
|
| 135 |
+
}
|
| 136 |
+
if (!container) return;
|
| 137 |
+
if (container.dataset) {
|
| 138 |
+
if (container.dataset.mounted === 'true') return;
|
| 139 |
+
container.dataset.mounted = 'true';
|
| 140 |
+
}
|
| 141 |
+
container.style.position = container.style.position || 'relative';
|
| 142 |
+
|
| 143 |
+
// ββ Data ββ
|
| 144 |
+
const DATA = [
|
| 145 |
+
{ model: 'Qwen3-0.6B', family: 'Qwen3', baseTp: 1, baseTps: 13527, t0Tps: 14069, t0Speedup: 1.04, t0Params: 'mns=512', t1Tps: 12330, t1Speedup: 0.91, t1Params: 'mns=512, gmu=95', bestTps: 14069, bestSpeedup: 1.04, bestParams: 'mns=512' },
|
| 146 |
+
{ model: 'Qwen3-1.7B', family: 'Qwen3', baseTp: 1, baseTps: 11710, t0Tps: 12313, t0Speedup: 1.05, t0Params: 'mnbt=32768', t1Tps: 11262, t1Speedup: 0.96, t1Params: 'mnbt=32768, gmu=95', bestTps: 12313, bestSpeedup: 1.05, bestParams: 'mnbt=32768' },
|
| 147 |
+
{ model: 'Qwen3-14B', family: 'Qwen3', baseTp: 1, baseTps: 4414, t0Tps: 4549, t0Speedup: 1.03, t0Params: 'tp=2', t1Tps: 4158, t1Speedup: 0.94, t1Params: 'tp=2', bestTps: 4549, bestSpeedup: 1.03, bestParams: 'tp=2' },
|
| 148 |
+
{ model: 'Qwen3-30B-A3B', family: 'Qwen3', baseTp: 1, baseTps: 2977, t0Tps: 5310, t0Speedup: 1.78, t0Params: 'tp=2, mns=512, mnbt=32768', t1Tps: 5064, t1Speedup: 1.70, t1Params: 'tp=2, mns=512, mnbt=32768, gmu=95', bestTps: 5310, bestSpeedup: 1.78, bestParams: 'tp=2, mns=512, mnbt=32768' },
|
| 149 |
+
{ model: 'Qwen3-32B', family: 'Qwen3', baseTp: 4, baseTps: 1987, t0Tps: 2072, t0Speedup: 1.04, t0Params: 'mns=512, mnbt=16384', t1Tps: 2078, t1Speedup: 1.05, t1Params: 'mns=512, mnbt=16384, gmu=95', bestTps: 2078, bestSpeedup: 1.05, bestParams: 'mns=512, mnbt=16384, gmu=95' },
|
| 150 |
+
{ model: 'Qwen3-4B', family: 'Qwen3', baseTp: 1, baseTps: 7919, t0Tps: 8086, t0Speedup: 1.02, t0Params: 'mnbt=32768', t1Tps: 7751, t1Speedup: 0.98, t1Params: 'mnbt=32768, gmu=95', bestTps: 8086, bestSpeedup: 1.02, bestParams: 'mnbt=32768' },
|
| 151 |
+
{ model: 'Qwen3-8B', family: 'Qwen3', baseTp: 1, baseTps: 6338, t0Tps: 6338, t0Speedup: 1.00, t0Params: '(baseline)', t1Tps: 6443, t1Speedup: 1.02, t1Params: 'gmu=95', bestTps: 6443, bestSpeedup: 1.02, bestParams: 'gmu=95' },
|
| 152 |
+
{ model: 'Qwen3-Next-80B-A3B', family: 'Qwen3', baseTp: 4, baseTps: 2034, t0Tps: 2678, t0Speedup: 1.32, t0Params: 'mns=512', t1Tps: 2481, t1Speedup: 1.22, t1Params: 'mns=512', bestTps: 2678, bestSpeedup: 1.32, bestParams: 'mns=512' },
|
| 153 |
+
{ model: 'SmolLM2-1.7B', family: 'SmolLM2', baseTp: 1, baseTps: 5255, t0Tps: 5437, t0Speedup: 1.03, t0Params: 'mns=2048, mnbt=32768', t1Tps: 9220, t1Speedup: 1.75, t1Params: 'mns=2048, mnbt=32768, gmu=95, spec=suffix_32', bestTps: 9220, bestSpeedup: 1.75, bestParams: 'mns=2048, mnbt=32768, gmu=95, spec=suffix_32' },
|
| 154 |
+
{ model: 'SmolLM2-135M', family: 'SmolLM2', baseTp: 1, baseTps: 28391, t0Tps: 31186, t0Speedup: 1.10, t0Params: 'mns=512, mnbt=32768', t1Tps: 45540, t1Speedup: 1.60, t1Params: 'mns=512, mnbt=32768, spec=ngram_6', bestTps: 45540, bestSpeedup: 1.60, bestParams: 'mns=512, mnbt=32768, spec=ngram_6' },
|
| 155 |
+
{ model: 'SmolLM2-360M', family: 'SmolLM2', baseTp: 1, baseTps: 17887, t0Tps: 18844, t0Speedup: 1.05, t0Params: 'mns=512', t1Tps: 23996, t1Speedup: 1.34, t1Params: 'mns=512, spec=ngram_6', bestTps: 23996, bestSpeedup: 1.34, bestParams: 'mns=512, spec=ngram_6' },
|
| 156 |
+
{ model: 'Gemma-3-12B', family: 'Gemma3', baseTp: 1, baseTps: 2999, t0Tps: 2999, t0Speedup: 1.00, t0Params: '(baseline)', t1Tps: 3046, t1Speedup: 1.02, t1Params: 'gmu=95', bestTps: 3046, bestSpeedup: 1.02, bestParams: 'gmu=95' },
|
| 157 |
+
{ model: 'Gemma-3-1B', family: 'Gemma3', baseTp: 1, baseTps: 14838, t0Tps: 16762, t0Speedup: 1.13, t0Params: 'mns=4096, mnbt=32768', t1Tps: 13832, t1Speedup: 0.93, t1Params: 'mns=4096, mnbt=32768, gmu=95', bestTps: 16762, bestSpeedup: 1.13, bestParams: 'mns=4096, mnbt=32768' },
|
| 158 |
+
{ model: 'Gemma-3-270M', family: 'Gemma3', baseTp: 1, baseTps: 22996, t0Tps: 23585, t0Speedup: 1.03, t0Params: 'mnbt=32768', t1Tps: 21030, t1Speedup: 0.91, t1Params: 'mnbt=32768', bestTps: 23585, bestSpeedup: 1.03, bestParams: 'mnbt=32768' },
|
| 159 |
+
{ model: 'Gemma-3-27B', family: 'Gemma3', baseTp: 2, baseTps: 1724, t0Tps: 1724, t0Speedup: 1.00, t0Params: '(baseline)', t1Tps: 1671, t1Speedup: 0.97, t1Params: 'gmu=95', bestTps: 1724, bestSpeedup: 1.00, bestParams: '(baseline)' },
|
| 160 |
+
{ model: 'Gemma-3-4B', family: 'Gemma3', baseTp: 1, baseTps: 8501, t0Tps: 9253, t0Speedup: 1.09, t0Params: 'mns=1024, mnbt=32768', t1Tps: 8361, t1Speedup: 0.98, t1Params: 'mns=1024, mnbt=32768', bestTps: 9253, bestSpeedup: 1.09, bestParams: 'mns=1024, mnbt=32768' },
|
| 161 |
+
{ model: 'GPT-OSS-120B', family: 'GPT-OSS', baseTp: 1, baseTps: 3138, t0Tps: 6117, t0Speedup: 1.95, t0Params: 'tp=2, mns=1024, mnbt=32768', t1Tps: 5450, t1Speedup: 1.74, t1Params: 'tp=2, mns=1024, mnbt=32768', bestTps: 6117, bestSpeedup: 1.95, bestParams: 'tp=2, mns=1024, mnbt=32768' },
|
| 162 |
+
{ model: 'GPT-OSS-20B', family: 'GPT-OSS', baseTp: 1, baseTps: 12432, t0Tps: 14671, t0Speedup: 1.18, t0Params: 'mns=512, mnbt=16384', t1Tps: 13004, t1Speedup: 1.05, t1Params: 'mns=512, mnbt=16384', bestTps: 14671, bestSpeedup: 1.18, bestParams: 'mns=512, mnbt=16384' },
|
| 163 |
+
];
|
| 164 |
+
|
| 165 |
+
const FAMILIES = ['Qwen3', 'SmolLM2', 'Gemma3', 'GPT-OSS'];
|
| 166 |
+
const TIERS = ['Baseline', 'Tier 0', 'Tier 1'];
|
| 167 |
+
|
| 168 |
+
// ββ Colors & shapes ββ
|
| 169 |
+
function getFamilyColors() {
|
| 170 |
+
try {
|
| 171 |
+
if (window.ColorPalettes && typeof window.ColorPalettes.getColors === 'function') {
|
| 172 |
+
return window.ColorPalettes.getColors('categorical', FAMILIES.length);
|
| 173 |
+
}
|
| 174 |
+
} catch (e) {}
|
| 175 |
+
return ['var(--primary-color)', '#e377c2', '#17becf', '#bcbd22'];
|
| 176 |
+
}
|
| 177 |
+
|
| 178 |
+
const familyPalette = getFamilyColors();
|
| 179 |
+
const familyColor = (family) => familyPalette[FAMILIES.indexOf(family)] || 'var(--primary-color)';
|
| 180 |
+
const BEST_COLOR = '#ee8a2a';
|
| 181 |
+
|
| 182 |
+
// D3 symbol generators for each tier
|
| 183 |
+
const SHAPE_SIZE = 48;
|
| 184 |
+
const SHAPE_SIZE_BEST = 80;
|
| 185 |
+
const shapeGenerators = {
|
| 186 |
+
'Baseline': d3.symbol().type(d3.symbolCircle),
|
| 187 |
+
'Tier 0': d3.symbol().type(d3.symbolDiamond),
|
| 188 |
+
'Tier 1': d3.symbol().type(d3.symbolTriangle),
|
| 189 |
+
};
|
| 190 |
+
|
| 191 |
+
// ββ Tooltip ββ
|
| 192 |
+
let tip = container.querySelector('.d3-tooltip');
|
| 193 |
+
let tipInner;
|
| 194 |
+
if (!tip) {
|
| 195 |
+
tip = document.createElement('div'); tip.className = 'd3-tooltip';
|
| 196 |
+
tipInner = document.createElement('div'); tipInner.className = 'd3-tooltip__inner'; tipInner.style.textAlign = 'left';
|
| 197 |
+
tip.appendChild(tipInner); container.appendChild(tip);
|
| 198 |
+
} else { tipInner = tip.querySelector('.d3-tooltip__inner') || tip; }
|
| 199 |
+
|
| 200 |
+
function showTip(html, mx, my) {
|
| 201 |
+
tipInner.innerHTML = html;
|
| 202 |
+
const tipW = tip.offsetWidth || 200;
|
| 203 |
+
const tipH = tip.offsetHeight || 100;
|
| 204 |
+
const cw = container.clientWidth;
|
| 205 |
+
let tx = mx + 14, ty = my - 10;
|
| 206 |
+
if (tx + tipW > cw - 8) tx = mx - tipW - 14;
|
| 207 |
+
if (ty + tipH > container.clientHeight) ty = container.clientHeight - tipH - 4;
|
| 208 |
+
if (ty < 0) ty = 4;
|
| 209 |
+
tip.style.transform = `translate(${tx}px, ${ty}px)`;
|
| 210 |
+
tip.style.opacity = '1';
|
| 211 |
+
}
|
| 212 |
+
function hideTip() {
|
| 213 |
+
tip.style.opacity = '0';
|
| 214 |
+
tip.style.transform = 'translate(-9999px, -9999px)';
|
| 215 |
+
}
|
| 216 |
+
|
| 217 |
+
// ββ SVG ββ
|
| 218 |
+
const svg = d3.select(container).append('svg').attr('width', '100%').style('display', 'block');
|
| 219 |
+
const gRoot = svg.append('g');
|
| 220 |
+
|
| 221 |
+
// ββ State ββ
|
| 222 |
+
const state = { metric: 'throughput', sort: 'speedup' };
|
| 223 |
+
|
| 224 |
+
function sortedData() {
|
| 225 |
+
const d = [...DATA];
|
| 226 |
+
if (state.sort === 'speedup') d.sort((a, b) => b.bestSpeedup - a.bestSpeedup);
|
| 227 |
+
else if (state.sort === 'baseline') d.sort((a, b) => b.baseTps - a.baseTps);
|
| 228 |
+
else if (state.sort === 'family') {
|
| 229 |
+
d.sort((a, b) => {
|
| 230 |
+
const fi = FAMILIES.indexOf(a.family) - FAMILIES.indexOf(b.family);
|
| 231 |
+
return fi !== 0 ? fi : b.bestSpeedup - a.bestSpeedup;
|
| 232 |
+
});
|
| 233 |
+
}
|
| 234 |
+
return d;
|
| 235 |
+
}
|
| 236 |
+
|
| 237 |
+
// ββ Layout ββ
|
| 238 |
+
const margin = { top: 10, right: 62, bottom: 42, left: 148 };
|
| 239 |
+
let width = 800, height = 500;
|
| 240 |
+
|
| 241 |
+
function updateSize() {
|
| 242 |
+
width = container.clientWidth || 800;
|
| 243 |
+
height = Math.max(400, DATA.length * 28 + margin.top + margin.bottom);
|
| 244 |
+
svg.attr('width', width).attr('height', height);
|
| 245 |
+
gRoot.attr('transform', `translate(${margin.left},${margin.top})`);
|
| 246 |
+
return { iw: width - margin.left - margin.right, ih: height - margin.top - margin.bottom };
|
| 247 |
+
}
|
| 248 |
+
|
| 249 |
+
// ββ Render ββ
|
| 250 |
+
function render() {
|
| 251 |
+
const { iw, ih } = updateSize();
|
| 252 |
+
const data = sortedData();
|
| 253 |
+
const modelNames = data.map(d => d.model);
|
| 254 |
+
|
| 255 |
+
const yScale = d3.scaleBand().domain(modelNames).range([0, ih]).padding(0.35);
|
| 256 |
+
const bandH = yScale.bandwidth();
|
| 257 |
+
|
| 258 |
+
// X scale depends on metric
|
| 259 |
+
let xScale;
|
| 260 |
+
if (state.metric === 'throughput') {
|
| 261 |
+
const maxTps = d3.max(data, d => Math.max(d.baseTps, d.t0Tps, d.t1Tps));
|
| 262 |
+
xScale = d3.scaleLinear().domain([0, maxTps * 1.08]).range([0, iw]).nice();
|
| 263 |
+
} else {
|
| 264 |
+
const maxSpd = d3.max(data, d => Math.max(d.t0Speedup, d.t1Speedup));
|
| 265 |
+
const minSpd = d3.min(data, d => Math.min(d.t0Speedup, d.t1Speedup));
|
| 266 |
+
xScale = d3.scaleLinear().domain([Math.min(0.85, minSpd - 0.05), Math.max(2.05, maxSpd + 0.1)]).range([0, iw]).nice();
|
| 267 |
+
}
|
| 268 |
+
|
| 269 |
+
// ββ Grid ββ
|
| 270 |
+
const gridTicks = xScale.ticks(8);
|
| 271 |
+
gRoot.selectAll('.grid').data([0]).join('g').attr('class', 'grid')
|
| 272 |
+
.call(g => {
|
| 273 |
+
const lines = g.selectAll('line').data(gridTicks, d => d);
|
| 274 |
+
lines.join('line')
|
| 275 |
+
.attr('x1', d => xScale(d)).attr('x2', d => xScale(d))
|
| 276 |
+
.attr('y1', 0).attr('y2', ih)
|
| 277 |
+
.attr('stroke', 'var(--grid-color)').attr('stroke-width', 1);
|
| 278 |
+
});
|
| 279 |
+
|
| 280 |
+
// ββ X axis ββ
|
| 281 |
+
const xAxisGen = state.metric === 'throughput'
|
| 282 |
+
? d3.axisBottom(xScale).ticks(8).tickFormat(d => d >= 1000 ? (d / 1000) + 'k' : d)
|
| 283 |
+
: d3.axisBottom(xScale).ticks(8).tickFormat(d => d.toFixed(1) + 'x');
|
| 284 |
+
gRoot.selectAll('.axis-x').data([0]).join('g').attr('class', 'axis-x')
|
| 285 |
+
.attr('transform', `translate(0,${ih})`)
|
| 286 |
+
.call(xAxisGen)
|
| 287 |
+
.call(g => {
|
| 288 |
+
g.selectAll('path, line').attr('stroke', 'var(--axis-color)');
|
| 289 |
+
g.selectAll('text').attr('fill', 'var(--tick-color)').style('font-size', '11px');
|
| 290 |
+
});
|
| 291 |
+
|
| 292 |
+
// ββ X axis label ββ
|
| 293 |
+
const xLabel = state.metric === 'throughput' ? 'Tokens per second per GPU' : 'Speedup vs baseline';
|
| 294 |
+
gRoot.selectAll('.x-label').data([0]).join('text').attr('class', 'x-label')
|
| 295 |
+
.attr('x', iw / 2).attr('y', ih + margin.bottom - 4)
|
| 296 |
+
.attr('text-anchor', 'middle').attr('fill', 'var(--muted-color)')
|
| 297 |
+
.attr('font-size', 11).text(xLabel);
|
| 298 |
+
|
| 299 |
+
// ββ Y axis (model names) ββ
|
| 300 |
+
gRoot.selectAll('.axis-y').data([0]).join('g').attr('class', 'axis-y')
|
| 301 |
+
.call(g => {
|
| 302 |
+
const labels = g.selectAll('text.y-label-text').data(data, d => d.model);
|
| 303 |
+
labels.join(
|
| 304 |
+
enter => enter.append('text').attr('class', 'y-label-text')
|
| 305 |
+
.attr('x', -8).attr('dy', '0.35em')
|
| 306 |
+
.attr('text-anchor', 'end'),
|
| 307 |
+
update => update,
|
| 308 |
+
exit => exit.remove()
|
| 309 |
+
)
|
| 310 |
+
.attr('y', d => yScale(d.model) + bandH / 2)
|
| 311 |
+
.attr('fill', d => familyColor(d.family))
|
| 312 |
+
.text(d => d.model);
|
| 313 |
+
});
|
| 314 |
+
|
| 315 |
+
// ββ Reference line at 1.0x in speedup mode ββ
|
| 316 |
+
gRoot.selectAll('.ref-line').data(state.metric === 'speedup' ? [1.0] : []).join('line')
|
| 317 |
+
.attr('class', 'ref-line')
|
| 318 |
+
.attr('x1', d => xScale(d)).attr('x2', d => xScale(d))
|
| 319 |
+
.attr('y1', 0).attr('y2', ih)
|
| 320 |
+
.attr('stroke', 'var(--text-color)').attr('stroke-width', 1.5)
|
| 321 |
+
.attr('stroke-dasharray', '4,3').attr('opacity', 0.5);
|
| 322 |
+
|
| 323 |
+
// ββ Dumbbell rows ββ
|
| 324 |
+
if (state.metric === 'throughput') {
|
| 325 |
+
renderThroughput(data, xScale, yScale, bandH, iw);
|
| 326 |
+
} else {
|
| 327 |
+
renderSpeedup(data, xScale, yScale, bandH, iw);
|
| 328 |
+
}
|
| 329 |
+
}
|
| 330 |
+
|
| 331 |
+
function renderThroughput(data, xScale, yScale, bandH, iw) {
|
| 332 |
+
// Remove speedup bars
|
| 333 |
+
gRoot.selectAll('.speedup-bar').remove();
|
| 334 |
+
|
| 335 |
+
// Connecting lines (baseline to rightmost point)
|
| 336 |
+
const lineData = data.map(d => ({
|
| 337 |
+
...d,
|
| 338 |
+
x1: xScale(Math.min(d.baseTps, d.t0Tps, d.t1Tps)),
|
| 339 |
+
x2: xScale(Math.max(d.baseTps, d.t0Tps, d.t1Tps)),
|
| 340 |
+
cy: yScale(d.model) + bandH / 2,
|
| 341 |
+
}));
|
| 342 |
+
gRoot.selectAll('.conn-line').data(lineData, d => d.model).join('line')
|
| 343 |
+
.attr('class', 'conn-line')
|
| 344 |
+
.attr('x1', d => d.x1).attr('x2', d => d.x2)
|
| 345 |
+
.attr('y1', d => d.cy).attr('y2', d => d.cy)
|
| 346 |
+
.attr('stroke', d => familyColor(d.family))
|
| 347 |
+
.attr('stroke-width', 2).attr('opacity', 0.4);
|
| 348 |
+
|
| 349 |
+
// Dots: 3 per model (baseline, tier0, tier1)
|
| 350 |
+
const dots = [];
|
| 351 |
+
data.forEach(d => {
|
| 352 |
+
const cy = yScale(d.model) + bandH / 2;
|
| 353 |
+
dots.push({ ...d, tier: 'Baseline', val: d.baseTps, cx: xScale(d.baseTps), cy, isBest: d.bestTps === d.baseTps });
|
| 354 |
+
dots.push({ ...d, tier: 'Tier 0', val: d.t0Tps, cx: xScale(d.t0Tps), cy, isBest: d.bestTps === d.t0Tps && d.t0Tps !== d.baseTps });
|
| 355 |
+
dots.push({ ...d, tier: 'Tier 1', val: d.t1Tps, cx: xScale(d.t1Tps), cy, isBest: d.bestTps === d.t1Tps && d.t1Tps !== d.t0Tps && d.t1Tps !== d.baseTps });
|
| 356 |
+
});
|
| 357 |
+
|
| 358 |
+
gRoot.selectAll('.dot').data(dots, d => d.model + '-' + d.tier).join('path')
|
| 359 |
+
.attr('class', 'dot')
|
| 360 |
+
.attr('d', d => shapeGenerators[d.tier].size(d.isBest ? SHAPE_SIZE_BEST : SHAPE_SIZE)())
|
| 361 |
+
.attr('transform', d => `translate(${d.cx},${d.cy})`)
|
| 362 |
+
.attr('fill', d => d.isBest ? BEST_COLOR : familyColor(d.family))
|
| 363 |
+
.attr('stroke', d => d.isBest ? 'var(--text-color)' : 'none')
|
| 364 |
+
.attr('stroke-width', d => d.isBest ? 1.5 : 0)
|
| 365 |
+
.attr('opacity', 0.9)
|
| 366 |
+
.attr('cursor', 'pointer')
|
| 367 |
+
.on('mouseenter', function (event, d) {
|
| 368 |
+
d3.select(this).attr('opacity', 1);
|
| 369 |
+
const [mx, my] = d3.pointer(event, container);
|
| 370 |
+
showTip(buildTooltip(d), mx, my);
|
| 371 |
+
})
|
| 372 |
+
.on('mousemove', function (event) {
|
| 373 |
+
const [mx, my] = d3.pointer(event, container);
|
| 374 |
+
tip.style.transform = `translate(${mx + 14}px, ${my - 10}px)`;
|
| 375 |
+
})
|
| 376 |
+
.on('mouseleave', function () {
|
| 377 |
+
d3.select(this).attr('opacity', 0.9);
|
| 378 |
+
hideTip();
|
| 379 |
+
});
|
| 380 |
+
|
| 381 |
+
// Speedup annotation on right
|
| 382 |
+
gRoot.selectAll('.speedup-label').data(data, d => d.model).join('text')
|
| 383 |
+
.attr('class', 'speedup-label')
|
| 384 |
+
.attr('x', iw + 6)
|
| 385 |
+
.attr('y', d => yScale(d.model) + bandH / 2)
|
| 386 |
+
.attr('dy', '0.35em')
|
| 387 |
+
.attr('fill', d => d.bestSpeedup >= 1.3 ? BEST_COLOR : 'var(--muted-color)')
|
| 388 |
+
.attr('font-weight', d => d.bestSpeedup >= 1.3 ? 700 : 400)
|
| 389 |
+
.text(d => d.bestSpeedup.toFixed(2) + 'x');
|
| 390 |
+
}
|
| 391 |
+
|
| 392 |
+
function renderSpeedup(data, xScale, yScale, bandH, iw) {
|
| 393 |
+
// Remove throughput elements
|
| 394 |
+
gRoot.selectAll('.conn-line').remove();
|
| 395 |
+
gRoot.selectAll('.dot').remove();
|
| 396 |
+
|
| 397 |
+
// Two bars per model: Tier 0 speedup, Tier 1 speedup
|
| 398 |
+
const barH = bandH * 0.38;
|
| 399 |
+
const barData = [];
|
| 400 |
+
data.forEach(d => {
|
| 401 |
+
const baseY = yScale(d.model);
|
| 402 |
+
barData.push({ ...d, tier: 'Tier 0', val: d.t0Speedup, y: baseY + bandH * 0.12, h: barH });
|
| 403 |
+
barData.push({ ...d, tier: 'Tier 1', val: d.t1Speedup, y: baseY + bandH * 0.5, h: barH });
|
| 404 |
+
});
|
| 405 |
+
|
| 406 |
+
const oneX = xScale(1.0);
|
| 407 |
+
gRoot.selectAll('.speedup-bar').data(barData, d => d.model + '-' + d.tier).join('rect')
|
| 408 |
+
.attr('class', 'speedup-bar')
|
| 409 |
+
.attr('x', d => d.val >= 1.0 ? oneX : xScale(d.val))
|
| 410 |
+
.attr('y', d => d.y)
|
| 411 |
+
.attr('width', d => Math.abs(xScale(d.val) - oneX))
|
| 412 |
+
.attr('height', d => d.h)
|
| 413 |
+
.attr('rx', 2)
|
| 414 |
+
.attr('fill', d => familyColor(d.family))
|
| 415 |
+
.attr('opacity', d => d.tier === 'Tier 0' ? 0.9 : 0.55)
|
| 416 |
+
.attr('stroke', d => d.val < 1.0 ? '#e05252' : 'none')
|
| 417 |
+
.attr('stroke-width', d => d.val < 1.0 ? 1 : 0)
|
| 418 |
+
.attr('cursor', 'pointer')
|
| 419 |
+
.on('mouseenter', function (event, d) {
|
| 420 |
+
d3.select(this).attr('opacity', 1);
|
| 421 |
+
const [mx, my] = d3.pointer(event, container);
|
| 422 |
+
showTip(buildTooltip(d), mx, my);
|
| 423 |
+
})
|
| 424 |
+
.on('mousemove', function (event) {
|
| 425 |
+
const [mx, my] = d3.pointer(event, container);
|
| 426 |
+
tip.style.transform = `translate(${mx + 14}px, ${my - 10}px)`;
|
| 427 |
+
})
|
| 428 |
+
.on('mouseleave', function (event, d) {
|
| 429 |
+
d3.select(this).attr('opacity', d.tier === 'Tier 0' ? 0.9 : 0.55);
|
| 430 |
+
hideTip();
|
| 431 |
+
});
|
| 432 |
+
|
| 433 |
+
// Speedup annotation on right
|
| 434 |
+
gRoot.selectAll('.speedup-label').data(data, d => d.model).join('text')
|
| 435 |
+
.attr('class', 'speedup-label')
|
| 436 |
+
.attr('x', iw + 6)
|
| 437 |
+
.attr('y', d => yScale(d.model) + bandH / 2)
|
| 438 |
+
.attr('dy', '0.35em')
|
| 439 |
+
.attr('fill', d => d.bestSpeedup >= 1.3 ? BEST_COLOR : 'var(--muted-color)')
|
| 440 |
+
.attr('font-weight', d => d.bestSpeedup >= 1.3 ? 700 : 400)
|
| 441 |
+
.text(d => d.bestSpeedup.toFixed(2) + 'x');
|
| 442 |
+
}
|
| 443 |
+
|
| 444 |
+
function buildTooltip(d) {
|
| 445 |
+
const fmt = (v) => v.toLocaleString();
|
| 446 |
+
const spd = (v) => v.toFixed(2) + 'x';
|
| 447 |
+
const cls = (v) => v < 1.0 ? 'tip-regression' : (v >= 1.3 ? 'tip-best' : 'tip-val');
|
| 448 |
+
return `<div style="margin-bottom:4px"><strong>${d.model}</strong> <span class="tip-label">(${d.family})</span></div>`
|
| 449 |
+
+ `<div><span class="tip-label">Baseline:</span> <span class="tip-val">${fmt(d.baseTps)}</span> tps/gpu <span class="tip-label">(tp=${d.baseTp})</span></div>`
|
| 450 |
+
+ `<div><span class="tip-label">Tier 0:</span> <span class="${cls(d.t0Speedup)}">${fmt(d.t0Tps)}</span> tps/gpu <span class="${cls(d.t0Speedup)}">${spd(d.t0Speedup)}</span></div>`
|
| 451 |
+
+ `<div style="font-size:10px;color:var(--muted-color);margin-left:8px">${d.t0Params}</div>`
|
| 452 |
+
+ `<div><span class="tip-label">Tier 1:</span> <span class="${cls(d.t1Speedup)}">${fmt(d.t1Tps)}</span> tps/gpu <span class="${cls(d.t1Speedup)}">${spd(d.t1Speedup)}</span></div>`
|
| 453 |
+
+ `<div style="font-size:10px;color:var(--muted-color);margin-left:8px">${d.t1Params}</div>`
|
| 454 |
+
+ `<div style="margin-top:4px;border-top:1px solid var(--border-color);padding-top:4px"><span class="tip-label">Best:</span> <span class="tip-best">${fmt(d.bestTps)} tps/gpu (${spd(d.bestSpeedup)})</span></div>`
|
| 455 |
+
+ `<div style="font-size:10px;color:var(--muted-color);margin-left:8px">${d.bestParams}</div>`;
|
| 456 |
+
}
|
| 457 |
+
|
| 458 |
+
// ββ Controls ββ
|
| 459 |
+
const controls = document.createElement('div'); controls.className = 'controls';
|
| 460 |
+
|
| 461 |
+
// Metric select
|
| 462 |
+
const metricGroup = document.createElement('div'); metricGroup.className = 'control-group';
|
| 463 |
+
const metricLabel = document.createElement('label'); metricLabel.textContent = 'Metric'; metricLabel.setAttribute('for', 'metric-sel-optsweep');
|
| 464 |
+
const metricSel = document.createElement('select'); metricSel.id = 'metric-sel-optsweep';
|
| 465 |
+
[['throughput', 'Throughput (tps/gpu)'], ['speedup', 'Speedup']].forEach(([v, t]) => {
|
| 466 |
+
const o = document.createElement('option'); o.value = v; o.textContent = t; metricSel.appendChild(o);
|
| 467 |
+
});
|
| 468 |
+
metricSel.value = state.metric;
|
| 469 |
+
metricSel.addEventListener('change', () => { state.metric = metricSel.value; render(); });
|
| 470 |
+
metricGroup.appendChild(metricLabel); metricGroup.appendChild(metricSel);
|
| 471 |
+
|
| 472 |
+
// Sort select
|
| 473 |
+
const sortGroup = document.createElement('div'); sortGroup.className = 'control-group';
|
| 474 |
+
const sortLabel = document.createElement('label'); sortLabel.textContent = 'Sort'; sortLabel.setAttribute('for', 'sort-sel-optsweep');
|
| 475 |
+
const sortSel = document.createElement('select'); sortSel.id = 'sort-sel-optsweep';
|
| 476 |
+
[['speedup', 'By Best Speedup'], ['baseline', 'By Baseline Throughput'], ['family', 'By Model Family']].forEach(([v, t]) => {
|
| 477 |
+
const o = document.createElement('option'); o.value = v; o.textContent = t; sortSel.appendChild(o);
|
| 478 |
+
});
|
| 479 |
+
sortSel.value = state.sort;
|
| 480 |
+
sortSel.addEventListener('change', () => { state.sort = sortSel.value; render(); });
|
| 481 |
+
sortGroup.appendChild(sortLabel); sortGroup.appendChild(sortSel);
|
| 482 |
+
|
| 483 |
+
controls.appendChild(metricGroup); controls.appendChild(sortGroup);
|
| 484 |
+
container.appendChild(controls);
|
| 485 |
+
|
| 486 |
+
// ββ Legend ββ
|
| 487 |
+
const legend = document.createElement('div'); legend.className = 'legend';
|
| 488 |
+
|
| 489 |
+
// Tier shapes section
|
| 490 |
+
const tierTitle = document.createElement('div'); tierTitle.className = 'legend-title'; tierTitle.textContent = 'Legend';
|
| 491 |
+
legend.appendChild(tierTitle);
|
| 492 |
+
const tierSection = document.createElement('div'); tierSection.className = 'legend-section';
|
| 493 |
+
TIERS.forEach(tier => {
|
| 494 |
+
const item = document.createElement('span'); item.className = 'item';
|
| 495 |
+
// SVG swatch for shape
|
| 496 |
+
const svgNS = 'http://www.w3.org/2000/svg';
|
| 497 |
+
const shapeSvg = document.createElementNS(svgNS, 'svg');
|
| 498 |
+
shapeSvg.setAttribute('width', '14'); shapeSvg.setAttribute('height', '14');
|
| 499 |
+
shapeSvg.setAttribute('viewBox', '-8 -8 16 16');
|
| 500 |
+
shapeSvg.style.display = 'block';
|
| 501 |
+
const path = document.createElementNS(svgNS, 'path');
|
| 502 |
+
path.setAttribute('d', shapeGenerators[tier].size(SHAPE_SIZE)());
|
| 503 |
+
path.setAttribute('fill', 'var(--text-color)');
|
| 504 |
+
shapeSvg.appendChild(path);
|
| 505 |
+
const swWrap = document.createElement('span'); swWrap.className = 'shape-swatch'; swWrap.appendChild(shapeSvg);
|
| 506 |
+
const txt = document.createElement('span'); txt.textContent = tier;
|
| 507 |
+
item.appendChild(swWrap); item.appendChild(txt); tierSection.appendChild(item);
|
| 508 |
+
});
|
| 509 |
+
// "Best" indicator
|
| 510 |
+
const bestItem = document.createElement('span'); bestItem.className = 'item';
|
| 511 |
+
const bestSw = document.createElement('span'); bestSw.className = 'swatch';
|
| 512 |
+
bestSw.style.background = BEST_COLOR; bestSw.style.border = '1.5px solid var(--text-color)';
|
| 513 |
+
const bestTxt = document.createElement('span'); bestTxt.textContent = 'Best';
|
| 514 |
+
bestItem.appendChild(bestSw); bestItem.appendChild(bestTxt); tierSection.appendChild(bestItem);
|
| 515 |
+
legend.appendChild(tierSection);
|
| 516 |
+
|
| 517 |
+
// Family colors section
|
| 518 |
+
const famSection = document.createElement('div'); famSection.className = 'legend-section'; famSection.style.marginTop = '4px';
|
| 519 |
+
FAMILIES.forEach((fam, i) => {
|
| 520 |
+
const item = document.createElement('span'); item.className = 'item';
|
| 521 |
+
const sw = document.createElement('span'); sw.className = 'swatch'; sw.style.background = familyPalette[i];
|
| 522 |
+
const txt = document.createElement('span'); txt.textContent = fam;
|
| 523 |
+
item.appendChild(sw); item.appendChild(txt); famSection.appendChild(item);
|
| 524 |
+
});
|
| 525 |
+
legend.appendChild(famSection);
|
| 526 |
+
container.appendChild(legend);
|
| 527 |
+
|
| 528 |
+
// ββ Initial render + resize ββ
|
| 529 |
+
render();
|
| 530 |
+
if (window.ResizeObserver) {
|
| 531 |
+
new ResizeObserver(() => render()).observe(container);
|
| 532 |
+
} else {
|
| 533 |
+
window.addEventListener('resize', render);
|
| 534 |
+
}
|
| 535 |
+
};
|
| 536 |
+
|
| 537 |
+
if (document.readyState === 'loading') {
|
| 538 |
+
document.addEventListener('DOMContentLoaded', () => ensureD3(bootstrap), { once: true });
|
| 539 |
+
} else {
|
| 540 |
+
ensureD3(bootstrap);
|
| 541 |
+
}
|
| 542 |
+
})();
|
| 543 |
+
</script>
|