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Add HPL-MxP results for SC24
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‎hpl-mxp.org/results.md‎

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@@ -6,6 +6,313 @@ Since 2019, various supercomputing installations started reporting
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performance results bi-annually. Below are the currently available
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results.
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<table class="table table-striped table-hover caption-top">
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<caption>November 2024</caption>
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<colgroup>
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<col span="8" style="align:cetner">
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</colgroup>
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<tr>
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<th>Rank</th>
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<th>Site</th>
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<th>Computer</th>
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<th>Cores</th>
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<th>HPL-MxP (Eflop/s)</th>
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<th>TOP500 Rank</th>
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<th>HPL Rmax (Eflop/s)</th>
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<th>Speedup</th>
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</tr>
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<tr>
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<td>1</td>
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<td>DOE/SC/ANL</td>
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<td>Aurora</td>
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<td>8,159,232</td>
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<td>11.643</td>
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<td>3</td>
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<td>1.0120</td>
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<td>11.5</td>
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</tr>
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<tr>
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<td>2</td>
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<td>DOE/SC/ORNL</td>
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<td>Frontier</td>
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<td>8,560,640</td>
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<td>11.390</td>
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<td>2</td>
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<td>1.3530</td>
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<td>8.4</td>
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</tr>
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<tr>
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<td>3</td>
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<td>EuroHPC/CSC</td>
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<td>LUMI</td>
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<td>2,752,704</td>
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<td>2.350</td>
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<td>8</td>
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<td>0.3797</td>
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<td>6.2</td>
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</tr>
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<tr>
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<td>4</td>
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<td>RIKEN</td>
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<td>Fugaku</td>
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<td>7,630,848</td>
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<td>2.000</td>
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<td>6</td>
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<td>0.4420</td>
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<td>4.5</td>
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</tr>
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<tr>
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<td>5</td>
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<td>EuroHPC/CINECA</td>
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<td>Leonardo</td>
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<td>1,824,768</td>
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<td>1.842</td>
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<td>9</td>
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<td>0.2412</td>
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<td>7.6</td>
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</tr>
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<tr>
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<td>6</td>
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<td>CII, Institute of Science</td>
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<td>TSUBAME4</td>
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<td>172,800</td>
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<td>0.641</td>
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<td>47</td>
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<td>0.0255</td>
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<td>25.2</td>
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</tr>
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<tr>
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<td>7</td>
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<td>NVIDIA</td>
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<td>Selene</td>
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<td>555,520</td>
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<td>0.630</td>
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<td>23</td>
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<td>0.0635</td>
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<td>9.9</td>
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</tr>
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<tr>
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<td>8</td>
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<td>DOE/SC/LBNL</td>
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<td>Perlmutter</td>
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<td>888,832</td>
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<td>0.590</td>
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<td>19</td>
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<td>0.0792</td>
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<td>7.4</td>
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</tr>
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<tr>
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<td>9</td>
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<td>FZJ</td>
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<td>JUWELS BM</td>
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<td>449,280</td>
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<td>0.470</td>
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<td>33</td>
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<td>0.0441</td>
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<td>10.7</td>
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</tr>
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<tr>
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<td>10</td>
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<td>GENCI-CINES</td>
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<td>Adastra</td>
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<td>319,072</td>
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<td>0.303</td>
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<td>30</td>
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<td>0.0461</td>
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<td>6.6</td>
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</tr>
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<tr>
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<td>11</td>
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<td>Pawsey Supercomputing Centre</td>
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<td>Setonix - GPU</td>
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<td>181,248</td>
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<td>0.175</td>
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<td>44</td>
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<td>0.0272</td>
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<td>6.4</td>
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</tr>
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<tr>
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<td>12</td>
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<td>University of Florida</td>
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<td>HiPerGator</td>
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<td>138,880</td>
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<td>0.170</td>
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<td>81</td>
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<td>0.0172</td>
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<td>9.9</td>
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</tr>
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<tr>
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<td>13</td>
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<td>SberCloud</td>
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<td>Christofari Neo</td>
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<td>98,208</td>
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<td>0.123</td>
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<td>110</td>
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<td>0.0120</td>
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<td>10.3</td>
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</tr>
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<tr>
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<td>14</td>
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<td>DOE/SC/ANL</td>
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<td>Polaris</td>
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<td>256,592</td>
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<td>0.114</td>
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<td>46</td>
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<td>0.0258</td>
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<td>4.4</td>
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</tr>
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<tr>
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<td>15</td>
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<td>ITC</td>
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<td>Wisteria</td>
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<td>368,640</td>
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<td>0.100</td>
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<td>59</td>
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<td>0.0221</td>
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<td>4.5</td>
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</tr>
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<tr>
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<td>16</td>
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<td>NSC</td>
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<td>Berzelius</td>
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<td>59,520</td>
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<td>0.050</td>
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<td>212</td>
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<td>0.0053</td>
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<td>9.5</td>
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</tr>
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<tr>
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<td>17</td>
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<td>Cyfronet</td>
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<td>Athena</td>
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<td>47,616</td>
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<td>0.050</td>
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<td>218</td>
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<td>0.0051</td>
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<td>9.9</td>
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</tr>
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<tr>
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<td>18</td>
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<td>KTH - Royal Institute of Technology</td>
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<td>Dardel GPU</td>
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<td>52,864</td>
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<td>0.048</td>
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<td>127</td>
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<td>0.0083</td>
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<td>5.8</td>
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</tr>
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<tr>
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<td>19</td>
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<td>Nagoya</td>
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<td>Flow Type I</td>
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<td>110,592</td>
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<td>0.030</td>
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<td>179</td>
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<td>0.0066</td>
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<td>4.5</td>
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</tr>
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<tr>
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<td>20</td>
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<td>TRUBA</td>
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<td>ARF ACC</td>
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<td>14,208</td>
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<td>0.027</td>
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<td>236</td>
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<td>0.0044</td>
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<td>6.1</td>
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</tr>
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<tr>
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<td>21</td>
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<td>NVIDIA</td>
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<td>Tethys</td>
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<td>19,840</td>
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<td>0.024</td>
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<td>0</td>
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<td>0.0023</td>
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<td>10.6</td>
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</tr>
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<tr>
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<td>22</td>
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<td>NVIDIA</td>
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<td>DGX Saturn V</td>
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<td>87,040</td>
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<td>0.022</td>
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<td>261</td>
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<td>0.0040</td>
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<td>5.5</td>
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</tr>
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<tr>
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<td>23</td>
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<td>Hewlett Packard Enterprise</td>
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<td>Champollion</td>
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<td>19,840</td>
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<td>0.017</td>
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<td>0</td>
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<td>0.0023</td>
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<td>7.3</td>
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</tr>
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<tr>
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<td>24</td>
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<td>CloudMTS</td>
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<td>MTS GROM</td>
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<td>19,840</td>
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<td>0.015</td>
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<td>0</td>
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<td>0.0023</td>
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<td>6.6</td>
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</tr>
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<tr>
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<td>25</td>
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<td>Calcul Quebec/Compute Canada</td>
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<td>Narval</td>
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<td>276,480</td>
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<td>0.014</td>
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<td>196</td>
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<td>0.0059</td>
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<td>2.4</td>
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</tr>
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<tr>
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<td>26</td>
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<td>DOE/SC/ANL</td>
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<td>ThetaGPU</td>
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<td>280,320</td>
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<td>0.012</td>
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<td>170</td>
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<td>0.0069</td>
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<td>1.7</td>
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</tr>
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<tr>
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<td>27</td>
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<td>IICT</td>
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<td>HEMUS</td>
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<td>19,840</td>
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<td>0.011</td>
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<td>450</td>
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<td>0.0025</td>
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<td>4.2</td>
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</tr>
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<tr>
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<td>28</td>
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<td>Indiana University</td>
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<td>Big Red 200 GPU</td>
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<td>31,744</td>
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<td>0.006</td>
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<td>467</td>
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<td>0.0032</td>
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<td>1.9</td>
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</tr>
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<tr>
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<td>29</td>
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<td>Texas A&M University</td>
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<td>Grace GPU</td>
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<td>43,200</td>
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<td>0.004</td>
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<td>419</td>
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<td>0.0026</td>
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<td>1.5</td>
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</tr>
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</table>
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<table class="table table-striped table-hover caption-top">
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<caption>June 2024</caption>
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<colgroup>

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