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Last active March 25, 2019 13:45
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regcm-performance-ceph-cern.html
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <html><!--
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url: file:///tmp/lu8213od5iqt.tmp/lu8213od5iqz.tmp/plots_timings_ceph_cern.htm
saved date: Mon Mar 25 2019 14:43:19 GMT+0100 (Central European Standard Time)
--><meta charset=utf-8>
<title></title>
<meta name=generator content="LibreOffice 6.1.5.2 (Linux)">
<meta name=created content=2019-03-25T11:33:56.264232791>
<meta name=changed content=2019-03-25T14:04:22.127248758>
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<p></p><center>
<h1>Overview</h1>
<a href=#table0>regcm</a><br>
<a href=#table1>ior</a><br>
</center><p></p>
<hr>
<a name=table0><h1>Sheet 1: <em>regcm</em></h1></a>
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<td height=17 align=left><b>REGCM</b></td>
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<td colspan=8 rowspan=21 align=left><br><img 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 width=576 vspace=12 hspace=57 height=384>
</td>
</tr>
<tr>
<td style="border-top:1px solid #000000;border-left:1px solid #000000" valign=middle height=17 align=center><b>SERIAL</b></td>
<td style="border-top:1px solid #000000" align=left>1 node (20p)</td>
<td style="border-top:1px solid #000000" align=left>2 nodes (40p)</td>
<td style="border-top:1px solid #000000" align=left>4 nodes (80p)</td>
<td style="border-top:1px solid #000000" align=left>8 nodes (160p)</td>
<td style="border-top:1px solid #000000" align=left>16 nodes (320p)</td>
<td style="border-top:1px solid #000000;border-right:1px solid #000000" align=left>32 nodes (640p)</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi</b></td>
<td sdval=2011 sdnum=1033; align=right>2011</td>
<td sdval=1004 sdnum=1033; align=right>1004</td>
<td sdval=467 sdnum=1033; align=right>467</td>
<td sdval=242 sdnum=1033; align=right>242</td>
<td sdval=170 sdnum=1033; align=right>170</td>
<td style="border-right:1px solid #000000" sdval=118 sdnum=1033; align=right>118</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi+pnetcdf</b></td>
<td sdval=2678 sdnum=1033; align=right>2678</td>
<td sdval=1008 sdnum=1033; align=right>1008</td>
<td sdval=473 sdnum=1033; align=right>473</td>
<td sdval=247 sdnum=1033; align=right>247</td>
<td sdval=168 sdnum=1033; align=right>168</td>
<td style="border-right:1px solid #000000" sdval=117 sdnum=1033; align=right>117</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>openmpi</b></td>
<td sdval=2025 sdnum=1033; align=right>2025</td>
<td sdval=1023 sdnum=1033; align=right>1023</td>
<td sdval=481 sdnum=1033; align=right>481</td>
<td sdval=243 sdnum=1033; align=right>243</td>
<td sdval=175 sdnum=1033; align=right>175</td>
<td style="border-right:1px solid #000000" sdval=1137 sdnum=1033; align=right>1137</td>
</tr>
<tr>
<td style="border-bottom:1px solid #000000;border-left:1px solid #000000" height=17 align=left><b>openmpi+pnetcdf</b></td>
<td style="border-bottom:1px solid #000000" sdval=2684 sdnum=1033; align=right>2684</td>
<td style="border-bottom:1px solid #000000" sdval=1022 sdnum=1033; align=right>1022</td>
<td style="border-bottom:1px solid #000000" sdval=482 sdnum=1033; align=right>482</td>
<td style="border-bottom:1px solid #000000" sdval=274 sdnum=1033; align=right>274</td>
<td style="border-bottom:1px solid #000000" sdval=250 sdnum=1033; align=right>250</td>
<td style="border-bottom:1px solid #000000;border-right:1px solid #000000" sdval=1162 sdnum=1033; align=right>1162</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td style="border-top:1px solid #000000;border-left:1px solid #000000" valign=middle height=32 align=center><b>SERIAL scalability<br>(intelmpi 1 node / X )</b></td>
<td style="border-top:1px solid #000000" align=left>1 node (20p)</td>
<td style="border-top:1px solid #000000" align=left>2 nodes (40p)</td>
<td style="border-top:1px solid #000000" align=left>4 nodes (80p)</td>
<td style="border-top:1px solid #000000" align=left>8 nodes (160p)</td>
<td style="border-top:1px solid #000000" align=left>16 nodes (320p)</td>
<td style="border-top:1px solid #000000;border-right:1px solid #000000" align=left>32 nodes (640p)</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi</b></td>
<td sdval=1 sdnum=1033;0;#,##0.00 align=right>1.00</td>
<td sdval=2.00298804780877 sdnum=1033;0;#,##0.00 align=right>2.00</td>
<td sdval=4.30620985010707 sdnum=1033;0;#,##0.00 align=right>4.31</td>
<td sdval=8.3099173553719 sdnum=1033;0;#,##0.00 align=right>8.31</td>
<td sdval=11.8294117647059 sdnum=1033;0;#,##0.00 align=right>11.83</td>
<td style="border-right:1px solid #000000" sdval=17.0423728813559 sdnum=1033;0;#,##0.00 align=right>17.04</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi+pnetcdf</b></td>
<td sdval=0.750933532486931 sdnum=1033;0;#,##0.00 align=right>0.75</td>
<td sdval=1.99503968253968 sdnum=1033;0;#,##0.00 align=right>2.00</td>
<td sdval=4.25158562367865 sdnum=1033;0;#,##0.00 align=right>4.25</td>
<td sdval=8.1417004048583 sdnum=1033;0;#,##0.00 align=right>8.14</td>
<td sdval=11.9702380952381 sdnum=1033;0;#,##0.00 align=right>11.97</td>
<td style="border-right:1px solid #000000" sdval=17.1880341880342 sdnum=1033;0;#,##0.00 align=right>17.19</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>openmpi</b></td>
<td sdval=0.993086419753086 sdnum=1033;0;#,##0.00 align=right>0.99</td>
<td sdval=1.96578690127077 sdnum=1033;0;#,##0.00 align=right>1.97</td>
<td sdval=4.18087318087318 sdnum=1033;0;#,##0.00 align=right>4.18</td>
<td sdval=8.27572016460905 sdnum=1033;0;#,##0.00 align=right>8.28</td>
<td sdval=11.4914285714286 sdnum=1033;0;#,##0.00 align=right>11.49</td>
<td style="border-right:1px solid #000000" sdval=1.76868953386104 sdnum=1033;0;#,##0.00 align=right>1.77</td>
</tr>
<tr>
<td style="border-bottom:1px solid #000000;border-left:1px solid #000000" height=17 align=left><b>openmpi+pnetcdf</b></td>
<td style="border-bottom:1px solid #000000" sdval=0.749254843517139 sdnum=1033;0;#,##0.00 align=right>0.75</td>
<td style="border-bottom:1px solid #000000" sdval=1.96771037181996 sdnum=1033;0;#,##0.00 align=right>1.97</td>
<td style="border-bottom:1px solid #000000" sdval=4.17219917012448 sdnum=1033;0;#,##0.00 align=right>4.17</td>
<td style="border-bottom:1px solid #000000" sdval=7.33941605839416 sdnum=1033;0;#,##0.00 align=right>7.34</td>
<td style="border-bottom:1px solid #000000" sdval=8.044 sdnum=1033;0;#,##0.00 align=right>8.04</td>
<td style="border-bottom:1px solid #000000;border-right:1px solid #000000" sdval=1.73063683304647 sdnum=1033;0;#,##0.00 align=right>1.73</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td style="border-top:1px solid #000000;border-left:1px solid #000000" valign=middle height=17 align=center><b>PARALLEL</b></td>
<td style="border-top:1px solid #000000" align=left>1 node (20p)</td>
<td style="border-top:1px solid #000000" align=left>2 nodes (40p)</td>
<td style="border-top:1px solid #000000" align=left>4 nodes (80p)</td>
<td style="border-top:1px solid #000000" align=left>8 nodes (160p)</td>
<td style="border-top:1px solid #000000" align=left>16 nodes (320p)</td>
<td style="border-top:1px solid #000000;border-right:1px solid #000000" align=left>32 nodes (640p)</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi</b></td>
<td sdval=2005 sdnum=1033; align=right>2005</td>
<td sdval=1000 sdnum=1033; align=right>1000</td>
<td sdval=468 sdnum=1033; align=right>468</td>
<td sdval=314 sdnum=1033; align=right>314</td>
<td sdval=170 sdnum=1033; align=right>170</td>
<td style="border-right:1px solid #000000" sdval=118 sdnum=1033; align=right>118</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi+pnetcdf</b></td>
<td sdval=2674 sdnum=1033; align=right>2674</td>
<td sdval=1008 sdnum=1033; align=right>1008</td>
<td sdval=471 sdnum=1033; align=right>471</td>
<td sdval=247 sdnum=1033; align=right>247</td>
<td sdval=169 sdnum=1033; align=right>169</td>
<td style="border-right:1px solid #000000" sdval=117 sdnum=1033; align=right>117</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>openmpi</b></td>
<td sdval=2025 sdnum=1033; align=right>2025</td>
<td sdval=1022 sdnum=1033; align=right>1022</td>
<td sdval=480 sdnum=1033; align=right>480</td>
<td sdval=242 sdnum=1033; align=right>242</td>
<td sdval=177 sdnum=1033; align=right>177</td>
<td style="border-right:1px solid #000000" sdval=1127 sdnum=1033; align=right>1127</td>
</tr>
<tr>
<td style="border-bottom:1px solid #000000;border-left:1px solid #000000" height=17 align=left><b>openmpi+pnetcdf</b></td>
<td style="border-bottom:1px solid #000000" sdval=2683 sdnum=1033; align=right>2683</td>
<td style="border-bottom:1px solid #000000" sdval=1022 sdnum=1033; align=right>1022</td>
<td style="border-bottom:1px solid #000000" sdval=482 sdnum=1033; align=right>482</td>
<td style="border-bottom:1px solid #000000" sdval=289 sdnum=1033; align=right>289</td>
<td style="border-bottom:1px solid #000000" sdval=175 sdnum=1033; align=right>175</td>
<td style="border-bottom:1px solid #000000;border-right:1px solid #000000" sdval=1161 sdnum=1033; align=right>1161</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
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</tr>
<tr>
<td style="border-top:1px solid #000000;border-left:1px solid #000000" valign=middle height=32 align=center><b>PARALLEL scalability<br>(intelmpi 1 node / X )</b></td>
<td style="border-top:1px solid #000000" align=left>1 node (20p)</td>
<td style="border-top:1px solid #000000" align=left>2 nodes (40p)</td>
<td style="border-top:1px solid #000000" align=left>4 nodes (80p)</td>
<td style="border-top:1px solid #000000" align=left>8 nodes (160p)</td>
<td style="border-top:1px solid #000000" align=left>16 nodes (320p)</td>
<td style="border-top:1px solid #000000;border-right:1px solid #000000" align=left>32 nodes (640p)</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi</b></td>
<td sdval=1 sdnum=1033;0;#,##0.00 align=right>1.00</td>
<td sdval=2.005 sdnum=1033;0;#,##0.00 align=right>2.01</td>
<td sdval=4.28418803418803 sdnum=1033;0;#,##0.00 align=right>4.28</td>
<td sdval=6.38535031847134 sdnum=1033;0;#,##0.00 align=right>6.39</td>
<td sdval=11.7941176470588 sdnum=1033;0;#,##0.00 align=right>11.79</td>
<td style="border-right:1px solid #000000" sdval=16.9915254237288 sdnum=1033;0;#,##0.00 align=right>16.99</td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>intelmpi+pnetcdf</b></td>
<td sdval=0.74981301421092 sdnum=1033;0;#,##0.00 align=right>0.75</td>
<td sdval=1.9890873015873 sdnum=1033;0;#,##0.00 align=right>1.99</td>
<td sdval=4.25690021231423 sdnum=1033;0;#,##0.00 align=right>4.26</td>
<td sdval=8.11740890688259 sdnum=1033;0;#,##0.00 align=right>8.12</td>
<td sdval=11.8639053254438 sdnum=1033;0;#,##0.00 align=right>11.86</td>
<td style="border-right:1px solid #000000" sdval=17.1367521367521 sdnum=1033;0;#,##0.00 align=right>17.14</td>
<td colspan=8 rowspan=23 align=left><br><img 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" width=576 vspace=15 hspace=57 height=384>
</td>
</tr>
<tr>
<td style="border-left:1px solid #000000" height=17 align=left><b>openmpi</b></td>
<td sdval=0.990123456790123 sdnum=1033;0;#,##0.00 align=right>0.99</td>
<td sdval=1.96183953033268 sdnum=1033;0;#,##0.00 align=right>1.96</td>
<td sdval=4.17708333333333 sdnum=1033;0;#,##0.00 align=right>4.18</td>
<td sdval=8.28512396694215 sdnum=1033;0;#,##0.00 align=right>8.29</td>
<td sdval=11.3276836158192 sdnum=1033;0;#,##0.00 align=right>11.33</td>
<td style="border-right:1px solid #000000" sdval=1.7790594498669 sdnum=1033;0;#,##0.00 align=right>1.78</td>
</tr>
<tr>
<td style="border-bottom:1px solid #000000;border-left:1px solid #000000" height=17 align=left><b>openmpi+pnetcdf</b></td>
<td style="border-bottom:1px solid #000000" sdval=0.747297800969065 sdnum=1033;0;#,##0.00 align=right>0.75</td>
<td style="border-bottom:1px solid #000000" sdval=1.96183953033268 sdnum=1033;0;#,##0.00 align=right>1.96</td>
<td style="border-bottom:1px solid #000000" sdval=4.1597510373444 sdnum=1033;0;#,##0.00 align=right>4.16</td>
<td style="border-bottom:1px solid #000000" sdval=6.93771626297578 sdnum=1033;0;#,##0.00 align=right>6.94</td>
<td style="border-bottom:1px solid #000000" sdval=11.4571428571429 sdnum=1033;0;#,##0.00 align=right>11.46</td>
<td style="border-bottom:1px solid #000000;border-right:1px solid #000000" sdval=1.72695951765719 sdnum=1033;0;#,##0.00 align=right>1.73</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
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</tr>
<tr>
<td colspan=4 rowspan=31 height=529 align=left><br><img src=data:image/png;base64,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IIghkkQARBMIMEiCAIZlhbgPhXOsXExAjvJdm3b98777zz+++/azSaSZMm6XzqFxQUFISFheXl5bm4uMTFxQUGBurLJAhCXVhVgHbu3Lly5Urxd1pu3749cODAPXv2dO3a9ZdffvHy8vL29ha/Mq6srCwkJCQ0NBTKlZaWhvSpU6dcXV2lmfSKA4JQHVYVoPz8/OTkZPF7+S9cuFBcXMy/zNzd3b158+Y//vijWIAyMzOLioqioqL4z5P7+flt27YNBaSZkZGR1vwtBEFUHqsK0KxZs3Ry4A09++yzq1evHjVq1IkTJ86dOyd8u4InJycHbpHwwQz4R9nZ2fb29tJMy5tPEISZYbwIXb169TVr1gQFBc2fP//mzZuLFy9u1qyZuEBhYaH4BbpI5+bmymZay2SCIMwGYwG6cePGwIEDk5KS/P39L1682KVLF/hEhj9wLvvpOPN+T44gCOvAWIBSU1ObNGnCf8UJCYjR1q1bxQLk7OxcVFQkbCLtrEWaKT6s7JekCIKwHIhjTKjFPgQrKSkRNh8+fIgccQFfX9/o6OjS0lI7OztsZmVlBQcHy2aKa0nbApJkWgNZHxWZypG1FkNFpnKVmPIZC1D37t3Hjx+/f/9+OEGXL1/euXPnmjVrxAWgNe7u7jExMVAcuEuZmZkJCQmOjo7STFY/gSAIk7GeAMHTsbe3R6K4uDg9PT0qKmrs2LHx8fHbt29/++23b968WaNGDQgKr/o+Pj7h4eEREREajSYxMTE0NDQ2NtbDwyMpKcnJyQkFZDMJglAX1hOgatWq3bt3T5rfS4tOpvi2uqenZ0ZGhk4B2UyCINQF/S0YQRDMIAEiCIIZJEAEQTCDBIggCGaQABEEUTn86z+6dR30mwlVSYAIgqgE/vX/TuyvsAaRABEEUWE0vd/Hv2UlsY/l+tfXVIt+lL/3HSOPQwJEEIQp6KrP/zJ5DTISEiCCICqMrPqIdpEHRBCExYCbo0+DHu0y+jgkQARBMIMEiCCICmPA/anQcUiACIKoIMKt9//BR2QVVR+OBIggiEpisvpwJEAEQVSMx90fXndMUx+OBIggiAogCb4qCQkQQRAmIjz3bPIbrEmACIIwDrngy/i/upCFBIggCCOQC74qqT4cCRBBEOUjd9/dLAcmASIIomKYJfjisbYApaenDxgwICYmJiIigs+5e/cu0snJyTVr1kRi5syZOlUKCgrCwsLy8vJcXFzi4uICAwP1ZRIEYX4ssPQjYFUB2rlz58qVK1u0aCHOjI6OvnHjxqVLlwoLC7t169a3b9+2bdsKe8vKykJCQkJDQ6FcaWlpSJ86dcrV1VWa6ebmZs3fQhBVAnPfd9fBqgKUn58PTwcekJBz7969tWvXHj16tHbt2u7u7ufOndOpkpmZWVRUFBUVpdFoAgIC/Pz8tm3b1rlzZ2lmZGSkNX8LQVRBzOv+cFYWoFmzZunk5OTk1KpVq02bNvqqoICXlxeEht/09vbOzs62t7eXZlrGZIKowlgy+OJhvAh95cqVBg0awJfZsWPHgwcPxo4dO3fuXHEBxGUODg7CJtK5ubmymdYymSCqBhYOvngYC9DDhw/PnDnj4+OzePHiCxcudOrUqXXr1iEhIQaqCI5PuZkEQZgLS7g/HHMBeuqppxBPvf7660g//fTTQ4YM2bdvn1iAnJ2di4qKhE2knbVIM8WHTUlJkZ5LNlOZqMhUjqy1GAxNDYobId7k1WfX5BfMbhJjAWrTps3du3d///33OnXqcFqHqGbNmuICvr6+0dHRpaWldnZ22MzKygoODpbNFNeS/lmKyX+rYn1UZCpH1loMlqZW/KFnk4WJsQA1aNAArQw1WbZs2fnz57/88stNmzaJC0Br3N3dY2JiUCY1NTUzMzMhIcHR0VGayeonEIRtY66HnmWxngCVlJQg2kKiuLg4PT09Kipq7Nix8fHxn3zySVhYGJTIwcFh9uzZvXv3RhkfH5/w8PCIiAiNRpOYmBgaGhobG+vh4ZGUlOTk5IQCspkEQVQWy9/5EmM9AapWrdq9e/ek+c7OzsnJyTqZ4tvqnp6eGRkZOgVkMwmCqBSW+YtTA9DfghEEIY9Fgy8eEiCCILRYN/jiIQEiCIJB8MVDAkQQhC5WCL54SIAIosrDIvjiIQEiiKoNo+CLhwSIIIi/efSVQWupD0cCRBBVGrngy5qQABFEVYVp8MVDAkQQVRK5D11YWX04EiCCIDgWwRcPCRBBVD3Y3XfXgQSIIKoYClj6ESABIogqDavgi4cEiCCqEooJvnhIgAiiyqCk4IuHBIggqihM7rvrQAJEEFUD1g89y0ICRBBVAOUFXzwkQARR5VBC8MVDAkQQto4igy8eawtQenr6gAEDYmJiIiIixPl3795t1apVnz59Vq1apVOloKAgLCwsLy/PxcUlLi4uMDBQXyZBELooNfjisaoA7dy5c+XKlS1atJDuio2NLS0tleaXlZWFhISEhoZCudLS0pA+deqUq6urNNPNzc3yv4Ag1I1ygi8eqwpQfn5+cnIyPCCd/PPnz2/ZsmXkyJE3btzQ2ZWZmVlUVBQVFaXRaAICAvz8/LZt29a5c2dpZmRkpLV+B0GoBAUHXzxWFaBZs2bJ5k+ZMmXu3LmQIemunJwcLy8vCA2/6e3tnZ2dbW9vL820jMkEoVqUHXzxsF+E3rNnz5UrV4YPHx4TEyPdW1hY6ODgIGwinZubK5tpeUsJQsUoLfjiYSxADx48QOi0bt06wZ0pF9mSxlcniCqB4oMvHsYCFBcX5+Pj07VrV30FnJ2di4qKhE2knbVIM8W1UlJSpIeSzVQmKjKVI2sthsmmBsWNkGbumvyCAn87YwE6efJkenq6i4sL0n/88UdJSUl+fv6hQ4eEAr6+vtHR0aWlpXZ2dtjMysoKDg6WzRQfNigoSOdEaHpppjJRkakcWWsxTDeVxbtWTZY2xgK0ceNGIb1w4cJLly7pPAcErXF3d4+JiYHipKamZmZmJiQkODo6SjOtbjtBqABlLv0IWE+A4N3Y29sjUVxcDK8nKipq7Nix8fHxsoURl4WHh0dERGg0msTExNDQ0NjYWA8Pj6SkJCcnJxSQzSSIqo5Kln4ErCdA1apVu3fvnoECs2fPFtLi2+qenp4ZGRk6hWUzCaJKo4b77jqwvw1PEIQlUHjwxUMCRBA2gdqCLx4SIIJQPyoMvnhIgAjC1lBF8MVDAkQQKkedwRcPCRBBqBnVBl88JEAEYTuoKPjiIQEiCNUiCb7UpT4cCRBBqBW54Et1kAARhC2gRveHIwEiCFWi/uCLhwSIINSGTQRfPCRABKFu1Ov+cCRABKEybCX44iEBIgj1YEPBFw8JEEGoFbW7PxwJEEGoBtsKvnhIgAhCDUiCLxtQH44EiCBUgOyHLphYYm5IgAhCZdhG8MVDAkQQysYWl34ErC1A6enpAwYMiImJiYiI4HMyMjKmT59++vRpJyenOXPmjB49WqdKQUFBWFhYXl6ei4tLXFxcYGCgvkyCsDVs7r67DlYVoJ07d65cubJFixZCzq1bt6Ad8fHxI0eOPHr0qL+/f/v27Vu3bi0UKCsrCwkJCQ0NhXKlpaUhferUKVdXV2mmm5ubNX8LQVgfG3N/OCsLUH5+fnJyMjwgIefBgwdLliwZNWoU0p07d/b29j5+/LhYgDIzM4uKiqKiojQaTUBAgJ+f37Zt21BSmhkZGWnN30IQFsemgy8eqwrQrFmzdHIaNmwYHh7Op+Hs/Pzzz08//bS4QE5OjpeXF4SG34RCZWdn29vbSzMtazpBWBP/+ur4gn2lUdAi9OLFi93d3Xv27CnOLCwsdHBwEDaRzs3Nlc20lpkEYRE0vd/nE2UlsTJ7bdH94ZQjQKtWrVq+fHl6erqdnZ3hkoLjU24mQagOfepjfUusgyIEaOnSpStWrDh48GCzZs10djk7OxcVFQmbSDtrkWaKa6WkpEjPIpupTFRkKkfWmg9Z9RFQsuUmw16Atm7dGh8fD/Vp0qSJdK+vr290dHRpaSnvGWVlZQUHB8tmimsFBelG0Lh40kxloiJTObLWfJTFjdC7qyQWTpBiLecqIY6MBejOnTuRkZFJSUmy6sNpBcjd3T0mJgaKk5qampmZmZCQ4OjoKM20suUEYVGGjai3ZfNtPv1oAeiRc0RrQJWgpKTE3t4eieLi4vT09KioqLFjx/r5+V27ds3f318oNmHChLi4OB8fn/Dw8IiICI1Gk5iYGBoaGhsb6+HhAalycnJCMdlMglAv/1MZGXgPyDb++EsH6wlQtWrV7t27J80vK5NpWPFtdU9Pz4yMDJ0CspkEYRvA/eFEThAtQhMEYVn0uT82rD4cCRBBKAL/+txyRz457LuHQjacoLIOa/63RWtABEGYHVv/i1MDkAARBFME9YksghMkdn94kLOlQ3XNtDfL9lrbNCtAAkQQ7BD5Pppq0UO/+0i+mNd5m1QfjgSIIJihoz7D9KgPnKD1TbaMuWgVm6wNCRBBsMBo9bFtSIAIwuo8rj7G1LBVJ4gEiCCsi0R9qqz7w5EAEYRVeVx9ypaukd72euTpnGyqk2+T7g9HAkQQ1sNI9eEe3fbivpP/82wbgwSIIKyC8erDpztUf+yRaFoDIgjCRMTPOu//rexkU2kRm9SXciEBIggL87j6cFr1KXeJJ+Wn+C0dJkm9JBuDBIggLIkR6mMkNhmFkQARhMUQq89yR33qo1dWqsBSNAkQQVie/71qQ4php0ZnKdr2IAEiCMsguD8i9ank0z22F4WRABGEBTBCfYzC1qMwEiCCMDfGqY+RvoxtPxBEAkQQZsWs6mPzWFuA0tPTBwwYEBMTExERwecUFBSEhYXl5eW5uLjExcUFBgbqVJEtUG4tgmAArz76l5x5KqY+Xue3cLp/GmYzWFWAdu7cuXLlyhYtWgg5ZWVlISEhoaGhEKa0tDSkT5065ebmZriAq6ur4VoEwQA96mP2Pyu1pSjMqgKUn5+fnJwMD0jIyczMLCoqioqK0mg0AQEBfn5+27Zti4yMNFygc+fOhmsRhLUxTn1MxHaXoq0qQLNmzdLJycnJ8fLygo7wm97e3uJPEuorYG9vb7gWQVgVo9XHZM/FVh8IYrwIXVhY6ODgIGwinZubW26BcmsRhPWwvPpIsZkoTHF3wQS/pkIFdDJTUlKkZWQzlYmKTOWqtrVBcSMe/SdRH820N3Xec/h6w48reurHy8dz3AT9e9UKYwFydnYuKioSNpFGTrkFyq0VFBSkcyJcLWmmMlGRqVwVt1bfPS+v80OHPbZkY4K3IjU16ORjfxyvqGY3WQ0ZC5Cvr290dHRpaamdnR02s7KygoODyy1Qbi2CsDiijyk/htd5xEcWOePjS9G2EYWxFyB3d/eYmBgISmpqamZmZkJCQrkFHB0dDdciCMtSEfWxAZmwHNYToJKSEnt7eySKi4vT09OjoqLGjh0bHx+fmJgYGhoaGxvr4eGRlJTk5OSEMj4+PuHh4RERERqNRraAbCZBWAN26mN7f5ZhPQGqVq3avXv3pPmenp4ZGRk6meLb6rIFZDMJwuLIqg+CIznMrw4290CQ4u6CEYRyMag+Ou7P1i0Tt4wxvwk29kAQCRBBGEdF1AeU7X3HCkapPQojASIIIzjZtELqY0FRsK0ojASIIMpD7is6BtTHQsGXgC1FYSRABGEQg+ojBepj8eDLhh4IIgEiCP2Upz7ShWfrLP3YDCRABKEHqfo87vhY6olnI7CZB4JIgAhCjoqrj1XdH1tZiiYBIojHqeCiD4/1gy/bWIomASIIEcapj3Tpx3IWGYlKozASIIL4HyapDw+DtWebiMJIgAhCi6nqw9D9sYEojASIIMpfcubRpz7Mbr2r/4EgEiCiymOc+khhrD42AQkQUYWpyA0vBS48c+p/IIgEiKiqVEJ9BNi7PypfiiYBIqoklVMfRQVfql6KJgEibJrHhSboGeRMki9ZQfVRLOqKwkiAiCpPZBG3/zcjywrqoxD35xFqjsJIgAibBoNTNtoSMKg++haeFaQ+WtQbhZEAEVWYiqiPolHtA0HsBWjfvn3vvPPO77//rtFoJk2aNGHCBJ0CBQUFYWFheXl5Li4ucXFxgYGB+jIJQgZ9TlAF1Uex7o+qYSxAt2/fHjhw4J49e7p27frLL794eXl5e3t37txZKFBWVhYSEhIaGpqenp6Wlob0qVOnXF1dpZlubm4MfwihMmxOfVT6QBBjAbpw4UJxcTHUB2l3d/fmzZv/+OOPYgHKzMwsKiqKioqCfxQQEODn57dt2zYUkGZGRkay+x2EgjG8BmQECr/t9RfqXIpmLEAtWrR49tlnV69ePWrUqBMnTpw7d65nz57iAjk5OXCLIDT8Jvyj7Oxse3t7aaaVLSfUgb7gSz8GnnhWrPvDo8alaMYCVL169TVr1gQFBc2fP//mzZuLFy9u1qyZuEBhYaGDg4OwiXRubq5sprVMJtSDAd8H8Zd/fWkUZmDhWeHq8wgVLkUzFqAbN24MHDgwKSnJ39//4sWLXbp0gU+EqMpAFcHxKTeTqNLoUx9+9cc49VFH8KVmGAtQampqkyZNoD5IIwEx2rp1q1iAnJ2di4r+dpiRdtYizRQfNiUlRXou2UxloiJTOUVaG/SM5HFnPuxa7pgydXOQf338yz1u9qZfdW+/itVn1+QXrP8zTTijThSmwEujA/sQrKSkRNh8+PAhcsQFfH19o6OjS0tL7ezssJmVlRUcHCybKa6FmE7nRLgS0kxloiJTOWVaK/V9RIs+QXEj4PtILd60/jEBYr70Y2rDBomjMKiqdaIwk5WOsQB17959/Pjx+/fvhxN0+fLlnTt3rlmzRlwAWuPu7h4TEwPFgbuUmZmZkJDg6OgozWT1Ewilw6sPH3DJRV6cUl+1URVgLECNGzfevn3722+/ffPmzRo1akBQeNX38fEJDw+PiIjQaDSJiYmhoaGxsbEeHh5JSUlOTk4oIJtJELruj1h9MFEj/pLUMPzEswrWnh9HXffC2D8J3UuLTqb4trqnp2dGRoZOAdlMoqoju/Bs8A9NDS88q059HqGqe2HsBYggzIPs0o/Rf+bOQ8GXlSEBImwCk9TH8NKPKt0fLXB5xD9NyU4QCRChfsyhPjqoV33UBQkQoXLMpD42FnypZSmaBIhQM5ZRH1twf1SyFE0CRKgWc6w6czapPuqBBIiwFYxQn02/TjDwxLONoYoojASIUCdS96fivo8Um3J/1BCFkQARKsSkjylXiaUftUECRKgNy6iPTaL8B4JIgAhVYSb1wTjcuuV9cQ65P0wgASLUg5nUB2h6VxX1UfhSNAkQoRIqrj5q+rCX5VD2UjQJEKEGzK0+Q4d9pPwv7VQFSIAIFfLokR9D+433faqC+ig5CiMBIhSP9B1jFXzFjyxiJ8jGUXAURgJEKJuKPHBY0UWfquD+KBwSIELBVGTpR1Z9DPs4W8aYZJUKUewDQSRAhFKptPpIH/YhlAYJEKFIjFYffWGXQmZ45aDMpWgSIEJ5VE59SHrkUeRSNHsBunv3bkRERHJycs2aNZGYOXOmToGCgoKwsLC8vDwXF5e4uLjAwEB9mYQtYCb10XnWmVAm7AUoOjr6xo0bly5dKiws7NatW9++fdu2bSvsLSsrCwkJCQ0NTU9PT0tLQ/rUqVOurq7STDc3N4a/grAUFVcfkh596CxFKwHGAnTv3r21a9cePXq0du3a7u7u586d0ymQmZlZVFQUFRWl0WgCAgL8/Py2bdvWuXNnaWZkZCSTn0CYEx33R059yPExF0qIwhgLUE5OTq1atdq0aWOggJeXF4SG3/T29s7Ozra3t5dmWsFawrLIflbwccjxsTEYC9CVK1caNGgAX2bHjh0PHjwYO3bs3LlzxQUQlzk4OAibSOfm5spmWstkwjIYsfSjT31IeoxHaQ8EMRaghw8fnjlzxsfHZ/HixRcuXOjUqVPr1q1DQkIMVBEcHwOZKSkp0jKymcpERaZy5rA26JlJusf8KZ776e/Dbvp1AifH1i0T9T3ps2vyC+WeV+HtbB3z2DYCYwF66qmnEE+9/vrrSD/99NNDhgzZt2+fWICcnZ2LioqETaSdtUgzxYcNCgrSORFaWZqpTFRkKmcWa+V8nyCvv7dMcHz0/Y2FitrWcqYGnZwkfiDILGcxWcUYC1CbNm3u3r37+++/16lTh9M6RDVr1hQX8PX1jY6OLi0ttbOzw2ZWVlZwcLBsJhP7icpSXuSl7w8s9Dk+9Odd5aOkB4IYC1CDBg0gwFCTZcuWnT9//ssvv9y0aZO4ALTG3d09JiYGZVJTUzMzMxMSEhwdHaWZrH4CYTqmqo/swUh61Aj754A++eSTsLAwKJGDg8Ps2bN79+6NTB8fn/Dw8IiICI1Gk5iYGBoaGhsb6+HhkZSU5OTkhAKymYS6EalPRf+ylNSnQijngSD2AuTs7JycnKyTKb6t7unpmZGRoVNANpNQE/of+SHHx8owjMLYCxBRFdH/yI/x6kPSYwOQABFWR8/Sj76gQKo+JD2VRyEPBJEAEdalIupDjo/NQwJEWJHKqQ9Jj3lRwhuCSIAIa1EJ9SHpsQgKeCCIBIiwCnLqQ44PQQJEWB5T1Yekx9IwfyCIBIiwOkaoD0kPE6wfhZEAERbmcffn0arnd4bUh6SnSkECRFgSqfpIIMeHLWyjMBIgwmJURH1IehSClaMwEiDCMhitPiQ9VRkSIMICiNSHHB/lw/DPMkiACHNjnPqQ9BAcCRBhZoxQH5IeBcJqKZoEiDAf/vW55Y6cHunhSH3Ug9WiMBIgwkwYVB9eeraMsbpVhLIhASIqhsy3KD7MKyuJNaA+mEtJepSPbhSGaFrPd7HNCAkQYTrQnWEj6m3ZfNuw+ljdLsIM4Gpu8Sq/WCUhASIqRtnSNaItRw6is9yRpIcwDRIgwnR43SH1sRms/0CQUgTo7t27rVq16tOnz6pVq3R2FRQUhIWF5eXlubi4xMXFBQYG6sskrIBm2puPO0EykPoQRqIUAYqNjS0tLZXml5WVhYSEhIaGpqenp6WlIX3q1ClXV1dpppubm/XNroI8Wm+O5PSFXRypj8qx8gNBihCg8+fPb9myZeTIkTdu3NDZlZmZWVRUFBUVpdFoAgIC/Pz8tm3b1rlzZ2lmZGQkE+OrDpre7z9SHy3yYdfm25pq0XTDy5awdBSmCAGaMmXK3LlzIUPSXTk5OV5eXhAaftPb2zs7O9ve3l6aaTVrqyj+9cu0/w8bUU9fEaiP1cwhbAP2ArRnz54rV64MHz48JiZGurewsNDBwUHYRDo3N1c20/KWVlX86/P/G5Aewpaw5gNBjAXowYMHCJ3WrVsnuDPlIltSJzMlJUVaRjZTmSjH1KC4EXzCGPUZOuyjrVsmKsd4WRRunhiFmIpw+/WfLGUJYwGKi4vz8fHp2rWrvgLOzs5FRUXCJtLOWqSZ4lpBQUE6x8G1lGYqE6WYaqrjowjj9aCUtjUCtqZuWj9BvFmuJSZrJWMBOnnyZHp6uouLC9J//PFHSUlJfn7+oUOHhAK+vr7R0dGlpaV2dnbYzMrKCg4Ols1k9RNsD2Gx2YSYC04Qx9Gfm6oeqz0QxFiANm7cKKQXLlx46dIlneeAoDXu7u4xMTFQnNTU1MzMzISEBEdHR2mm1W23UYxYbCYIc8F+EVoWxGXh4eEREREajSYxMTE0NDQ2NtbDwyMpKcnJyQkFZDOJymCM4yOdBlUU1BAVwjoPBClIgGbPni2kxbfVPT09MzIydArLZhKmwUtPWQWlh6hSWCgKU5AAEWwoL+Yi6SEsBwlQ1cW0mIuoOljhgSASoKqK1vEh6SGMxxJvCCIBqnKU6/iQ9BBWgwSoCkGLzURFsfQDQSRAVQVefUh6CEVBAmT7lOv4kPQQBrDoA0EkQLYOLTYTZsW8URgJkM1CMRehfEiAbBCKuQjzYrkHgkiAbA1yfAhLY8YHgkiAbAdeeoaOqDeMI8eHUAckQDaCYceHpIeoJBaKwkiAVA85PoT1MVcURgKkYkh6CJaYwwkiAVIrFHMRVkb3zzLM4QSRAKkPcnwIm4EESE1Aejjti99JeggmmH0pmgRINVDMRSiNykdhJEAqgBwfwlYhAVI6UB/tx7bkIekhrIx5ozD2ApSRkTF9+vTTp087OTnNmTNn9OjROgUKCgrCwsLy8vJcXFzi4uICAwP1ZdoGm36dEMQ9+tCNsNgsW4ykh1AClYzCGAvQrVu3oB3x8fEjR448evSov79/+/btW7duLRQoKysLCQkJDQ1NT09PS0tD+tSpU66urtJMNzc3hj+ksmAakWwOHfaQYi5CBTzqrvGmVWUsQA8ePFiyZMmoUaOQ7ty5s7e39/Hjx8UClJmZWVRUFBUVpdFoAgIC/Pz8tm3bhpLSzMjISHa/w2xgPhH+lYWkh2CO9IGg1xuaeCjGAtSwYcPw8HA+DWfn559/fvrpp8UFcnJyvLy8IDT8JhQqOzvb3t5emmlFq82PZtqbZUvXGC5D0kPYHuzXgAQWL17s7u7es2dPcWZhYaGDg4OwiXRubq5sprXMNDP8HS4ecnwItbClQ3Vxd320cHly0t+7jV6WVooArVq1avny5enp6XZ2doZLCo6PgcyUlBRpGdlMJvT/ME9Iw/H5X9glX3jrlom7Jr+gHOOlKNk2KSqyVsmmBj2jZwekR2dB0yCKEKClS5euWLHi4MGDzZo109nl7OxcVFQkbCLtrEWaKa4VFBSkcxxcS2mmlRGcHT7aMqw7PFCfR9/wCvrN8taZiBIa1nhUZK3iTQ3ivpN7U30F78qzF6CtW7fGx8dDfZo0kfk9vr6+0dHRpaWlvGeUlZUVHBwsm2ltu41DHGEJumNYdMRAfTTVosssYRlBVA6dKOzR/fgOFdYTxgJ0586dyMjIpKQkWfXhtALk7u4eExMDxUlNTc3MzExISHB0dJRmWtlyA0hFh6ug7gg8+sOLLeayiyDMCjwdqRNUwYcSGQvQnj17rl275u/vL+RMmDAhLi7Ox8cnPDw8IiJCo9EkJiaGhobGxsZ6eHhAqpycnFBMNpMtOhEWj4F1ZYKwMUx4KJGxAA0ZMqSsTCbCEN9W9/T0zMjI0Ckgm2l9ZJ0driK6w9/eMvDhN+3fYbxjqoEEoWjYrwGpEVlnh8dI6aHb6gTBkQAZjz5nh6eSuvNYvvk+ukQQlkPWba/od1NJgMrBgLPDWcbfSfkpPshMH10iCIVDAiSDYWeHoziLqPIYWLWskBNEAvQX5YoOV/GlZYIgDFPVBchwhMVDukMQOuh0dZOf27ZdAXr8D1Ie/emK+I/ltH+AzhnUHY5CLYKwMLYrQOVReZeHdIcgKonNCpAxb9jRgXSHIKyMzQoQ97gGGfhLOdIdgmCFLQuQYWhpmSCYY+MCxDtBwouWdV4gYBjSHYKwNDYuQI/e5sU5CpvGqA/pDkFYDVsWIK360BIPQSgXmxWgv9RHz1f9BEh3CIIhNitAj95kqtUgWR69a3kvvWSHIBhjswIEfRm2Xv6T6vB6toyxsjkEQchgswJkgIq+soQgCAthswJk4HUBHGkQQSgDmxUggiCUj80KkLleF0AQhOVgL0AFBQVhYWF5eXkuLi5xcXGBgYHGFCi3FkEQyoexAJWVlYWEhISGhqanp6elpSF96tQpNzc3wwVcXV0N1yIIQhUwFqDMzMyioqKoqCiNRhMQEODn57dt27bIyEjDBTp37my4FkEQqoCxAOXk5Hh5eUFH+E1vb2/xJwn1FbC3tzdciyAIVcBYgAoLCx0cHIRNpHNzc8stUG4tgiBUAftFaB0Ev6ZCBXQyU1JSpGVkM5WJikzlyFqLoSJTTYaxADk7OxcVFQmbSCOn3ALl1pLeca8K15IgVAdjAfL19Y2Oji4tLbWzs8NmVlZWcHBwuQXKrSWLWp4DUtcjS2SthVCRqVwlJnj2AuTu7h4TEwNBSU1NzczMTEhIKLeAo6Oj4VoEQagCxgKk0WgSExNDQ0NjY2M9PDySkpKcnJyQ7+PjEx4eHhERoa+AbCZBEOqC/SK0p6dnRkaGTqb4trpsAdlMgiDUBXsBsg4qCqdVZCpH1loMFZnKVcLaqiJABEEoEBIggiCYQQJEEAQzSIAIgmAGCRBBEMwgASIIghk2KECTJ08+evRo27Zthw4d2qNHj3L/upUtKrJWRaaqi6rcsDYoQMuXLz9z5kxSUlJ4eLijo+OKFSs6duzI2ii9qMhaFZmqriFdlRvWBgUIjdK8efPo6OipU6cuWrSoZ8+eH374IS4ta7vkUZG1KjJVRUOaq9oNa4MCJFCrVq3Zs2d36NBhyJAhJSUl48aNY22RIVRkrfJNVdGQFlMFG9YGBeibb77ZsmWLl5fXxIkTn3jiid69e0OwBwwY0KpVq27durG2ThcVWasiUzmRtdOnT1fykObU1rA85tJKWxOg7du3o11w8eAcbtiwAZfWzc0tICBg3rx5uLrZ2dnVqlVjbePfqMhaFZnKyVmr2CGtroY1u1balABdunRp3bp1Bw8edHZ2njlz5qBBg/r27Xv8+HG01LRp09avX//111/379+ftZl/oSJrVWQqp99aBQ5pdTWsJbRS3QKUmpr63//+t2vXrnAFf/755xdeeMHDw8PR0RG76tWrt3Pnznbt2q1cuTIqKqpGjRrjx4//8ssvGV5OFVmrIlONt1YJQ1q9DWshrVSxACHszM/P9/Hx+eCDDzp27IjWwdUaOHDgsmXL0CIoULdu3bCwsKysLL48gtW1a9eStbZkaoWsZT6k1duwrq6ucHAQeZldK9UqQJDeo0eP/vDDD/D6Fi5cOHr06E6dOu3btw/tEhISUr169UmTJt29e3f37t1oGr5K48aNX3rpJbLWZkw1wVqGQ1rtDQsBOnnypNm1Uq0C9NNPP+Hy8DGng4MDotMxY8b06tXr2LFjSUlJmFXgE7q4uIwYMWLYsGFCLWSStTZjqgnWMhzSNtCwn3/++fTp082rlWoVID8/Pwjwjz/+2KpVK2yipXCp4AFGRERs3rwZs8rgwYP/+c9/Dh8+nLWlj1CRtSoylTPJWlZD2gYa9vr16/CMYKQZtVJlAgQlPnLkSI8ePQIDA6dMmYJrdvjw4aeeeorTttGGDRuaN29+5syZvn37JiYmYi/yGV5R3s3GLIEQWuHWYhI+cOBA586dYYDCTS0rK0NfT0tLg9s/YMAAhVtrez128eLF0dHR5tJKNQnQW2+99f3337dv3x6/HK7g/PnzEYL26dPnm2++4duoYcOGPXv2RODq6ekpXFFkBgQEMDE4Pz8fNiCBK6pkaydOnHj58mWoz+TJk69du6ZkU0FkZOTp06dhhoeHBzaVbK1N9thGjRqZUStVI0Dp6emY9LKzs/kl944dO44bNw7TCxoCmr1lyxYfH5/bt2/n5ubGxMTwVXBF9+3b5+vry8pmzHu9e/eeNWsWp72iyrR27969mIHxL9JeXl7vv//+1KlTlWkqp/0KbkJCAuSyZs2afE716tWVaa0N91jEZebSStUIUGZmpre3N64l0m3atHnppZfg2Q4aNOirr77CmOnWrVvr1q1/+eUX+I181MrD9k8QcTlxnb799ttevXpx2iuqQGsR1T///PN8ulatWnfu3Hn11VfhaW/atGnlypWKMhXcu3evuLiY/yLu1atXZ8yYgSGBdoYqxcfHK8pa2+6x5tJKFQgQAoQlS5YgQDh06JCQ2aRJE/7z8AhNZ8+ePWnSJEw1zZo1Qz47Sx/BW/vEE08gjcs2YcKE9evX81f0/v37GRkZixYtUoi1vKmYwdDtEAK4ubnNnDkTtrVs2XLevHmw+ejRowoxVQBGNm3a9NNPPx0zZky/fv1Gjhw5YsSI9957D+Ph4MGDirJWLT1WTIV6rFm0UgUCdP78ecxy8AN37NghZJaUlPBzC7h58ybS3bt3Z2TgY/DW8rck69at6+LikpOT07Zt2127dnXp0gUR9TPPPINdSrBWaFh42ps3b4ZDgcE8efJkTjt42rVrt2HDBkQNzE3FtX748CG8M37zgw8+eO2117D58ssvI1pEDhKYiuEEjR49mrm18CD2798Pk4YOHarwHquznM+x6LEqECD0LYwQDGnx24/+/PPP2rVrc9pr6e/vD4V+44032Nn4N4K1/Caciz179rRo0WLBggWwMDk5edWqVcLTE2wRTO2nJSIign/OFdjb26NTnj59mq2FPFFRUQUFBTt37uQ1qHfv3ggEMFHjovMF0BMCAwNPnjzJ1MxHwKnMysrq2rUrhLuwsBCbwi4F9lid5XweK/dYFQgQpju0EbxWyLOQiWv54MED/loGBwczv5YCOtbici5cuPDAgQMY7YilT5w4gciZtY1/oWNq+/btEYIFBQXB07537x56IXxv1jY+AhPyrVu3Bg4cKGjQ/PnzER0sX768Q4cOr776KoZ6amrqypUr2dqJFjt+/PixY8fg3cCwjRs3igVIaT1WupzPY+UeqwIB8vHx8fb2njdv3tKlS4XMpk2bwnVEDq4ldjE0TwcdazEZYvYODw/HtcRmWy2sbfwLHVMRv+zevRvm9e/fHwE/RgjiCNY2PqK4uBhjICAgQKxBaE8oJpyjt956CwUgnT179mRr55EjR3C5hTgLigMBcnd3h78Gj1JpPVbfcv4777xjzR6rAgEC8fHx6G2YVYQnLxEydOvWDTOhEq6lDmJr0fNwXV1dXVkbJY/YVES4W7duhStx9uzZ6Ojo1q1bs7VNWM5/4YUXEBtKNSgkJATuz/nz552cnOrXr8/cVDQjGpDTvmRj2rRpEES04dq1axHnHj58WDk9lrdW33I+WhhR5NNPP20dY9QhQM8999wXX3yBkAGCjX85rWcBj7dPnz6sTZNBx1rFqg8n17CBgYGsjfoLYTkfKolNqQbxS7kIGFlb+pepiF5feeUV3tQVK1YMGjQIaQxseJoY5xMmTFBIjxUaVt9yPuIvuMPWMUYdAsRpB8aWLVuGDx+emZmJOQSehRKupT6k1rK2SC+KNVVYIxdecyXWoPXr18NyJSzlchJTn3zySV59OO2bK/r27Xvu3DmkFdJjBWuVsJyvGgEC/fv3P3bsGNrr+eefR4w6ePDgli1bKuftdjqoyFplmip780HQIDg+iBOVoD6cHlN54KbB8dmwYQMLu+QRW8t8OV+JAvTjjz/u3bu3RYsWmDF0PjyEoPrgwYOHDh3atm0bQtkmTZps3LiRX0hjxbVr106fPt2pU6fq1XUbU2nWqshUTs/NB077YQb8C/VhvpgiIDX1ypUrwcHByIRcRkRE+Pn5sbVQjI61bJfzFSdAiJaXLFnSrVu3RYsWYUJOTEwUHk4R6KaFiXk6YJTOmTPn6aef/uyzz5o2bSpbRiHWqshUAenNB4C0Qm4kidExtWHDhohuzp49m5SUpJz7ngI61jJczmcsQCUlJcnJyfjx/OaFCxcWLlyYk5NTp04dxPkjR47ETCIVIIUAl2HFihXZ2dkODg5lZWW4fq6urvzDZkpDRaaKka6Rc1olxfBma5gUHVMRwCrkzT6ySBsWfiWT5XzGAoSREB4enpubi1gUm4cPH3722WehPsePH4fjun///t9++23r1q1Dhw5la6csa9euhZEY0jt37kREcOnSJRcXl8zMTOSwNk0XFZmqg3SNXIHqw6PY5XxZFGItYwHy9PTk1xQ57eOtrVq1ysjIwBS3YMGC7du3v/DCC5i3CwoKlClAL7744owZMxBI379/HwEjfxd2z5494nhBIajIVCnKXCOXRUWmcsqwlv0aECJksQZBa0aNGoWJGupz7969hIQE4W0pCkFYI4dPgQuGKBLG47L9+eefFy9eRGjN2sC/UZGpnKrWyFVkKqdsa9kLEPzATz75pGPHjvB6sLlmzRpO+/hW79698/LyIMw9evRgbePfyK6R4+pev3595syZsBY+HWsb/0JFpnKqWiNXkamc4q1lLECHDx+G7hw/frxu3boHDhzgV6MxcvgPLf7rX/9i+wcBRq6RY4QjMyoqSlgoJVMrhIrWyFVkKqcGaxkL0P79+xGCCX84jlmafxUbYrEXX3yRrW2c0Wvk8OBYW6omU6WoaI1cRaZyarCWsQB16dLlgw8++O9//8u/FdTf3x8CtHr1aj8/P+Z/3Mypao1cRaZKUcUaOb+gVlhYCP9R4aYKKL9h2QjQDz/8sGPHDkSkw4cPR9SARvnmm2+aN2/+xx9/4ALjSvNv4VcCKlojV5GpPCpaIxcW1BDO/Prrr8uWLeMf9lGgqZyqGpaBAOFaQpLh6WCQLF++PDk5eebMme3atRs8eDCcwzfffFM56sOpao1cRaZyyl4jL3dBrU2bNmfPnlWCqVKU3LBSrC1A586de++9906cOFG3bt158+YNGjRowIAB3333HQT7wIEDmKJN+L695VD4GrkYhZuqrjVyYxbU+vbtCxeDuanqalgp1hagQ4cOwSfkV53r16+PAMHb23vjxo243oqSHh6Fr5GLUbip6lojN2ZBDeEt/mVtqcoaVoq1BcjLy2v8+PEFBQWYPTjt21KGDh0Kb9bKZhiJwtfIxSjcVNWtkatlQU11DauDlQRoz549uGaItgYPHjxs2LB+/frt3r0bQ6W4uPg///mPzvsWmKOiNXIVmaqWIc2jogU1dTWsDtYQoJSUlJkzZyLCwmXDgMG1RMLX1zcoKOjUqVO4qF27drWCGUaiojVyFZnKqWpIK3xBTQcVNawUiwvQpUuX4BB+++23jRo1gjYjNCgrK/vss88mTJhw4sSJWbNmeXt7W9oG41HRGrmKTOXUNqQVvqAmRl0NK8WyAgT1gR/o4eHRoEEDTvuFbARc/JIEBg/bz2DLoqI1chWZyqlqSHOKX1ATo66GlWJZAWrcuHFSUhJCrUWLFr399tvIgR7xGuSvxaJnNwEVrZGryFROVUOa05qn8AU1AXU1rBSzCZDOB7wF0AopKSmIDjBL8x94hQbl5+cr6rVSKlojV5GpnKrWyMWmohuvW7cuNDRUsQtqKmpYw5hNgHQ+4C0GGvTVV19hzCDNa5Ci1EdFa+QqMpVT1Rq5jqlff/21m5vb5s2bd+3apcAFNRU1bLmYTYCkH/AWI2hQey3mOmnlUdEauYpM5VS1Ri41FQ4FTEU37q+FtYGPoaKGNQazCZDsB7zFQIPy8vL0vRKJCSpaI1eRqTwqWiM3YCpr02RQUcMag9kESN8HvMUoSn04Va2Rq8hUHhWtkavIVE5t1paL2QTI8Ae869SpY64Tmcz27duPHDnSo0cP8efPlblGPnr06E6dOvH2CCjTVB1UtEauIlM5tVlrPGYTIIV/wPutt976/vvv27dvP3z48OnTp8+dO1fYpcA1cshKYmKiYI+AAk0Vo6I1chWZyqnN2gphkeeAlPYB7/T09LS0tOzsbPhiGLcdO3YcN25co0aNhAJKWyOHm9a7d+9Zs2Zx+jVIIaYKqGiNXEWmcmqztqJY6kFERX3AOzMzExcJ6sNpl29feuklxGKDBg0Sl1HUGjn/SCv6HP9Uq1SDlGMqj4rWyFVkKqc2a03AUgKkqA94d+7c+dChQ8JmkyZNioqKpMWUM6S7deuG+Q0BLK9B9+/fz8jIWLRo0TPPPMMXUI6pPCpaI1eRqZzarDUBSwmQoj7g3alTpx07dgibJSUlvDcElLNGLqZu3bouLi45OTlt27bdtWtXly5d+vTpI6gPczAkDhw4AFkXf/5cFWvkPCoylVObtRXFUgKktNbhQ0KeP//8k/80EtQHc4gS1silIArbs2dPixYtFixYAPOSk5NXrVqlE4sxYeLEiZcvX4b6TJ48+dq1a1OnThV2KWqNvKysDC5kWlrakCFDeJPEKMpUHtm7tDwKtNZcsP8yqvWB+jx48IBXH8SJClQfTitACxcuhKPh6+v7/vvvnzhxYt++fayN4vbu3XvmzBn8y2kfSIFhYgHilLRGHhkZefr06b59+3p4eMgWUI6pnMG7tDyKstaMVEUBatq0KSbGpUuXKmeVSkrXrl0LCgrCw8MxyDntW+8Aa6O448eP8391DWrVqnXnzp1XX321efPms2bNqlevHp+vhDXyoqKihIQEeGo1a9Y0UEwJpnJG3KXlUYi15qUqClC/fv26des2f/58xaoPsLe3z83NdXV1ZW3IYwQEBMA18/T0dHNzmzlzJqLXli1bohlffvnlo0ePCs++Mx8k9+7dKy4utrOzQ/rq1aszZsxAY/JOpc56H3NTOePu0vIowVrzUhUFCM7Fnj17+vTpw9qQclCa+nDa5fzt27dv3rwZo3rEiBGTJ0/mtDcZ27Vrt2HDBszbbM0T3gkDfcRY/fTTT8eMGYP5ZuTIkbD2vffe69Wr18GDB4VbEMxJTEzcv38/DP7zzz+FTH13aW2SqihAQPnqo1j6aYmIiHB0dORz4KwNGTLk9OnTbA3jHn8nzAcffPDaa68hAe+MX6hCwtfXF6HZ6NGjWVv6iIkTJ2ZlZWE6XLdunfi98cq/S2tGqqgAEZWkffv2CMGCgoKaNWuGeAce5aJFi1gb9dg7YXr37j1lypQJEyYgTuT31q5dOzAw8OTJk2yN5EGLHT9+/NixY9CXDh06bNy48a233uJ3qeIurbkgASJMAU7E7t2727Zt279//+zsbIwQ+BesjdJ9J8z8+fPv37+/fPlyjPBXX321sLAwNTV15cqVrM18xJEjR+D7CJ4OFAcOkbu7O0RTFXdpzQUJEGEKGo1m69atGM9nz56Njo5WyKcXpO+Eef/99+GsITSDfwF5gtemkDclQxPRgJz2jy2mTZsGq9CGa9eu3b59e/fu3ZV/l9ZckAARpiN9ZI4tsu+ECQkJ6dGjB8a5h4dH/fr1Wdv4F4heX3nlFU5r7YoVK/h7XiNHjvTx8bl27VpCQoLC79KaCxIgwnYw/E6YNm3asDVPB97aJ598UrjjXq9evb59+9rb26viLq1ZIAEibBOlvRPGGG7evAnp2bBhg5+fH2tbrAQJEGGzKOqdMAa4cuVKcHCwt7c3FDMiIqLqqA9HAkTYMIp6J4wBGjZsOGXKlLNnzyYlJSnhD26sCQkQYbMo6p0wBqhWrZr4xSZVChIgwmZRhfpUcUiACIJgBgkQQRDMIAEiCIIZJEAEQTCDBIggCGaQABEEwQwSIIIgmEECRBAEM0iACIJgBgkQQRDMIAEiCIIZJEAEQTCDBIggCGaQABEEwQwSIIIgmEECRBAEM0iACIJgBgmQinn48GGNGjUiIyOXLVvG5+zcuXPDhg3414SjZWdnDx48+MyZM2a0kNN+AT05OXnt2rX8Z7BMw0K2EcwhAVI3Tz755K5duyZMmPD888+ztkWerVu3Hj9+3NPTk7UhhBIhAVI3JSUl77777rRp01JTU8X5x44dCw0NLSgoEKdzcnKQ6N+///bt2+3s7D777LM5c+bk5+f369eP/2I6MmfMmLFnz57i4uKPP/64R48eyMSR58+fj11PPfXUJ5980qRJkxMnTowZM6ZNmzbnzp3LyMgQTrpt27bY2Nhq1arZ29ujeosWLUaNGvXbb78NHz584cKFvXv3RhneBrgzKHzr1q3Vq1fzX+CT1kXme++9ByMbNWok/kqf1J4HDx6EhYXhh8DsVq1arV+/HgexRusTlYYESN0gCsPwjo+P/+abb8r9liaGN2Ro6dKlCxYsgARACA4fPlxaWurq6jp79mwUOH/+/Isvvrho0SK4LePGjTt9+vTVq1dHjx793XffNWvW7KOPPho/fjzGP+K+//u//5s8efLnn38uHPzChQvYC31p3LgxwkDUguODAl999RX0DpliG6AviKpQDJbAbNm6p06diouLgw0QGugLX13WHpyisLAQsogCixcvRsX27dtbpLkJc0MCZAtgoIaHhwcEBJRbEq4B79e0bNnS2dm5Tp06SLu5uWFgazSaWrVqQZiQM2jQoH/84x83btzYu3dvp06dMNqRCXcGogMvAyUhWxAC8ZG//fbbzp0780KDum+88QZ8H9lvsUO/QkJCkGjbtu2lS5f01U1PT+/atSvUB5lDhw7FJhKy9ri7u0POkpOTe/XqFRUVVbm2JKwKCZAt0LFjR29v71WrVmEoGi7JKw6n9UTEaYRy1atXd3JyQmiDnJo1az7xxBM3b9789ddf4SX5+PjwJb28vIqKijjth4+FD7HzoCQy+TSE7Mknn7x+/bqsANWrV49P4Fw4r766OJFQnZchvqTUHkjShx9+uGzZspEjR0JAV6xYgSMY0WwEe0iAbITY2NguXbosXLiQ34Q6wEnh07dv3zbyIPA7+MSDBw/u3r0LPXJxcYFvkpKSIi4GdeC/eiymYcOGkAY+jbp//vlno0aNjDyvbF2IjmAPdIdPyNoDBmuBGMGB+vjjj6dPn27kqQm2kADZCE2aNAkNDV2yZEnTpk2xCVfol19+QQwFEUlISDDyIHfu3Nm9e/crr7zy1VdftWrVCl4JgpopU6acOXPG09MzLS1t8eLF0sHP06dPnxkzZly8eBGWbN68uVu3bnXr1jXyvLJ1ITRz5swpLCyEGcJPkLVnw4YNDx8+RBCKkvj5ZWVlRp6XYA4JkO3w9ttvr1u3jhcgNze3CRMm+Pr6Nm7cePjw4YJ/YQBEQxCd//znP/PmzYMPsnr1amTCE/nss8+GDh3KadduPvroI33VcaI1a9YMHDgQzpeDgwNEwXjLZesiqMRPaN++vbOzs/ATZO2BKr3xxhsrV66EX/bcc8+hlvGnJthCAqRiqlevjplf2LS3t4fXI2wu1sKnJ02axGlXTH766Sc+Z/78+UJJ/m49yMvLk54lUIs4B8fhF4914OMgncxbt27pqytOy9Z9Vwufnjp1qj574O7t3btXag+hfEiACIJgBgkQQRDMIAEiCIIZJEAEQTCDBIggCGaQABEEwQwSIIIgmEECRBAEM0iACIJgBgkQQRDMIAEiCIIZJEAEQTCDBIggCGaQABEEwQwSIIIgmEECRBAEM0iAzM9PP/3UtGnT4uLi6tVNaV621S0EtYmYjh07RkREvP766wkJCZMnTx4zZswHH3zA2ig2KOJ62BhNmjS5cuWKgb7+yiuvxMfHW+hjoeWenQk23yam2Y8qCxcuHD9+vIWsUj7K6qbM0fR+X9+usr3vGHmQatWqubi4GCiQn59fMbMqQrlnNx1/7Udy9v9mQlWltUlMTExgYKDweZ/KY5r9t27dEj7ZWDUhATI/gsOPWfe55577/PPPFyxY8Ouvv/bq1Wvjxo3Dhg27ePFiv379MPW99tprx44dmzp1alFRUa1atd5+++0RI0YIx0ExVF+1atX7779/48aN2NjYu3fvYs68fft2XFzcP/7xj7Nnz7Zu3Ro52MQRhgwZsmzZMtSySLjhX//vRMU1SGlt8sMPP7z00kvCYWVrXb58WWqqRqORmjd06FCx/YcOHZoyZQqqODs74zjdu3fHKT799NN33323Zs2a/v7+/Hc7Bg8efO7cubfeegsHFL6nVNWoWgJkwMGpZF1Z/6hGjRr37t1DX8/Nzb1+/frzzz9/4MCBzZs3f/nll19//TXcdUyAmIfXr18fHByMvti+ffs2bdoIX7Phq1+7dq2goOCLL74YO3Ysuunp06fRlefNm4fBhon9/v37GNuYftHdfX19u3Xr1qFDh4r9MH+Zbweap4qcTimzTWRr+fn5SU1t27at1Dwd+7Fr+/btL7/8clJSEuTp/PnzOCbirCNHjrRr1y41NRUCipMmJia2aNFi8eLFQUFBFWt/G6JqCRATJkyYgGmzYcOG6G0///yzeNf+/fsxSaK/It2sWbMBAwZs27ZtzJgx4jL8F5BffPHFP/7444033uDT4q9fjBs3Dsdv1KgRBkZaWlqFBYgFrNoEY55fcLlz5863334LOatTp47wpRCdWhAgqak3b96Umjd37lzh1Pv27cMRoD5Ih2hBIj09/dlnn4X6cNqvelTxsEsMCZDFET4rzH8BWbzr6tWr6NPPPPOMkAPnX6c6/3liPnYQ0uLjYGzwCUdHR53BrFhYtYnw8R/8CyUKCAgQH1a2lo6p5ZqHAsJnpgX4zysKm05OThyhhQSIJW5ubnDaT548Kc4UJmQjuXHjBj+jFhUVYXI2o3lMYNgmxtSSNU/8dTa4P4gQdWpBxXBMYRMiZaRJNk/VEqBy72SZ5S6YYezs7DCXwpNHumfPnmPHjv3666/79euHnP79+y9atMjV1bVCB1y7du38+fMxx+7evTs+Pr7CBhm5oiys+6C8SevQBrB+myC8kh7TmJaUNe+ll14S7Pf3979+/XpycjLCtL179w4fPvzSpUtdu3Y9ffr0d999h2Bw69atULoK/RwbpmoJkBLAYBs2bFivXr3efffdSZMmpaSkTJ06dfLkyWVlZaGhoR07dqxoGAV//oUXXkDvRyyATn/hwgWL2C3ojrnVh2PRJjh4ubV+/fVXaRlEfFLzNBqN2P6dO3dOmzZt3LhxDRo0+OKLL2rXro2QDYqGuA8lg4KCunfvrhN4VllIgMwPeht/n9XFxYVP8GRkZPCJTZs2CZnovkePHi23upAJWrRoce/ePaH8xIkT+S8vS0uamUqojyraRKeWPlOl5unY36NHjx9++EGnwAQtOpnCR7GrLCRAj2GuOMuaWEpuZDG372MhTGsTq7YkoYUEiCAIZpAAqRgLRluqxbQ2oZZkBQkQQRDMIAEiCIIZJEAEQTCDBIggCGaQABEEwQwSIFvG7K8iHba+yZYxF81yKFbQ61kVhSKugYI42VTvLq/zVrTDPCjz9axsodezKgrqmraMeV/PCveHU78TRK9nVRRVTIAMODiVrPu4f5Senh4VFfXbb7+hu2NOi4yMlH3pJ/ZK3+/Jv3VU502gly5dstDrWXlZqRBGVtHRKcW2Cb2elSFVTICsArpjcHDw1q1b+/Tpg0HStm1bdGg45NKXfvbu3Vv6fs8GDRpI3wTaqlUra7ye1WKoqE3o9azWhATI/Ozfv79hw4YYaUjDqUaXSklJwTTISV76ib4ufb/nxIkTOcmbQDHYODW/nlWBbUKvZ1UCJEDmB3MyZmxhE30UPjmf1nnpp4H3e8q+tFS9r2dVYJvQ61mVQBUTIOPvZAkrPhW/+eXi4iJ+KSc8duHlezov/ZR9v2dl3tdpwqtIjVlRll30qdBStLraxMha9HrWylPFBMgq+Pv7Y5bbs2dP3759MUMi1ti+fTu/S+eln7Lv92za1PSV8sq+nlUOfUvOFbodpuQ2odezMoQESA9wfOAEmfTsD6Y49Lnp06dHRkYiHHjvvfe6devGLy7ovPTTzs5O+n5P6ZxpPFZ6PWvFUXKb0OtZGUICZBEwqX7//ffSfJ2XfnJy7/fU9yZQVq9nNddTP+pqE3o9q3UgAdKPBR59tvRbr9T4Vi1ltokaW1KNkAARBMEMEiArYemXfqrxpaLKbBM1tqR6IQEiCIIZJEAEQTCDBIggCGb8PypHLTpU2dGLAAAAAElFTkSuQmCC width=384 vspace=25 hspace=66 height=509>
<hr>
<a name=table1><h1>Sheet 2: <em>ior</em></h1></a>
<table cellspacing=0 border=0>
<colgroup width=85 span=7></colgroup>
<tbody><tr>
<td height=17 align=left>IOR</td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left>MPIIO</td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left>nodes:</td>
<td sdval=1 sdnum=1033; align=right>1</td>
<td sdval=2 sdnum=1033; align=right>2</td>
<td sdval=4 sdnum=1033; align=right>4</td>
<td sdval=8 sdnum=1033; align=right>8</td>
<td sdval=16 sdnum=1033; align=right>16</td>
<td sdval=32 sdnum=1033; align=right>32</td>
</tr>
<tr>
<td height=17 align=left>write</td>
<td sdval=10.98811 sdnum=1033; align=right>10.98811</td>
<td sdval=17.43052 sdnum=1033; align=right>17.43052</td>
<td sdval=9.92561 sdnum=1033; align=right>9.92561</td>
<td sdval=8.92118 sdnum=1033; align=right>8.92118</td>
<td sdval=10.71524 sdnum=1033; align=right>10.71524</td>
<td sdval=7.49009 sdnum=1033; align=right>7.49009</td>
</tr>
<tr>
<td height=17 align=left>read</td>
<td sdval=0.59005 sdnum=1033; align=right>0.59005</td>
<td sdval=9.7876 sdnum=1033; align=right>9.7876</td>
<td sdval=7.57084 sdnum=1033; align=right>7.57084</td>
<td sdval=7.44937 sdnum=1033; align=right>7.44937</td>
<td sdval=7.32448 sdnum=1033; align=right>7.32448</td>
<td sdval=4.7714 sdnum=1033; align=right>4.7714</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left>HDF5</td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left>nodes:</td>
<td sdval=1 sdnum=1033; align=right>1</td>
<td sdval=2 sdnum=1033; align=right>2</td>
<td sdval=4 sdnum=1033; align=right>4</td>
<td sdval=8 sdnum=1033; align=right>8</td>
<td sdval=16 sdnum=1033; align=right>16</td>
<td sdval=32 sdnum=1033; align=right>32</td>
</tr>
<tr>
<td height=17 align=left>write</td>
<td sdval=34.70726 sdnum=1033; align=right>34.70726</td>
<td sdval=15.16137 sdnum=1033; align=right>15.16137</td>
<td sdval=9.40157 sdnum=1033; align=right>9.40157</td>
<td sdval=8.99896 sdnum=1033; align=right>8.99896</td>
<td sdval=9.79538 sdnum=1033; align=right>9.79538</td>
<td sdval=7.5677 sdnum=1033; align=right>7.5677</td>
</tr>
<tr>
<td height=17 align=left>read</td>
<td sdval=0.5547 sdnum=1033; align=right>0.5547</td>
<td sdval=13.86718 sdnum=1033; align=right>13.86718</td>
<td sdval=7.41274 sdnum=1033; align=right>7.41274</td>
<td sdval=7.27534 sdnum=1033; align=right>7.27534</td>
<td sdval=7.21066 sdnum=1033; align=right>7.21066</td>
<td sdval=4.79 sdnum=1033; align=right>4.79</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
<td align=left><br></td>
</tr>
<tr>
<td height=17 align=left>nodes:</td>
<td sdval=1 sdnum=1033; align=right>1</td>
<td sdval=2 sdnum=1033; align=right>2</td>
<td sdval=4 sdnum=1033; align=right>4</td>
<td sdval=8 sdnum=1033; align=right>8</td>
<td sdval=16 sdnum=1033; align=right>16</td>
<td sdval=32 sdnum=1033; align=right>32</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td sdval=32.19617 sdnum=1033; align=right>32.19617</td>
<td sdval=16.34088 sdnum=1033; align=right>16.34088</td>
<td sdval=9.7842 sdnum=1033; align=right>9.7842</td>
<td sdval=9.857 sdnum=1033; align=right>9.857</td>
<td sdval=9.0181 sdnum=1033; align=right>9.0181</td>
<td sdval=11.2443 sdnum=1033; align=right>11.2443</td>
</tr>
<tr>
<td height=17 align=left><br></td>
<td sdval=0.52463 sdnum=1033; align=right>0.52463</td>
<td sdval=11.99863 sdnum=1033; align=right>11.99863</td>
<td sdval=7.27743 sdnum=1033; align=right>7.27743</td>
<td sdval=7.35245 sdnum=1033; align=right>7.35245</td>
<td sdval=7.10853 sdnum=1033; align=right>7.10853</td>
<td sdval=4.73078 sdnum=1033; align=right>4.73078</td>
</tr>
</table>
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