{"id":1077,"date":"2022-05-30T14:37:49","date_gmt":"2022-05-30T20:37:49","guid":{"rendered":"https:\/\/graph500.org\/?page_id=1077"},"modified":"2022-05-30T14:37:50","modified_gmt":"2022-05-30T20:37:50","slug":"june-2022-green","status":"publish","type":"page","link":"https:\/\/graph500.org\/?page_id=1077","title":{"rendered":"June 2022 GREEN"},"content":{"rendered":"\n

June 2022 Green : BIG DATA<\/h2>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Rank<\/th>MTEPS\/W<\/th>Site<\/th>Machine<\/th>Graph500 rank<\/th>Scale<\/th>GTEPS<\/th>Nodes<\/th>Cores<\/th>Power<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>6320.24<\/td>National Supercomputer Center in Tianjin<\/td>Tianhe Exa-node Prototype@Newbenchmarking@SuperCSR<\/td>27<\/td>30<\/td>1055.480000<\/td>1<\/td>64<\/td>167<\/td>\n<\/tr>\n
2<\/td>5191.94<\/td>National Engineering Research Center for Big Data Technology and System<\/td>DepGraph<\/td>-1<\/td>30<\/td>1220.107000<\/td>1<\/td>28<\/td>235<\/td>\n<\/tr>\n
3<\/td>5044.36<\/td>National Engineering Research Center for Big Data Technology and System<\/td>DepGraph<\/td>-1<\/td>30<\/td>1185.424000<\/td>1<\/td>28<\/td>235<\/td>\n<\/tr>\n
4<\/td>4385.24<\/td>National Supercomputer Center in Tianjin<\/td>Tianhe Exa-node Prototype<\/td>35<\/td>30<\/td>811.270000<\/td>1<\/td>64<\/td>185<\/td>\n<\/tr>\n
5<\/td>2611.94<\/td>National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology<\/td>DepGraph<\/td>-1<\/td>30<\/td>605.969000<\/td>1<\/td>28<\/td>232<\/td>\n<\/tr>\n
6<\/td>2057.08<\/td>University of Pennsylvania<\/td>ENIAD<\/td>47<\/td>30<\/td>436.100000<\/td>1<\/td>8<\/td>212<\/td>\n<\/tr>\n
7<\/td>701.36<\/td>IPADS@SJTU &amp;&amp; Huawei<\/td>Polymer2-Arm<\/td>-1<\/td>30<\/td>238.463000<\/td>1<\/td>96<\/td>340<\/td>\n<\/tr>\n
8<\/td>687.18<\/td>Shanghai Jiao Tong University<\/td>Polymer2<\/td>56<\/td>30<\/td>350.460000<\/td>1<\/td>56<\/td>510<\/td>\n<\/tr>\n
9<\/td>687.18<\/td>IPADS Shanghai Jiao Tong University<\/td>Polymer2<\/td>56<\/td>30<\/td>350.460000<\/td>1<\/td>56<\/td>510<\/td>\n<\/tr>\n
10<\/td>678.26<\/td>SMARCO && ICT<\/td>High Throughput Computer (+ NVidia V100)<\/td>76<\/td>30<\/td>163.461000<\/td>1<\/td>48<\/td>241<\/td>\n<\/tr>\n
11<\/td>638.22<\/td>SMARCO && ICT<\/td>High Throughput Computer(+Nvidia V100)<\/td>79<\/td>30<\/td>146.790000<\/td>1<\/td>1<\/td>230 watts<\/td>\n<\/tr>\n
12<\/td>326.48<\/td>SMARCO<\/td>High Throughput Computer<\/td>104<\/td>30<\/td>39.830000<\/td>1<\/td>40<\/td>122<\/td>\n<\/tr>\n
13<\/td>282.70<\/td>SMARCO<\/td>High Throughput Computer<\/td>-1<\/td>30<\/td>34.490000<\/td>1<\/td>40<\/td>122 watts<\/td>\n<\/tr>\n
14<\/td>177.45<\/td>IBM Moscow && MSU Alex Kolganov<\/td>IBM Power8+ Tesla P100<\/td>103<\/td>30<\/td>41.700000<\/td>1<\/td>66<\/td>235 Watts<\/td>\n<\/tr>\n
15<\/td>165.97<\/td>SMARCO<\/td>High Throughput Computer<\/td>-1<\/td>30<\/td>22.240000<\/td>1<\/td>40<\/td>134<\/td>\n<\/tr>\n
16<\/td>163.96<\/td>SMARCO<\/td>High Throughput Computer<\/td>-1<\/td>30<\/td>21.970000<\/td>1<\/td>40<\/td>134<\/td>\n<\/tr>\n
17<\/td>112.41<\/td>Alex Kolganov<\/td>PowerfullServer<\/td>120<\/td>30<\/td>16.300000<\/td>1<\/td>18<\/td>145 Watts Watts<\/td>\n<\/tr>\n
18<\/td>66.00<\/td>IBM Moscow & MSU Alex Kolganov<\/td>IBM POWER8+<\/td>129<\/td>30<\/td>13.200000<\/td>1<\/td>10<\/td>200 watts Watts<\/td>\n<\/tr>\n
19<\/td>62.93<\/td>Kyushu University<\/td>GraphCREST-SandybridgeEP-2.4GHz<\/td>-1<\/td>30<\/td>31.325000<\/td>1<\/td>32<\/td>497.8 Watts<\/td>\n<\/tr>\n
20<\/td>61.48<\/td>Kyushu University<\/td>GraphCREST-SandybridgeEP-2.4GHz<\/td>-1<\/td>30<\/td>28.614000<\/td>1<\/td>32<\/td>465.4 Watts<\/td>\n<\/tr>\n
21<\/td>51.95<\/td>Kyushu University<\/td>GraphCREST-Huawei<\/td>96<\/td>32<\/td>59.900000<\/td>1<\/td>60<\/td>1153.1 Watts<\/td>\n<\/tr>\n
22<\/td>48.28<\/td>Kyushu University<\/td>GraphCREST-Sandybridge-EP-2.7GHz<\/td>-1<\/td>30<\/td>31.950000<\/td>1<\/td>32<\/td>661.7 Watts<\/td>\n<\/tr>\n
23<\/td>44.42<\/td>Kyushu University<\/td>GraphCREST-Huawei<\/td>-1<\/td>32<\/td>55.741000<\/td>1<\/td>60<\/td>1255 Watts<\/td>\n<\/tr>\n
24<\/td>44.35<\/td>Tokyo Institute of Technology<\/td>EBD-RH2288V3<\/td>124<\/td>32<\/td>14.856600<\/td>1<\/td>36<\/td>334.985 Watts<\/td>\n<\/tr>\n
25<\/td>36.86<\/td>George Washington University<\/td>Colonial0<\/td>130<\/td>30<\/td>12.900000<\/td>1<\/td>28<\/td>350 Watts<\/td>\n<\/tr>\n
26<\/td>35.21<\/td>Tokyo Institute of Technology<\/td>GraphCREST-Custom #1<\/td>127<\/td>31<\/td>13.796300<\/td>1<\/td>32<\/td>391.825 Watts<\/td>\n<\/tr>\n
27<\/td>34.57<\/td>National Institute of Advanced Industrial Science and Technology (AIST)<\/td>NEDO-AIRC-NAIROBI-UV<\/td>77<\/td>33<\/td>161.215000<\/td>1<\/td>256<\/td>4663.56 Watts<\/td>\n<\/tr>\n
28<\/td>28.88<\/td>Tokyo Institute of Technology<\/td>MEM-CREST Node #2<\/td>152<\/td>30<\/td>7.984170<\/td>1<\/td>16<\/td>276.507 Watts<\/td>\n<\/tr>\n
29<\/td>23.68<\/td>SGI<\/td>SGI UV 300<\/td>-1<\/td>33<\/td>99.794000<\/td>1<\/td>256<\/td>4214 Watts<\/td>\n<\/tr>\n
30<\/td>22.36<\/td>The University of British Columbia<\/td>Alkindi26-hybrid<\/td>145<\/td>30<\/td>10.307900<\/td>1<\/td>20<\/td>461 Watts<\/td>\n<\/tr>\n
31<\/td>20.81<\/td>Kyushu University<\/td>GraphCREST-Huawei<\/td>-1<\/td>33<\/td>29.292400<\/td>1<\/td>60<\/td>1407.31 Watts<\/td>\n<\/tr>\n
32<\/td>20.49<\/td>HP Ft. Collins<\/td>hawk040os1<\/td>83<\/td>33<\/td>128.336000<\/td>1<\/td>240<\/td>6264 Watts<\/td>\n<\/tr>\n
33<\/td>18.90<\/td>The University of British Columbia<\/td>Alkindi28-CPU<\/td>139<\/td>32<\/td>11.167800<\/td>1<\/td>60<\/td>591.024 Watts<\/td>\n<\/tr>\n
34<\/td>17.24<\/td>Kyushu University<\/td>GraphCREST-Bulldozer<\/td>128<\/td>31<\/td>13.633000<\/td>1<\/td>64<\/td>790.8 Watts<\/td>\n<\/tr>\n
35<\/td>14.92<\/td>HPE Ft. Collins<\/td>Hawk028os1<\/td>80<\/td>33<\/td>141.900000<\/td>1<\/td>288<\/td>9508 Watts<\/td>\n<\/tr>\n
36<\/td>14.06<\/td>Tokyo Institute of Technology<\/td>TSUBAME-KFC<\/td>87<\/td>32<\/td>104.310000<\/td>32<\/td>384<\/td>7419.85 Watts<\/td>\n<\/tr>\n
37<\/td>13.90<\/td>The University of British Columbia<\/td>Alkindi28<\/td>-1<\/td>31<\/td>8.370000<\/td>1<\/td>60<\/td>602.06 Watts<\/td>\n<\/tr>\n
38<\/td>12.48<\/td>The Institute of Statistical Mathematics<\/td>ismuv2k2<\/td>-1<\/td>32<\/td>131.427000<\/td>1<\/td>640<\/td>10530 Watts<\/td>\n<\/tr>\n
39<\/td>10.86<\/td>The University of British Columbia<\/td>Alkindi26-CPU<\/td>171<\/td>30<\/td>4.247120<\/td>1<\/td>20<\/td>391 Watts<\/td>\n<\/tr>\n
40<\/td>8.55<\/td>RIKEN Center for Computational Science (R-CCS)<\/td>Supercomputer Fugaku<\/td>-1<\/td>40<\/td>70980.000000<\/td>92160<\/td>4423680<\/td>8299736<\/td>\n<\/tr>\n
41<\/td>8.39<\/td>Plexus Engineering<\/td>HYPATIA<\/td>91<\/td>33<\/td>88.112000<\/td>32<\/td>256<\/td>10498.2 Watts<\/td>\n<\/tr>\n
42<\/td>6.88<\/td>RIKEN Center for Computational Science (R-CCS)<\/td>Supercomputer Fugaku<\/td>1<\/td>41<\/td>102956.000000<\/td>158976<\/td>7630848<\/td>14961115<\/td>\n<\/tr>\n
43<\/td>5.41<\/td>Forschungszentrum Juelich (FZJ)<\/td>JUQUEEN<\/td>-1<\/td>38<\/td>5848.000000<\/td>16384<\/td>262144<\/td>1081340 Watts<\/td>\n<\/tr>\n
44<\/td>5.29<\/td>Tokyo Institute of Technology<\/td>GraphCREST-7048GR-TR<\/td>184<\/td>31<\/td>1.777880<\/td>1<\/td>36<\/td>336.018 Watts<\/td>\n<\/tr>\n
45<\/td>4.42<\/td>Argonne National Laboratory<\/td>DOE\/SC\/Argonne National Laboratory Mira<\/td>-1<\/td>40<\/td>14328.000000<\/td>49152<\/td>786432<\/td>3244030 Watts<\/td>\n<\/tr>\n
46<\/td>4.35<\/td>Tokyo Institute of Technology<\/td>EBD-RH5885v2<\/td>176<\/td>30<\/td>3.674750<\/td>1<\/td>48<\/td>844.337 Watts<\/td>\n<\/tr>\n
47<\/td>4.30<\/td>Lawrence Livermore National Laboratory<\/td>DOE\/NNSA\/LLNL Sequoia<\/td>-1<\/td>41<\/td>27467.000000<\/td>98304<\/td>1572864<\/td>6389760<\/td>\n<\/tr>\n
48<\/td>3.72<\/td>Lawrence Livermore National Laboratory<\/td>DOE\/NNSA\/LLNL Sequoia<\/td>-1<\/td>41<\/td>23751.000000<\/td>98304<\/td>1572864<\/td>6389760 Watts<\/td>\n<\/tr>\n
49<\/td>3.42<\/td>Tokyo Institute of Technology<\/td>EBD-RH5885v2<\/td>-1<\/td>33<\/td>3.107220<\/td>1<\/td>48<\/td>908.22 Watts<\/td>\n<\/tr>\n
50<\/td>1.89<\/td>Research Center for Advanced Computing Infrastructure Japan Advanced Institute of Science and Technology<\/td>altix<\/td>-1<\/td>30<\/td>37.659300<\/td>32<\/td>512<\/td>19873 Watts<\/td>\n<\/tr>\n
51<\/td>0.73<\/td>Mayo Clinic<\/td>grace<\/td>144<\/td>31<\/td>10.319000<\/td>64<\/td>64<\/td>14100 Watts<\/td>\n<\/tr>\n
52<\/td>0.29<\/td>Georgia Institute of Technology<\/td>Georgia Tech CRNCH Pathfinder<\/td>219<\/td>30<\/td>0.845000<\/td>32<\/td>768<\/td>2868<\/td>\n<\/tr>\n
53<\/td>0.05<\/td>Institute of Mathematics and Mechanics UrB RAS<\/td>URAN<\/td>-1<\/td>30<\/td>2.796350<\/td>16<\/td>1984<\/td>57600 Watts<\/td>\n<\/tr>\n
54<\/td>0.05<\/td>Swiss National Supercomputing Center<\/td>Matterhorn<\/td>215<\/td>31<\/td>0.897000<\/td>64<\/td>64<\/td>19557 Watts<\/td>\n<\/tr>\n
55<\/td>0.01<\/td>Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne<\/td>Chaos (LABOS T-Rex)<\/td>254<\/td>33<\/td>0.026400<\/td>8<\/td>128<\/td>1824<\/td>\n<\/tr>\n
56<\/td>0.01<\/td>Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne<\/td>Chaos (LABOS T-Rex)<\/td>-1<\/td>40<\/td>0.025700<\/td>20<\/td>320<\/td>4560 Watts<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n\n\n\n

June 2022 Green : SMALL DATA<\/h2>\n\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Rank<\/th>MTEPS\/W<\/th>Site<\/th>Machine<\/th>Graph500 rank<\/th>Scale<\/th>GTEPS<\/th>Nodes<\/th>Cores<\/th>Power<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>8635.11<\/td>National Supercomputer Center in Tianjin<\/td>Tianhe Exa-node Prototype@Newbenchmarking@GreenBFS<\/td>24<\/td>27<\/td>1165.740000<\/td>1<\/td>64<\/td>135<\/td>\n<\/tr>\n
2<\/td>7957.17<\/td>National Engineering Research Center for Big Data Technology and System<\/td>DepGraph<\/td>21<\/td>27<\/td>1304.976000<\/td>1<\/td>28<\/td>164<\/td>\n<\/tr>\n
3<\/td>7592.23<\/td>National Engineering Research Center for Big Data Technology and System<\/td>DepGraph<\/td>-1<\/td>27<\/td>1245.126000<\/td>1<\/td>28<\/td>164<\/td>\n<\/tr>\n
4<\/td>6234.32<\/td>National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology<\/td>DepGraph<\/td>29<\/td>27<\/td>997.491000<\/td>1<\/td>28<\/td>160<\/td>\n<\/tr>\n
5<\/td>6099.61<\/td>National Supercomputer Center in Tianjin<\/td>Tianhe Exa-node Prototype@GraphV<\/td>33<\/td>26<\/td>884.443000<\/td>1<\/td>64<\/td>145<\/td>\n<\/tr>\n
6<\/td>6028.85<\/td>UPenn<\/td>ENIAD<\/td>36<\/td>26<\/td>783.750300<\/td>1<\/td>16<\/td>130<\/td>\n<\/tr>\n
7<\/td>5677.48<\/td>National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology<\/td>DepGraph<\/td>-1<\/td>27<\/td>948.139000<\/td>1<\/td>28<\/td>167<\/td>\n<\/tr>\n
8<\/td>4724.30<\/td>National Supercomputer Center in Tianjin<\/td>Tianhe Exa-node Prototype<\/td>-1<\/td>25<\/td>779.510000<\/td>1<\/td>64<\/td>165<\/td>\n<\/tr>\n
9<\/td>2099.09<\/td>SMARCO && ICT<\/td>High Throughput Computer (+Nvidia V100)<\/td>58<\/td>26<\/td>319.061000<\/td>1<\/td>24<\/td>152<\/td>\n<\/tr>\n
10<\/td>1926.52<\/td>SMARCO && ICT<\/td>High Throughput Computer (+Nvidia V100)<\/td>-1<\/td>26<\/td>271.640000<\/td>1<\/td>1<\/td>141<\/td>\n<\/tr>\n
11<\/td>1830.31<\/td>SMARCO<\/td>High Throughput Computer(+GPU)<\/td>66<\/td>26<\/td>237.940000<\/td>1<\/td>58<\/td>130<\/td>\n<\/tr>\n
12<\/td>1400.19<\/td>University of Wisconsin-Madison<\/td>Graph-WICIL-Node0<\/td>93<\/td>23<\/td>79.531000<\/td>1<\/td>18<\/td>56.8<\/td>\n<\/tr>\n
13<\/td>1165.71<\/td>IBM Moscow && MSU Alex Kolganov<\/td>IBM POWER8+ Tesla P100<\/td>69<\/td>26<\/td>204.000000<\/td>1<\/td>66<\/td>175 watts Watts<\/td>\n<\/tr>\n
14<\/td>815.68<\/td>forsite-company.ru && NVidia LTD<\/td>TitanX_forsite<\/td>81<\/td>26<\/td>132.140000<\/td>1<\/td>28<\/td>162 Watts<\/td>\n<\/tr>\n
15<\/td>716.23<\/td>IPADS@SJTU &amp;&amp; Huawei<\/td>Polymer2-Arm<\/td>65<\/td>29<\/td>243.518000<\/td>1<\/td>96<\/td>340<\/td>\n<\/tr>\n
16<\/td>698.39<\/td>IPADS@SJTU &amp;&amp; Huawei<\/td>Polymer2<\/td>55<\/td>29<\/td>356.179000<\/td>1<\/td>56<\/td>510<\/td>\n<\/tr>\n
17<\/td>597.86<\/td>SMARCO<\/td>Xeon(R) Gold 5118+Tesla P100<\/td>82<\/td>26<\/td>131.530000<\/td>1<\/td>24<\/td>220<\/td>\n<\/tr>\n
18<\/td>540.94<\/td>Keldysh Institute of Applied Mathematics (Russian Academy of Sciences)<\/td>Titan_Keldysh<\/td>86<\/td>25<\/td>114.680000<\/td>1<\/td>20<\/td>212 Watts<\/td>\n<\/tr>\n
19<\/td>445.92<\/td>George Washington University<\/td>Colonial<\/td>84<\/td>20<\/td>122.182000<\/td>1<\/td>12<\/td>274 Watts<\/td>\n<\/tr>\n
20<\/td>243.42<\/td>CODE@TACC (Texas Advanced Computing Center Summer High School STEM Program)<\/td>Monty Pi-thon<\/td>105<\/td>26<\/td>35.825400<\/td>32<\/td>128<\/td>147.175 Watts<\/td>\n<\/tr>\n
21<\/td>235.15<\/td>Kyushu University<\/td>GraphCREST-Xperia-Z1-SO-01F<\/td>210<\/td>20<\/td>1.033000<\/td>1<\/td>4<\/td>4.393 Watts<\/td>\n<\/tr>\n
22<\/td>230.40<\/td>Kyushu University<\/td>GraphCREST-Xperia-A-SO-04E<\/td>222<\/td>20<\/td>0.739000<\/td>1<\/td>4<\/td>3.2074 Watts<\/td>\n<\/tr>\n
23<\/td>204.38<\/td>Tokyo Institute of Technology<\/td>EBD-GoldenBox-Prototype<\/td>190<\/td>21<\/td>1.635030<\/td>1<\/td>5<\/td>8 Watts<\/td>\n<\/tr>\n
24<\/td>180.76<\/td>Kyushu University<\/td>GraphCREST-Xperia-A-SO-04E<\/td>-1<\/td>21<\/td>0.588000<\/td>1<\/td>4<\/td>3.253 Watts<\/td>\n<\/tr>\n
25<\/td>171.77<\/td>Kyushu University<\/td>GraphCREST-Xperia-Z1-SO-01F<\/td>-1<\/td>21<\/td>0.909000<\/td>1<\/td>4<\/td>5.292 Watts<\/td>\n<\/tr>\n
26<\/td>170.64<\/td>University of Tsukuba<\/td>kitty6<\/td>107<\/td>25<\/td>35.180000<\/td>1<\/td>8<\/td>206.164 Watts<\/td>\n<\/tr>\n
27<\/td>153.17<\/td>Chuo University<\/td>GraphCREST-Xperia-A-SO-04E<\/td>231<\/td>20<\/td>0.478000<\/td>1<\/td>4<\/td>3.12071 Watts<\/td>\n<\/tr>\n
28<\/td>145.58<\/td>RSC Moscow && MSU Alex Kolganov<\/td>RSC KNL<\/td>109<\/td>29<\/td>31.300000<\/td>1<\/td>68<\/td>215 Watts<\/td>\n<\/tr>\n
29<\/td>134.07<\/td>The University of British columbia<\/td>Alkindi-Jetson<\/td>218<\/td>22<\/td>0.850828<\/td>0<\/td>0<\/td>6.346 Watts<\/td>\n<\/tr>\n
30<\/td>129.63<\/td>Tokyo Institute of Technology<\/td>GraphCREST-NEXUS7-2013<\/td>228<\/td>20<\/td>0.534713<\/td>1<\/td>4<\/td>4.1248 Watts<\/td>\n<\/tr>\n
31<\/td>87.12<\/td>Kyushu University<\/td>GraphCREST-SandybridgeEP-2.4GHz<\/td>-1<\/td>27<\/td>41.802000<\/td>1<\/td>32<\/td>479.8 Watts<\/td>\n<\/tr>\n
32<\/td>81.54<\/td>Keldysh Institute of Applied Mathematics (Russian Academy of Sciences)<\/td>Titan_Keldysh<\/td>-1<\/td>27<\/td>10.600000<\/td>1<\/td>6<\/td>130 Watts<\/td>\n<\/tr>\n
33<\/td>81.49<\/td>Kyushu University<\/td>GraphCREST-SandybridgeEP-2.4GHz<\/td>100<\/td>27<\/td>42.450000<\/td>1<\/td>32<\/td>520.9 Watts<\/td>\n<\/tr>\n
34<\/td>73.57<\/td>University of Tsukuba<\/td>kitty6<\/td>-1<\/td>25<\/td>17.207000<\/td>1<\/td>8<\/td>233.894 Watts<\/td>\n<\/tr>\n
35<\/td>68.74<\/td>Kyushu University<\/td>GraphCREST-Sandybridge-EP-2.7GHz<\/td>99<\/td>27<\/td>45.710000<\/td>1<\/td>32<\/td>665 Watts<\/td>\n<\/tr>\n
36<\/td>64.11<\/td>Chuo University<\/td>GraphCREST-Tegra3<\/td>241<\/td>20<\/td>0.154000<\/td>1<\/td>4<\/td>2.402 Watts<\/td>\n<\/tr>\n
37<\/td>53.82<\/td>Chuo University<\/td>GraphCREST-Intel-NUC<\/td>208<\/td>23<\/td>1.081750<\/td>1<\/td>2<\/td>20.1 Watts<\/td>\n<\/tr>\n
38<\/td>53.47<\/td>Chuo University<\/td>GraphCREST-Mac-mini<\/td>182<\/td>24<\/td>1.941000<\/td>1<\/td>4<\/td>36.3 Watts<\/td>\n<\/tr>\n
39<\/td>52.02<\/td>Chuo University<\/td>GraphCREST-MBA13<\/td>203<\/td>23<\/td>1.227610<\/td>1<\/td>2<\/td>23.6 Watts<\/td>\n<\/tr>\n
40<\/td>51.61<\/td>Chuo University<\/td>GraphCREST-Retina15<\/td>181<\/td>24<\/td>1.987000<\/td>1<\/td>4<\/td>38.5 Watts<\/td>\n<\/tr>\n
41<\/td>45.43<\/td>Chuo University<\/td>GraphCREST-4Way-SandybridgeEP-2.4GHz<\/td>110<\/td>27<\/td>29.034000<\/td>1<\/td>64<\/td>639.1 Watts<\/td>\n<\/tr>\n
42<\/td>41.01<\/td>Chuo University<\/td>GraphCREST-Sandybridge-EP-2.7GHz<\/td>108<\/td>27<\/td>31.648000<\/td>1<\/td>64<\/td>771.71 Watts<\/td>\n<\/tr>\n
43<\/td>39.29<\/td>Changsha China<\/td>TH-IVB-FEP\/C<\/td>147<\/td>26<\/td>9.744020<\/td>1<\/td>24<\/td>248 Watts<\/td>\n<\/tr>\n
44<\/td>36.29<\/td>personal<\/td>Anton's Macbook<\/td>195<\/td>20<\/td>1.415300<\/td>1<\/td>2<\/td>39<\/td>\n<\/tr>\n
45<\/td>33.59<\/td>The University of British Columbia<\/td>Alkindi27-hybrid<\/td>117<\/td>29<\/td>19.468500<\/td>1<\/td>28<\/td>579.6 Watts<\/td>\n<\/tr>\n
46<\/td>32.25<\/td>Chuo University<\/td>GraphCREST-NEXUS10<\/td>243<\/td>20<\/td>0.119000<\/td>1<\/td>2<\/td>3.69 Watts<\/td>\n<\/tr>\n
47<\/td>30.95<\/td>The University of British Columbia<\/td>Alkindi27-hybrid<\/td>-1<\/td>29<\/td>17.795900<\/td>0<\/td>0<\/td>575 Watts<\/td>\n<\/tr>\n
48<\/td>30.41<\/td>Tokyo Institute of Technology<\/td>ULP2012 ultra-green oil-cooled server : GraphCREST<\/td>165<\/td>24<\/td>5.123720<\/td>1<\/td>12<\/td>168.5 Watts<\/td>\n<\/tr>\n
49<\/td>29.47<\/td>Chuo University<\/td>GraphCREST-Sandybridge-EP-2.7GHz<\/td>-1<\/td>29<\/td>22.983000<\/td>1<\/td>64<\/td>779.88 Watts<\/td>\n<\/tr>\n
50<\/td>20.58<\/td>Chuo University<\/td>GraphCREST-SBep2.0<\/td>160<\/td>25<\/td>6.142000<\/td>1<\/td>16<\/td>298.44 Watts<\/td>\n<\/tr>\n
51<\/td>18.68<\/td>Chuo University<\/td>GraphCREST-SBep2.9<\/td>155<\/td>25<\/td>6.777000<\/td>1<\/td>16<\/td>362.79 Watts<\/td>\n<\/tr>\n
52<\/td>17.39<\/td>Chuo University<\/td>GraphCREST-4waySBep2.4<\/td>140<\/td>26<\/td>11.115000<\/td>1<\/td>32<\/td>639 Watts<\/td>\n<\/tr>\n
53<\/td>10.95<\/td>Chuo University<\/td>GraphCREST-Wex40<\/td>141<\/td>26<\/td>11.061000<\/td>1<\/td>40<\/td>1010.13 Watts<\/td>\n<\/tr>\n
54<\/td>10.25<\/td>Tokyo Institute of Technology<\/td>MEM-CREST Node #1<\/td>177<\/td>29<\/td>3.111710<\/td>1<\/td>16<\/td>303.6 Watts<\/td>\n<\/tr>\n
55<\/td>2.43<\/td>The University of British Columbia<\/td>Alkindi<\/td>204<\/td>28<\/td>1.205760<\/td>1<\/td>0<\/td>496 Watts<\/td>\n<\/tr>\n
56<\/td>1.89<\/td>University of Luxembourg<\/td>Viridis HPC@Uni.lu<\/td>234<\/td>21<\/td>0.389643<\/td>32<\/td>128<\/td>206.38 Watts<\/td>\n<\/tr>\n
57<\/td>0.20<\/td>Swiss National Supercomputing Center<\/td>Todi<\/td>122<\/td>29<\/td>15.598300<\/td>272<\/td>8160<\/td>79012 Watts<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":53,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/graph500.org\/index.php?rest_route=\/wp\/v2\/pages\/1077"}],"collection":[{"href":"https:\/\/graph500.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/graph500.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/graph500.org\/index.php?rest_route=\/wp\/v2\/users\/53"}],"replies":[{"embeddable":true,"href":"https:\/\/graph500.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1077"}],"version-history":[{"count":2,"href":"https:\/\/graph500.org\/index.php?rest_route=\/wp\/v2\/pages\/1077\/revisions"}],"predecessor-version":[{"id":1079,"href":"https:\/\/graph500.org\/index.php?rest_route=\/wp\/v2\/pages\/1077\/revisions\/1079"}],"wp:attachment":[{"href":"https:\/\/graph500.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}