November 14 Green: BIG DATA
| Rank | MTEPS/W | Site | Machine | Graph500 rank | Scale | GTEPS | Nodes | Cores | Power |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 61.48 | Kyushu University | GraphCREST-SandybridgeEP-2.4GHz | 66 | 30 | 28.614000 | 1 | 32 | 465.4 Watts |
| 2 | 56.28 | Kyushu University | GraphCREST-SandybridgeEP-2.4GHz | 65 | 30 | 29.542000 | 1 | 32 | 524.9 Watts |
| 3 | 48.28 | Kyushu University | GraphCREST-Sandybridge-EP-2.7GHz | 63 | 30 | 31.950000 | 1 | 32 | 661.7 Watts |
| 4 | 44.42 | Kyushu University | GraphCREST-Huawei | 53 | 32 | 55.741000 | 1 | 60 | 1255 Watts |
| 5 | 35.87 | Tokyo Institute of Technology | GraphCREST-Custom #1 | 84 | 32 | 10.641400 | 1 | 32 | 296.654 Watts |
| 6 | 35.21 | Tokyo Institute of Technology | GraphCREST-Custom #1 | 75 | 31 | 13.796300 | 1 | 32 | 391.825 Watts |
| 7 | 28.88 | Tokyo Institute of Technology | MEM-CREST Node #2 | 92 | 30 | 7.984170 | 1 | 16 | 276.507 Watts |
| 8 | 22.36 | The University of British Columbia | Alkindi26-hybrid | 86 | 30 | 10.307900 | 1 | 1 | 461 Watts |
| 9 | 17.24 | Kyushu University | GraphCREST-Bulldozer | 76 | 31 | 13.633000 | 1 | 64 | 790.8 Watts |
| 10 | 14.06 | Tokyo Institute of Technology | TSUBAME-KFC | 48 | 32 | 104.310000 | 32 | 384 | 7419.85 Watts |
| 11 | 12.48 | The Institute of Statistical Mathematics | ismuv2k2 | 44 | 32 | 131.427000 | 1 | 640 | 10530 Watts |
| 12 | 10.86 | The University of British Columbia | Alkindi26-CPU | 108 | 30 | 4.247120 | 1 | 1 | 391 Watts |
| 13 | 5.41 | Forschungszentrum Juelich (FZJ) | JUQUEEN | 4 | 38 | 5848.000000 | 16384 | 262144 | 1081340 Watts |
| 14 | 4.42 | Argonne National Laboratory | DOE/SC/Argonne National Laboratory Mira | -1 | 40 | 14328.000000 | 49152 | 786432 | 3244030 Watts |
| 15 | 4.35 | Tokyo Institute of Technology | EBD-RH5885v2 | 114 | 30 | 3.674750 | 1 | 48 | 844.337 Watts |
| 16 | 3.72 | Lawrence Livermore National Laboratory | DOE/NNSA/LLNL Sequoia | 1 | 41 | 23751.000000 | 98304 | 1572864 | 6389760 Watts |
| 17 | 3.42 | Tokyo Institute of Technology | EBD-RH5885v2 | 117 | 33 | 3.107220 | 1 | 48 | 908.22 Watts |
| 18 | 1.89 | Research Center for Advanced Computing Infrastructure Japan Advanced Institute of Science and Technology | altix | 61 | 30 | 37.659300 | 1 | 512 | 19873 Watts |
| 19 | 0.73 | Mayo Clinic | grace | 85 | 31 | 10.319000 | 64 | 64 | 14100 Watts |
| 20 | 0.05 | Institute of Mathematics and Mechanics UrB RAS | URAN | 119 | 30 | 2.796350 | 16 | 1984 | 57600 Watts |
| 21 | 0.05 | Swiss National Supercomputing Center | Matterhorn | 152 | 31 | 0.897000 | 64 | 64 | 19557 Watts |
November 14 Green : SMALL DATA
| Rank | MTEPS/W | Site | Machine | Graph500 rank | Scale | GTEPS | Nodes | Cores | Power |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 445.92 | George Washington University | Colonial | 45 | 20 | 122.182000 | 1 | 12 | 274 Watts |
| 2 | 235.15 | Kyushu University | GraphCREST-Xperia-Z1-SO-01F | 146 | 20 | 1.033000 | 1 | 4 | 4.393 Watts |
| 3 | 230.40 | Kyushu University | GraphCREST-Xperia-A-SO-04E | 159 | 20 | 0.739000 | 1 | 4 | 3.2074 Watts |
| 4 | 204.38 | Tokyo Institute of Technology | EBD-GoldenBox-Prototype | 128 | 21 | 1.635030 | 1 | 5 | 8 Watts |
| 5 | 180.76 | Kyushu University | GraphCREST-Xperia-A-SO-04E | 164 | 21 | 0.588000 | 1 | 4 | 3.253 Watts |
| 6 | 171.77 | Kyushu University | GraphCREST-Xperia-Z1-SO-01F | 151 | 21 | 0.909000 | 1 | 4 | 5.292 Watts |
| 7 | 170.64 | University of Tsukuba | kitty6 | 62 | 25 | 35.180000 | 1 | 8 | 206.164 Watts |
| 8 | 153.17 | Chuo University | GraphCREST-Xperia-A-SO-04E | -1 | 20 | 0.478000 | 1 | 4 | 3.12071 Watts |
| 9 | 129.63 | Tokyo Institute of Technology | GraphCREST-NEXUS7-2013 | 166 | 20 | 0.534713 | 1 | 4 | 4.1248 Watts |
| 10 | 87.12 | Kyushu University | GraphCREST-SandybridgeEP-2.4GHz | 60 | 27 | 41.802000 | 1 | 32 | 479.8 Watts |
| 11 | 81.49 | Kyushu University | GraphCREST-SandybridgeEP-2.4GHz | 57 | 27 | 42.450000 | 1 | 32 | 520.9 Watts |
| 12 | 73.57 | University of Tsukuba | kitty6 | 71 | 25 | 17.207000 | 1 | 8 | 233.894 Watts |
| 13 | 68.74 | Kyushu University | GraphCREST-Sandybridge-EP-2.7GHz | 55 | 27 | 45.710000 | 1 | 32 | 665 Watts |
| 14 | 64.11 | Chuo University | GraphCREST-Tegra3 | -1 | 20 | 0.154000 | 1 | 4 | 2.402 Watts |
| 15 | 53.82 | Chuo University | GraphCREST-Intel-NUC | 144 | 23 | 1.081750 | 1 | 2 | 20.1 Watts |
| 16 | 53.47 | Chuo University | GraphCREST-Mac-mini | -1 | 24 | 1.941000 | 1 | 4 | 36.3 Watts |
| 17 | 52.02 | Chuo University | GraphCREST-MBA13 | 139 | 23 | 1.227610 | 1 | 2 | 23.6 Watts |
| 18 | 51.61 | Chuo University | GraphCREST-Retina15 | -1 | 24 | 1.987000 | 1 | 4 | 38.5 Watts |
| 19 | 45.43 | Chuo University | GraphCREST-4Way-SandybridgeEP-2.4GHz | -1 | 27 | 29.034000 | 1 | 64 | 639.1 Watts |
| 20 | 41.01 | Chuo University | GraphCREST-Sandybridge-EP-2.7GHz | -1 | 27 | 31.648000 | 1 | 64 | 771.71 Watts |
| 21 | 39.29 | Changsha China | TH-IVB-FEP/C | 88 | 26 | 9.744020 | 1 | 24 | 248 Watts |
| 22 | 32.25 | Chuo University | GraphCREST-NEXUS10 | -1 | 20 | 0.119000 | 1 | 2 | 3.69 Watts |
| 23 | 30.41 | Tokyo Institute of Technology | ULP2012 ultra-green oil-cooled server : GraphCREST | 101 | 24 | 5.123720 | 1 | 12 | 168.5 Watts |
| 24 | 29.47 | Chuo University | GraphCREST-Sandybridge-EP-2.7GHz | -1 | 29 | 22.983000 | 1 | 64 | 779.88 Watts |
| 25 | 20.58 | Chuo University | GraphCREST-SBep2.0 | -1 | 25 | 6.142000 | 1 | 16 | 298.44 Watts |
| 26 | 18.68 | Chuo University | GraphCREST-SBep2.9 | -1 | 25 | 6.777000 | 1 | 16 | 362.79 Watts |
| 27 | 17.39 | Chuo University | GraphCREST-4waySBep2.4 | -1 | 26 | 11.115000 | 1 | 32 | 639 Watts |
| 28 | 10.95 | Chuo University | GraphCREST-Wex40 | -1 | 26 | 11.061000 | 1 | 40 | 1010.13 Watts |
| 29 | 10.25 | Tokyo Institute of Technology | MEM-CREST Node #1 | 116 | 29 | 3.111710 | 1 | 16 | 303.6 Watts |
| 30 | 2.43 | The University of British Columbia | Alkindi | 140 | 28 | 1.205760 | 1 | 1 | 496 Watts |
| 31 | 1.89 | University of Luxembourg | Viridis HPC@Uni.lu | 169 | 21 | 0.389643 | 32 | 128 | 206.38 Watts |
| 32 | 0.20 | Swiss National Supercomputing Center | Todi | 72 | 29 | 15.598300 | 272 | 8160 | 79012 Watts |