Your Customized List

You can build your customized list by selecting any of the available fields.
Once you satisfied with your list, scroll down to save it and share with the community. Explore!

Remove duplicate records based on tuple (information_system, information_institution, information_filesystem_type).

You can use any columns with numeric values for the custom equation. It has support for +, -, *, / and power (^) operators plus ().

You can also use the following functions for columns with numeric values: abs, ceil, floor, ln (log), lg log10, max, min, round, and sqrt.

You can also use logical operators (==, !=, <, >, >=, <=, &&, ||) to filter entries for the list. You need to multiply the result of the filter with the the custom equation. Here is an example:

SC19 10-node bandwidth list: (io500_bw) * (information_list_name == 'SC19' && information_client_nodes == 10)

More examples can be found at the end of the page!

# Information IO500
list name institution system storage vendor filesystem type client nodes client total procs score bw md
1 ISC19 University of Cambridge Data Accelerator Dell EMC Lustre 512 8192 620.69 162.05 2,377.44
2 SC18 Oak Ridge National Laboratory Summit IBM Spectrum Scale 504 1008 330.56 88.20 1,238.93
3 ISC19 JCAHPC Oakforest-PACS DDN IME 2048 2048 275.65 492.06 154.41
4 SC18 University of Cambridge Data Accelerator Dell EMC Lustre 528 4224 158.71 71.40 352.75
5 SC18 Korea Institute of Science and Technology Information (KISTI) NURION DDN IME 2048 4096 156.91 554.23 44.43
6 ISC18 JCAHPC Oakforest-PACS DDN IME 2048 16384 137.78 560.10 33.89
7 ISC19 DDN IME140 DDN IME 17 272 112.67 90.34 140.52
8 ISC19 DDN Colorado DDN IME140 DDN IME 10 160 109.42 75.79 157.96
9 ISC19 DDN AI400 DDN Lustre 10 160 104.34 19.65 553.98
10 ISC18 JCAHPC Oakforest-PACS DDN IME 2048 16384 101.48 471.25 21.85
11 ISC19 University of Cambridge Data Accelerator Dell EMC Lustre 10 320 98.31 26.94 358.85
12 ISC19 DDN IME140 DDN IME 10 160 95.10 76.89 117.62
13 ISC19 CSIRO bracewell Dell/ThinkParQ BeeGFS 26 260 88.26 67.44 115.50
14 SC18 WekaIO WekaIO WekaIO 17 935 78.37 37.39 164.26
15 ISC18 KAUST ShaheenII Cray DataWarp 1024 8192 77.37 496.81 12.05
16 SC18 University of Cambridge Data Accelerator Dell EMC BeeGFS 184 5888 74.58 58.81 94.57
17 ISC19 DDN Japan AI400 DDN Lustre 10 160 74.10 12.22 449.28
18 ISC18 KAUST ShaheenII Cray DataWarp 300 2400 70.90 151.53 33.17
19 ISC19 Janelia Research Campus, HHMI Weka WekaIO 10 3200 66.43 27.74 159.12
20 ISC19 CSIRO bracewell Dell/ThinkParQ BeeGFS 10 160 63.46 34.85 115.56
21 ISC19 DDN 400NV DDN GRIDScaler 10 30 59.49 13.55 261.21
22 SC18 WekaIO WekaIO WekaIO Matrix 10 700 58.25 27.05 125.43
23 SC18 Google Exascaler on GCP Google Lustre 120 960 47.23 23.06 96.74
24 SC18 Oak Ridge National Laboratory Summit IBM Spectrum Scale 10 160 44.30 9.84 199.48
25 SC18 JCAHPC Oakforest-PACS DDN Lustre 256 8192 44.24 21.42 91.40
26 SC18 JCAHPC Oakforest-PACS DDN Lustre 256 8192 42.18 20.04 88.78
27 ISC18 KAUST ShaheenII Cray Lustre 1000 16000 41.00 54.17 31.03
28 ISC19 National Computational Infrastructure Australia Raijin NetApp Lustre 15 180 40.92 12.89 129.89
29 SC18 Google Exascaler-on-GCP Google Cloud Lustre 60 480 39.12 14.31 106.91
30 ISC19 National Computational Infrastructure Australia Raijin NetApp Lustre 10 150 37.62 12.82 110.37
31 SC18 Korea Institute of Science and Technology Information (KISTI) NURION DDN IME 2048 4096 35.97 14.06 92.03
32 ISC18 JSC JURON ThinkparQ BeeGFS 8 64 35.77 14.24 89.81
33 SC19 Genomics England GELous WekaIO 10 1400 34.38 15.17 77.89
34 ISC18 DKRZ Mistral Seagate Lustre 100 1000 32.15 22.77 45.39
35 SC18 DDN Bancholab DDN Lustre 10 240 31.50 6.33 156.69
36 ISC18 DKRZ Mistral Seagate Lustre 100 1200 29.33 20.35 42.29
37 ISC19 CSIRO bracewell Dell/ThinkParQ BeeGFS 16 64 26.44 7.11 98.26
38 ISC19 Hewlett Packard Enterprise GTO Hewlett Packard Enterprise HPE XFS 10 200 26.21 19.57 35.11
39 ISC18 IBM Sonasad IBM Spectrum Scale 10 10 24.24 4.57 128.61
40 SC18 Clemson University ofsdev Dell BeeGFS 32 32 22.02 8.55 56.68
41 ISC19 Inspur Inspur BeeGFS 10 400 20.17 8.61 47.26
42 ISC19 Yanrong YRCloudFile Yanrong YRCloudFile 10 160 19.14 4.22 86.86
43 ISC19 DDN 400NV DDN GRIDScaler 1 8 18.28 3.50 95.58
44 ISC19 Janelia Research Campus, HHMI Vast Vast Data Scale-out NAS 96 3072 17.18 8.15 36.22
45 ISC18 Fraunhofer Seislab ThinkparQ BeeGFS 24 24 16.96 5.13 56.14
46 SC18 Clemson University ofsdev Dell BeeGFS 16 16 16.22 7.33 35.88
47 ISC18 DKRZ Mistral Seagate Lustre1 100 1200 15.47 12.68 18.88
48 ISC19 Inspur TStor3000 Inspur BeeGFS 10 400 14.67 4.48 48.06
49 SC18 KAUST Shaheen II Cray DataWarp 10 80 13.99 14.45 13.53
50 SC18 Clemson University ofsdev Dell BeeGFS 16 32 13.12 3.17 54.21
51 SC18 Google and DDN Lustre on GCP Google Lustre 10 80 12.82 4.30 38.23
52 ISC19 University of Birmingham BEAR-AI DDN Spectrum Scale 10 20 12.54 2.97 52.85
53 SC18 Clemson University ofsdev Dell BeeGFS 16 64 12.51 2.10 74.72
54 ISC19 Janelia Research Campus, HHMI dm11 Scale-out NAS 96 960 12.45 3.22 48.16
55 ISC18 Joint Institute for Nuclear Research Govorun RSC Lustre 24 192 12.08 3.34 43.65
56 ISC19 Janelia Research Campus, HHMI Vast Vast Data Scale-out NAS 10 480 11.96 5.64 25.37
57 ISC19 Queen Mary University Of London Apocrita E8 Spectrum Scale 10 240 11.73 4.73 29.11
58 ISC18 PNNL EMSL Cascade Lustre 126 252 11.12 4.88 25.33
59 SC18 Clemson University ofsdev Dell BeeGFS 16 128 11.01 1.90 63.81
60 SC18 Clemson University ofsdev Dell BeeGFS 10 80 10.17 2.32 44.67
61 SC18 Queen Mary; University Of London Apocrita E8 GPFS 10 240 9.65 4.32 21.55
62 SC18 Clemson University Palmetto Dell BeeGFS 32 32 9.42 2.94 30.19
63 ISC19 Janelia Research Campus, HHMI dm11 Scale-out NAS 10 320 9.22 2.38 35.64
64 SC18 Clemson University Palmetto Dell BeeGFS 16 16 9.07 2.84 28.95
65 SC18 Clemson University ofsdev Dell Lustre 16 64 8.63 2.10 35.37
66 SC18 Clemson University ofsdev Dell Lustre 16 128 8.58 2.05 35.83
67 ISC19 SUSE TigerShark SUSE, Intel, Lenovo CephFS 14 98 8.38 3.58 19.60
68 SC18 Clemson University Palmetto Dell BeeGFS 48 48 7.64 2.93 19.88
69 SC18 CERN Bytecollider CephFS 64 64 7.56 2.83 20.16
70 SC18 Clemson University ofsdev Dell Lustre 10 40 7.36 1.90 28.59
71 ISC19 SUSE TigerShark SUSE, Intel, Lenovo SUSE Enterprise Storage 10 70 7.32 2.48 21.60
72 SC18 Clemson University Palmetto Dell BeeGFS 10 10 7.14 2.32 22.05
73 SC18 Clemson University Palmetto Dell BeeGFS 32 32 6.67 2.95 15.10
74 SC18 Clemson University Palmetto Dell BeeGFS 32 128 6.26 1.25 31.42
75 SC18 Clemson University Palmetto Dell BeeGFS 32 64 6.16 1.25 30.28
76 SC18 Clemson University ofsdev Dell Lustre 16 32 6.07 1.34 27.56
77 SC18 CERN Bytecollider CephFS 64 64 6.01 2.85 12.64
78 ISC19 Janelia Research Campus, HHMI nrs Qumulo Scale out NFS 10 320 5.95 2.59 13.69
79 SC18 Clemson University Palmetto Dell BeeGFS 32 256 5.79 1.05 31.92
80 ISC19 PGS Lustre on GCP Google Lustre 10 50 5.70 1.91 17.05
81 ISC19 Janelia Research Campus, HHMI qflash Qumulo Scale out NFS 96 960 5.32 2.80 10.11
82 SC18 DKRZ Mistral Seagate Lustre2 10 80 5.32 1.05 27.06
83 SC18 Clemson University Palmetto Dell BeeGFS 16 16 5.08 2.24 11.49
84 SC18 Clemson University ofsdev Dell Lustre 16 16 4.88 1.31 18.17
85 ISC19 Janelia Research Campus, HHMI qflash Qumulo Scale out NFS 10 120 4.46 2.12 9.35
86 ISC19 Queen Mary. University Of London Apocrita DDN Spectrum Scale 10 240 4.36 1.26 15.09
87 ISC18 SNL Serrano IBM Spectrum Scale 16 160 4.25 0.65 27.98
88 SC18 EPCC Archer Seagate Lustre 10 80 3.70 0.77 17.84
89 ISC19 JIHT RAS Desmos BeeGFS 10 60 3.55 0.51 24.88
90 SC18 Queen Mary, University Of London Apocrita DDN GPFS 10 240 3.44 0.87 13.56
91 ISC19 JIHT RAS Fisher BeeGFS 10 320 3.19 0.51 20.03
92 ISC18 STFC Jasmin/Lotus Purestorage NFS 64 128 2.33 0.26 20.93
93 SC18 Clemson University Palmetto Dell OrangeFS 32 32 2.31 1.93 2.77
94 SC18 Clemson University Palmetto Dell OrangeFS 48 48 2.15 1.80 2.57
95 SC18 Nemours nas6 DDN GPFS 1 2 2.06 1.39 3.04
96 ISC18 STFC Jasmin/Lotus Purestorage NFS 16 64 1.98 0.21 18.77
97 SC18 Nemours nas6 DDN GPFS 1 2 1.52 0.74 3.11
98 SC18 Clemson University Palmetto Dell OrangeFS 16 16 1.47 1.21 1.79
99 SC18 Sandia National Laboratories Ghost IBM GPFS 10 100 0.31 0.05 1.85

Additional examples on how to create custom lists:

Bandwidth per server list: (information_ds_nodes + information_md_nodes != 0) * (io500_bw / (information_ds_nodes + ((information_ds_nodes == 0) * information_md_nodes) + 0.0001))

Metadata per server list: (information_ds_nodes + information_md_nodes != 0) * (io500_md / (information_md_nodes + ((information_md_nodes == 0) * information_ds_nodes) + 0.0001))