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 SC23 Argonne National Laboratory Aurora Intel DAOS 300 62400 32,165.90 10,066.09 102,785.41
2 SC23 LRZ SuperMUC-NG-Phase2-EC Lenovo DAOS 90 6480 2,508.85 742.90 8,472.60
3 ISC25 Erlangen National High Performance Computing Center Helma MEGWARE Lustre 186 18600 838.99 438.62 1,604.84
4 ISC25 Samsung Electronics SSC-24 WekaIO WekaIO 291 16005 826.86 248.67 2,749.41
5 SC23 King Abdullah University of Science and Technology Shaheen III HPE Lustre 2080 16640 797.04 709.52 895.35
6 SC24 MSKCC IRIS WekaIO WekaIO 261 27144 665.49 252.54 1,753.69
7 ISC23 EuroHPC-CINECA Leonardo DDN EXAScaler 2000 16000 648.96 807.12 521.79
8 SC24 SoftBank Corp CHIE-3 DDN EXAScaler 240 26880 500.20 331.66 754.41
9 ISC25 Joint Center for Advanced High Performance Computing Miyabi-G DDN Lustre 200 1600 391.60 319.00 480.72
10 SC24 Danish Centre for AI innovation AS GEFION DDN EXAScaler 128 12288 368.56 209.06 649.73
11 ISC25 Hudson River Trading HRT DDN EXAScaler 10 1600 348.08 136.05 890.51
12 ISC24 Zuse Institute Berlin Lise Megware DAOS 10 960 324.54 65.01 1,620.13
13 SC24 University of Florida HiPerGator AI DDN EXAScaler 10 640 243.61 124.89 475.20
14 ISC25 SAKURA Internet Inc and Prunus Solutions Inc SAKURAONE DDN EXAScaler 96 12288 214.09 139.80 327.84
15 ISC22 China Telecom Research Institute CTPAI CTCLOUD DAOS 10 200 187.84 25.29 1,395.01
16 ISC24 NHN Cloud Corporation NHN CLOUD GWANGJU AI DDN EXAScaler 10 640 176.57 62.58 498.22
17 ISC24 ACC Cyfronet AGH Helios HPE Lustre 80 640 153.39 122.31 192.36
18 ISC23 Imperial College London Imperial - hx cluster Lenovo Spectrum scale 32 512 119.56 44.63 320.31
19 ISC24 Centre de Recherche en Aeronautique Lucia IBM Storage Scale 256 1024 115.06 54.74 241.83
20 ISC24 University of Virginia Afton Dell WEKA 10 850 105.94 33.28 337.29
21 SC23 Japan Agency for Marine-Earth Science and Technology Earth Simulator 4 DDN EXAScaler 10 320 101.88 48.19 215.38
22 SC24 Poznan Supercomputing and Networking Center Proxima xFiusion Lustre 10 300 77.76 17.94 337.05
23 ISC24 Poznan Supercomputing and Networking Center Altair xFiusion Lustre 15 240 73.50 15.24 354.60
24 SC23 Center for Research Informatics at University of Chicago Randi IBM Spectrum Scale 10 160 60.88 31.05 119.36
25 ISC24 Saudi ARAMCO CSSP DDN EXAScaler 93 744 55.11 38.14 79.63
26 SC24 Howard Hughes Medical Institute Janelia Research Campus Janelia Compute cluster Vast Data Vast 32 2048 47.19 18.78 118.59
27 ISC25 Istituto Nazionale di Fisica Nucleare Tier1-CNAF Huawei Spectrum Scale 10 100 37.26 11.30 122.93
28 SC24 Wroclaw Centre for Networking and Supercomputing Lem Huawei/xFusion Lustre 10 200 28.02 10.76 72.99
29 SC23 Mississippi State University High Performance Computing Collaboratory Orion DDN Lustre 10 400 20.83 5.01 86.67
30 ISC23 Arizona State University Sol Dell BeeGFS 10 160 16.48 4.40 61.76
31 ISC25 UCloud UCloud Compute cluster UCloud UPFS 10 320 15.57 12.33 19.65
32 ISC25 Istituto Nazionale di Fisica Nucleare Tier1-CNAF DELL ceph 10 160 8.13 8.28 7.98
33 SC23 Eikon Therapeutics spt-compute1 Qumulo Qumulo Core 20 40 7.58 2.82 20.38
34 SC24 RTX Pratt Whitney Wilson VDURA PanFS 10 160 6.70 2.17 20.70

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))