{"id":7161,"date":"2022-05-16T12:37:58","date_gmt":"2022-05-16T12:37:58","guid":{"rendered":"http:\/\/escience.sdu.dk\/?post_type=news&p=7161"},"modified":"2022-06-14T13:26:31","modified_gmt":"2022-06-14T13:26:31","slug":"apply-for-national-hpc-resources","status":"publish","type":"news","link":"http:\/\/escience.sdu.dk\/index.php\/news\/apply-for-national-hpc-resources\/","title":{"rendered":"Apply for national HPC resources reserved for SDU researchers"},"content":{"rendered":"\n

If you are a researcher at SDU, you can now apply for the national HPC resources available to SDU for the rest of 2022. Please submit your application on the 15th of June at the latest<\/strong>. <\/p>\n\n\n\n

Remember that you can apply for resources on four different types of National Systems<\/a>:<\/p>\n\n\n\n

HPC Type1, Interactive HPC<\/strong><\/p>\n\n\n\n

Access the YouGene cluster hosted at the SDU eScience Center and the GPUs and Virtual Machine (VM) infrastructure at Aalborg University via UCloud<\/a> by submitting a grant application for a research project as explained in the related documentation<\/a>.<\/p>\n\n\n\n

Resources available to SDU: 2,000,000 CPU core hours and 99,000 GPU core hours.<\/p>\n\n\n\n

HPC Type 2 \u2013 Throughput HPC<\/strong><\/p>\n\n\n\n

Access the HPC Type 2 facilities by submitting an application form<\/a> via our service desk<\/a>. The hardware accessible to SDU users for a Type 2 HPC project is shown below. NB: there is no FAT or GPU nodes on Type 2.<\/strong><\/p>\n\n\n\n

Compurerome 2.0<\/strong><\/td>GenomeDK<\/strong><\/td>Sophia<\/strong><\/td><\/tr>
Xeon Gold 6230 Cascade Lake, 40 cores, 192 GB <\/td>AMD EPYC Rome 7452, 64 cores, 512 GB<\/td>AMD EPYC 7351, 32 cores, 128 GB<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Resources available to SDU: 1,440,000 CPU core hours.<\/p>\n\n\n\n

HPC Type 3 \u2013 Large Memory HPC <\/strong><\/p>\n\n\n\n

The application form<\/a> for resources on one of the HPC Type 3 systems should also be submitted to our service desk<\/a>. The user guide can be found via this link<\/a>.<\/p>\n\n\n\n

Resources available to SDU: 800,000 core hours.<\/p>\n\n\n\n

LUMI – European pre-exascale supercomputer <\/strong><\/p>\n\n\n\n

Application forms<\/a> should also be submitted to our service desk<\/a>. <\/p>\n\n\n\n

Resources available to SDU: 2,500,000 CPU core hours.<\/p>\n\n\n\n

If you need help with\/advice on how to write your application<\/strong>, please contact the representative from your faculty in the SDU eScience Center Operational Board:<\/p>\n\n\n\n