{"id":7385,"date":"2022-11-18T09:40:40","date_gmt":"2022-11-18T09:40:40","guid":{"rendered":"http:\/\/escience.sdu.dk\/?post_type=news&p=7385"},"modified":"2022-11-22T09:02:17","modified_gmt":"2022-11-22T09:02:17","slug":"apply-for-hpc-resources-sdu-employees-only-2","status":"publish","type":"news","link":"http:\/\/escience.sdu.dk\/index.php\/news\/apply-for-hpc-resources-sdu-employees-only-2\/","title":{"rendered":"Apply for HPC resources (SDU employees only)"},"content":{"rendered":"\n

If you are a researcher at SDU, you can now apply for HPC resources for the first half of 2023. Please submit your application on the 15th of December 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 for the first half of 2023: 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>\u00a0via our\u00a0service desk<\/a>. The hardware accessible to SDU users for a Type 2 HPC project is shown below.\u00a0NB: 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

<\/p>\n\n\n\n

Resources available to SDU for the first half of 2023: 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>\u00a0<\/a>for resources on one of the HPC Type 3 systems should also be submitted to our\u00a0service desk<\/a>. The user guide can be found via\u00a0this link<\/a>.<\/p>\n\n\n\n

Resources available to SDU for the first half of 2023: 800,000 core hours.<\/p>\n\n\n\n

LUMI \u2013 European pre-exascale supercomputer <\/strong><\/p>\n\n\n\n

LUMI is an abbreviation for \u201cLarge Unified Modern Infrastructure\u201d, and is located in CSC\u2019s data center in Kajaani, Finland. <\/p>\n\n\n\n

LUMI is one of three European pre-exascale supercomputers part of the EuroHPC project.<\/p>\n\n\n\n

For more information, check the official documentation here<\/a>.<\/p>\n\n\n\n

Researchers at SDU can apply for compute time on LUMI by submitting an\u00a0application form\u00a0<\/a><\/a>via our service desk<\/a>.<\/p>\n\n\n\n

Resources available to SDU for the first half of 2023: 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