NAISS
SUPR
SUPR
SNIC SENS Medium 2017

Decided

This round has been closed as all proposals have been handled.

This SNIC-SENS round is for medium-scale projects involving sensitive personal data on the Bianca system.

A medium project can request up to 150 TB and 100,000 core-hours/month on average. PI's must be employed at a Swedish institute of higher education at least at the level of assistant professor. If the PI is not affiliated with Uppsala University, it is the PI's responsibility that a Personal data assistant agreement (personuppgiftbiträdesavtal) exists (contact Ann-Charlotte Sonnhammer with questions).

Until the first SENSE Large round is announced, a small number of larger projects may be approved in this round.

For a SENS Medium project, the abstract should include a brief description of the planned work and a clear statement that the work involves sensitive personal data. Requested resources, both GB of storage and compute hours, should be motivated in as much detail as possible. A listing of necessary software is encouraged.

The actual project name, which will be used when you log in, is given in the name/Dnr field, and follows the pattern "sens20171XX". SNIC SENS Medium 2017 has a diary pattern that follows the general SNIC pattern, "SNIC 2017/21-XXX", which is not stored in SUPR but can be useful for official information requests.

See further information.

Resources

Resource Centre Total
Requested
Upper
Limit
Available Unit Note
/proj UPPMAX 1 087 500 100 000 1 000 000 GiB
Allocation of backed-up storage should correspond to NGI-reported size of raw data.

Backed up project directory
/proj/nobackup UPPMAX 500 000 50 000 700 000 GiB
Nobackup space should normally correspond to 50% of backed-up space.

Not backed up project directory
Bianca UPPMAX 535 100 1 100 x 1000 core-h/month

Bianca is a research system dedicated to analysing sensitive personal data, or other types of sensitive data.

Bianca provides 4480 cores in the form of 204 dual CPU (Intel Xeon E5-2630 v3) Huawei XH620 V3 nodes with 128GB memory, 75 fat nodes with 256 GB of memory, 15 nodes with 512 GB of memory, ten nodes with two NVIDIA A100 40GB GPUs each.


Click above to show more information about the resource.