This round has been closed as all proposals have been handled.
To apply, you must be a scientist in Swedish academia, at least at the level of assistant professor.
Deadlines and Decisions
Monthly evaluation of proposals during the year.
Proposals submitted at the latest on the 15th will undergo review during the same month.
July and December have different schedules.
Proposals submitted at the latest on the 13th December will undergo review before Christmas. Proposals submitted later in December will be processed in January.
Proposals submitted after June 15 will be processed in August. i.e. with a first possible allocation starting September 1st!
This round is open for proposals until 2024-01-01 00:00.
|
Resource |
Centre |
Total
Requested |
Upper
Limit |
Available |
Unit |
Note |
|
|
Alvis |
C3SE |
565 998 |
20 000 |
390 000 |
GPU-h/month |
The Alvis resource is dedicated for AI/ML research.
|
|
|
The Alvis resource is dedicated for research in and research using AI/ML techniques.
For general use of GPU:s instead use Dardel.
The Alvis cluster is a national NAISS resource dedicated to Artificial Intelligence and
Machine Learning research.
Note: Significant generation of training data is expected to be done elsewhere.
The system is built around Graphical Processing Units
(GPUs) accelerator cards. The first phase of the resource has 160 NVIDIA T4, 44
V100, and 4 A100 GPUs. The second phase is based on 340 NVIDIA A40 and 336
A100 GPUs.
|
|
|
|
|
Tetralith |
NSC |
31 107 |
400 |
14 500 |
x 1000 core-h/month |
|
|
|
Projects will receive a default 500 GiB storage allocation on Centre Storage at NSC. If you need more storage, please apply for a Storage project and decline default storage from this compute proposal.
Tetralith is a general computational resource hosted by NSC at Linköping University.
Tetralith servers have two Intel Xeon Gold 6130 processors, providing 32 cores per server. 1844 of the servers are equipped with 96 GiB of primary memory and 64 servers with 384 GiB. All servers are interconnected with a 100 Gbit/s Intel Omni- Path network which is also used to connect the existing storage. Each server has a local SSD disk for ephemeral storage (approx. 200GiB per thin node, 900GiB per fat node). An IBM Spectrum Scale system comprises the centre storage. 170 of the Tetralith nodes are equipped with one NVIDIA Tesla T4 GPU each as well as a high- performance NVMe SSD scratch disk of 2TB.
|
|
|
|
|
Dardel |
PDC |
24 022 |
400 |
28 500 |
x 1000 core-h/month |
|
|
|
Dardel is a Cray EX system from Hewlett Packard Enterprise, based on AMD EPYC processors with an accompanying Lustre storage system.
The nodes are interconnected using Slingshot HPC Ethernet.
|
|
|
|
|
Dardel-GPU |
PDC |
28 760 |
4 000 |
106 000 |
GPU-h/month |
|
|
|
GPU nodes on Dardel will probably be generally available 2023-01-01, but there is a risk for delays due to server maintenance to accomodate the GPUs.
Also, these GPUs are not nVIDIA GPUs but rather AMD GPUs, so if your software runs using CUDA, a certain amount of conversion of the code is needed.
You can read information about this at https://www.lumi-supercomputer.eu/preparing-codes-for-lumi-converting-cuda-applications-to-hip/
Dardel-GPU is the accelerated partition based on AMD’s Instinct MI250X GPU of the Cray EX system from Hewlett Packard Enterprise. It has an accompanying Lustre storage system.
The nodes are interconnected using Slingshot HPC Ethernet.
|
|
|
|
|
Rackham |
UPPMAX |
8 257 |
200 |
3 500 |
x 1000 core-h/month |
|
|
|
Rackham provides 9720 cores in the form of 486 nodes with two 10-core Intel Xeon V4 CPUs each. 4 fat nodes have 1 TB of memory, 32 fat nodes have 256 GB, and the rest have 128 GB.
The interconnect is Infiniband.
|
|
|
