Quorra - NVIDIA Ampere GPUs¶
Acknowledgments¶
Quorra1 is also funded via GT’s Techfee program, so usage for this server is reserved for coursework (when requested by instructors or students). Please read more about Techfee hardware on this page
System Specifications¶
| Queues | Node Name | CPU | Memory (GB) | Network | Cards | Notes |
|---|---|---|---|---|---|---|
| rg-gpu | quorra1 | 2x AMD EPYC 7502 (Rome) | 256 GB DDR4, 3200 MHz, 16 GB DIMMs | Connect-X 5 (MT27800), 100 GE; Bluefield-2 DPU (MT42822) | 4x A30; 1x A100 | |
| rg-gpu | quorra2 | 2x AMD EPYC 7502 (Rome) | 256 GB DDR4, 3200 MHz, 16 GB DIMMs | Connect-X 5 (MT27800), 100 GE; Bluefield-2 DPU (MT42822) | 4x A30 |
Software and Tools¶
| Distro | Kernel | Standard Compilers | Other Compilers | MPI | Miscellaneous |
|---|---|---|---|---|---|
| Ubuntu 20.04 | 5.4.0 | GCC 7.5 | `CUDA 11.5 <>`__, CUDA 10.2 | DOCA 1.4.0079 |
How do I get to Quorra?¶
As with most CRNCH resources, you need to either log in via the gateway node, rg-login, or access the system from the campus network via VPN or an on-campus connection.
To request an allocation on Quorra using slurm:
//Request an allocation of 1 hr, partition rg-gpu, and specify the node name for the server with -w
salloc -t 1:00:00 -p rg-gpu -w quorra2
//SSH to the resource
ssh quorra2
Useful training material¶
TBD