Computing Resources

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The CS Dept. deploys many servers. We have general purpose compute and GPU compute servers, as well as specialized GPU and FPGA servers. We also have database, NX/Nomachine (graphical desktop), and Windows servers. This section describes the general use and research use servers (see other sections for database and other server information).

Per CS Dept. policy, non interactive login CS Dept. servers are placed into the SLURM job scheduling queues and available for general use. Also, per that policy, if a user in a research group that originally purchased the hardware requires exclusive use of that hardware, they can be given a reservation for that exclusive use for a specified time. Otherwise, the systems are open for use by anyone with a CS account. This policy was approved by the CS Dept. Computing Committee comprised of CS Faculty.

This policy allows servers to be used when the project group is not using them. So instead of sitting idle and consuming power and cooling, other Dept users can benefit from the use of these systems.

The portal nodes are general purpose servers into which anyone can login. They are the “jump off” point for off Grounds connections to the CS network. The servers are in a load balanced cluster, and are accessed through ssh to portal.cs.virginia.edu.

Feel free to use these servers to code, compile, test, etc.. However these are not meant for long running processes that will tie up resources. Computationally expensive processes should be run on other nodes.

All GPU, Memory, CPU, etc. counts are per node.

Hostname	Memory (GB)	CPU Type	CPUs	Cores/CPU	Threads/Core	Total Cores
portal[01-04]	132	Intel	1	8	2	16

The gpusrv* servers are general purpose, interactive login nodes that are intended for code development and testing. Long running processes are discouraged, and are better suited to one of the SLURM controlled GPU nodes.

All GPU, Memory, CPU, etc. counts are per node.

Hostname	Memory (GB)	CPU Type	CPUs	Cores/CPU	Threads/Core	Total Cores	GPUs	GPU Type
gpusrv[01-08]	256	Intel	2	10	2	20	4	Nvidia RTX 2080Ti

See our main article on Slurm for more information.

These servers are available by submitting a job through the SLURM job scheduler. All GPU, Memory, CPU, etc. counts are per node.

Hostname	Memory (GB)	CPU Type	CPUs	Cores/CPU	Threads/Core	Total Cores	GPUs	GPU Type
hermes[1-4]	256	AMD	4	16	1	64	0
slurm[1-5]	512	Intel	2	12	2	24	0
nibbler[1-4]	64	Intel	2	10	2	20	0
trillian[1-3]	256	AMD	4	8	2	64	0
granger[1-6]	64	Intel	2	10	2	40	0
granger[7-8]	64	Intel	2	2	4	16	0
ai[01-06]	64	Intel	2	8	2	32	4	Nvidia GTX1080Ti
lynx[01-04]	64	Intel	4	8	2	32	4	Nvidia GTX1080Ti
lynx[05-07]	64	Intel	4	8	2	32	4	Nvidia P100
lynx[08-09]	64	Intel	4	8	2	32	3	ATI FirePro W9100
lynx[10]	64	Intel	4	8	2	32	0	Altera FPGA
lynx[11-12]	64	Intel	4	8	2	32	0
ristretto[01-04]	128	Intel	2	6	1	12	8	Nvidia GTX1080Ti
affogato[01-15]	128	Intel	2	8	2	32	0
affogato[11-15]	128	Intel	2	8	2	32	4	Nvidia GTX1080Ti
cortado[01-10]	512	Intel	2	12	2	48	0

See our main article on Slurm for more information on using partitions

Queue	Nodes
main	hermes[1-4], artemis[1-3], slurm[1-5], nibbler[1-4], trillian[1-3], granger[1-6], granger[7-8], lynx[08-12], cortado[01-10]
share	lynx[01-12]
gpu	artemis[4-7], ai0[1-6], lynx[01-07], affogato[11-15], ristretto[01-04]

Computing Resources

General Purpose Nodes

gpusrv nodes

Nodes controlled by the SLURM Job Scheduler

SLURM Queues