Difference between revisions of "Linux Clients on the CS Undergrad Net"

 
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The following is a list of Linux machines available for students, faculty, researchers, or staff.  These Linux machines can be accessed remotely via [[Connecting to CS Systems with SSH|<code>ssh</code>]], <code>scp</code> or [[VNC]].
 
The following is a list of Linux machines available for students, faculty, researchers, or staff.  These Linux machines can be accessed remotely via [[Connecting to CS Systems with SSH|<code>ssh</code>]], <code>scp</code> or [[VNC]].
  
If you're working remotely, although you are welcome to log into '''''any''''' of our Linux clients, it's recommended that you try ''ugradx.cs.jhu.edu'' first, as it can handle more concurrent use than any of the lab machines.  All of the systems are identically configured, however, so ''anything you can do on one of them can be done on all of the others'', too.
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If you're working remotely, although you are welcome to log into '''''any''''' of our Linux clients, it's recommended that you use ''ugradv.cs.jhu.edu'' and ''ugradx.cs.jhu.edu'', as those can handle more concurrent use than any of the lab machines.  All of the systems are identically configured, however, so ''anything you can do on one of them can be done on all of the others'', too.
  
 
===NOTES===
 
===NOTES===
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* '''ugrad1''' through '''ugrad12'''
 
* '''ugrad1''' through '''ugrad12'''
**standard ''Fedora 42'' Linux clients
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** Standard ''Fedora 44'' Linux clients
** Located in [[:Category:Labs|the CS Undergraduate Lab (Malone 122.)]]   
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** Located in [[:Category:Labs|the CS Undergraduate Lab (Malone 122)]]   
 
** Each client has 8 cores (one 4-core i7 CPU with hyperthreading) and 16 GiB RAM.
 
** Each client has 8 cores (one 4-core i7 CPU with hyperthreading) and 16 GiB RAM.
**   Each system includes an NVIDIA-based GPU that may be used with CUDA and OpenCL (already installed) for coursework.
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** Each system includes an NVIDIA-based GPU that may be used with CUDA and OpenCL (already installed) for coursework.
 
** ''These systems are also available remotely via [[Connecting to CS Systems with SSH|SSH]] for logins or [https://en.wikipedia.org/wiki/Secure_copy scp] for secure file transfers.''
 
** ''These systems are also available remotely via [[Connecting to CS Systems with SSH|SSH]] for logins or [https://en.wikipedia.org/wiki/Secure_copy scp] for secure file transfers.''
  
* '''ugradx'''
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* '''ugradv''' and '''ugradx'''
**''Fedora 42'' Linux-based compute server.
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** ''Fedora 44'' Linux-based compute servers
** 24 cores (two 64-bit 6-core CPUs with hyperthreading), 288 GiB RAM
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** 32 cores (one 16-core Xeon 6511P CPU with hyperthreading), 256 GiB RAM
**''only available remotely via [[Connecting to CS Systems with SSH|SSH]] for logins or [https://en.wikipedia.org/wiki/Secure_copy scp] for secure file transfers.''
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** Two NVIDIA L4 Tensor Core GPUs
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** ''Only available remotely via [[Connecting to CS Systems with SSH|SSH]] for logins or [https://en.wikipedia.org/wiki/Secure_copy scp] for secure file transfers''
  
 
* '''ugradz'''
 
* '''ugradz'''
** ''Fedora 42'' Linux-based compute server.  
+
** ''Fedora 44'' Linux-based compute server.  
 
** 32 CPU cores, 48 GiB RAM.  
 
** 32 CPU cores, 48 GiB RAM.  
** ''Only available remotely via [[Connecting to CS Systems with SSH|SSH]] for logins or [https://en.wikipedia.org/wiki/Secure_copy scp] for secure file transfers.''
+
** ''Only available remotely via [[Connecting to CS Systems with SSH|SSH]] for logins or [https://en.wikipedia.org/wiki/Secure_copy scp] for secure file transfers''
 
** Only accessible from the Hopkins network or VPN; not accessible directly from the Internet.
 
** Only accessible from the Hopkins network or VPN; not accessible directly from the Internet.
  

Latest revision as of 19:51, 26 August 2026

The following is a list of Linux machines available for students, faculty, researchers, or staff. These Linux machines can be accessed remotely via ssh, scp or VNC.

If you're working remotely, although you are welcome to log into any of our Linux clients, it's recommended that you use ugradv.cs.jhu.edu and ugradx.cs.jhu.edu, as those can handle more concurrent use than any of the lab machines. All of the systems are identically configured, however, so anything you can do on one of them can be done on all of the others, too.

NOTES

  • All Ugrad Net systems end with .cs.jhu.edu as in, ugrad1.cs.jhu.edu
  • Accounts, mail, web, and home directories on the Ugrad Net machines are different than those on the Grad systems.
  • Ugrad Net linux clients have disk quotas on the Ugrad home directories.
  • If you are unable to reach one of the systems below, please first see if it is part of an outage by visiting our Notices page, otherwise, please contact support@cs.jhu.edu
  • These Linux clients are primarily used for educational (coursework) purposes. Therefore, since you are sharing these systems (CPU, memory, etc.) with other users, please make sure that you do not overload the processors on these systems. When your are completed running your processes, please make sure you stop those processes.


Available Ugrad Linux Systems

  • ugrad1 through ugrad12
    • Standard Fedora 44 Linux clients
    • Located in the CS Undergraduate Lab (Malone 122)
    • Each client has 8 cores (one 4-core i7 CPU with hyperthreading) and 16 GiB RAM.
    • Each system includes an NVIDIA-based GPU that may be used with CUDA and OpenCL (already installed) for coursework.
    • These systems are also available remotely via SSH for logins or scp for secure file transfers.
  • ugradv and ugradx
    • Fedora 44 Linux-based compute servers
    • 32 cores (one 16-core Xeon 6511P CPU with hyperthreading), 256 GiB RAM
    • Two NVIDIA L4 Tensor Core GPUs
    • Only available remotely via SSH for logins or scp for secure file transfers
  • ugradz
    • Fedora 44 Linux-based compute server.
    • 32 CPU cores, 48 GiB RAM.
    • Only available remotely via SSH for logins or scp for secure file transfers
    • Only accessible from the Hopkins network or VPN; not accessible directly from the Internet.


ssh key fingerprints for these machines can be found on the SSH Key Fingerprints for Grad and Ugrad Net Linux Computers page