Difference between revisions of "Linux Clients on the CS Grad/Research Net"
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**  Each client has 8 cores (one quad-core Xeon E3-1240 CPU with hyperthreading) and 16 GB RAM.  
 
**  Each client has 8 cores (one quad-core Xeon E3-1240 CPU with hyperthreading) and 16 GB RAM.  
 
** Each system includes an NVIDIA-based GPU that's used with CUDA (installed) for coursework.  
 
** Each system includes an NVIDIA-based GPU that's used with CUDA (installed) for coursework.  
−
** ''These systems are also available remotely via '''ssh''' or '''scp'''.''
+
** ''These systems are also available remotely via [https://support.cs.jhu.edu/wiki/SSH '''ssh'''] or '''scp'''.''
  
 
* '''gradx'''
 
* '''gradx'''
 
**''Fedora 31'' Linux-based compute server.  
 
**''Fedora 31'' Linux-based compute server.  
 
** 24 cores (two 64-bit 6-core CPUs with hyperthreading), 32GB RAM
 
** 24 cores (two 64-bit 6-core CPUs with hyperthreading), 32GB RAM
−
**''only available remotely via '''ssh''' or '''scp'''.''
+
**''only available remotely via [https://support.cs.jhu.edu/wiki/SSH '''ssh'''] or '''scp'''.''
  
 
* '''gradz'''
 
* '''gradz'''
 
**''Fedora 31'' Linux-based compute server.
 
**''Fedora 31'' Linux-based compute server.
 
**  8 core, 32GB RAM
 
**  8 core, 32GB RAM
−
**''only available remotely via '''ssh''' or '''scp'''.''
+
**''only available remotely via [https://support.cs.jhu.edu/wiki/SSH '''ssh'''] or '''scp'''.''
  
  

Revision as of 12:17, 7 April 2020

The following is a list of Linux machines available for grad students, faculty, researchers, or staff on the Grad/Research Net. 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 gradx.cs.jhu.edu, 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.

NOTES

  • All Grad/Research Net systems end with .cs.jhu.edu as in, masters1.cs.jhu.edu
  • Accounts, mail, web, and home directories on the Grad Net machines are different than those on the Ugrad systems.
  • 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
  • You are sharing these systems (CPU, memory, etc.) with other users, so 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.
  • These Linux clients are primarily used for educational (coursework) purposes and for light research that does not impair CPU/memory resources for others. 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 Grad/Research Systems

  • masters1 through masters16
    • Fedora 31 Linux clients
    • Malone Hall G-61.
    • Each client has 8 cores (one quad-core Xeon E3-1240 CPU with hyperthreading) and 16 GB RAM.
    • Each system includes an NVIDIA-based GPU that's used with CUDA (installed) for coursework.
    • These systems are also available remotely via ssh or scp.
  • gradx
    • Fedora 31 Linux-based compute server.
    • 24 cores (two 64-bit 6-core CPUs with hyperthreading), 32GB RAM
    • only available remotely via ssh or scp.
  • gradz
    • Fedora 31 Linux-based compute server.
    • 8 core, 32GB RAM
    • only available remotely via ssh or scp.


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