Difference between revisions of "Linux Clients on the CS Grad/Research Net"
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− | 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 <code>ssh</code>, <code>scp</code>, or [[VNC]]. | + | 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 <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 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. | 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''''' | ||
+ | |||
+ | * [[:Category:Accounts|Accounts]], [[:Category:Mail|mail]], [[:Category:Webpages_and_Webservices|web]], and home directories on the Grad Net machines ''are different than'' those on the [[Linux Clients on the CS Undergrad Net|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|''Notices'' page]], otherwise, please contact [mailto:support@cs.jhu.edu 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/disk resources for others.''' Therefore, since you are sharing these systems (CPU, memory, disk space etc.) with other users, please make sure that you do not overload the processors on these systems nor store large files or large amounts of files on these systems. When your are completed running your processes, please make sure you stop those processes. | ||
+ | <br> | ||
+ | |||
+ | ==Available Grad/Research Systems== | ||
+ | |||
+ | * '''masters1''' through '''masters16''' | ||
+ | **''Fedora 38'' Linux clients | ||
+ | ** Malone Hall G-61. | ||
+ | ** Each client has 8 cores (one quad-core Xeon E3-1240 CPU with hyperthreading) and 16 GiB RAM. | ||
+ | ** Each system includes an NVIDIA-based GPU that may be used with CUDA and OpenCL (both 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.'' | ||
+ | |||
+ | * '''gradx''' | ||
+ | **''Fedora 38'' Linux-based compute server. | ||
+ | ** 24 cores (two 64-bit 6-core CPUs with hyperthreading), 288 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.'' | ||
+ | |||
+ | * '''gradz''' | ||
+ | **''Fedora 38'' Linux-based compute server. | ||
+ | ** 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.'' | ||
− | |||
− | |||
'''ssh key fingerprints''' for these machines can be found on the [[SSH Key Fingerprints for Grad and Ugrad Net Linux Computers]] page | '''ssh key fingerprints''' for these machines can be found on the [[SSH Key Fingerprints for Grad and Ugrad Net Linux Computers]] page | ||
[[Category:Linux Clients]] | [[Category:Linux Clients]] |
Latest revision as of 13:47, 15 March 2024
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/disk resources for others. Therefore, since you are sharing these systems (CPU, memory, disk space etc.) with other users, please make sure that you do not overload the processors on these systems nor store large files or large amounts of files 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 38 Linux clients
- Malone Hall G-61.
- Each client has 8 cores (one quad-core Xeon E3-1240 CPU with hyperthreading) and 16 GiB RAM.
- Each system includes an NVIDIA-based GPU that may be used with CUDA and OpenCL (both already installed) for coursework.
- These systems are also available remotely via ssh for logins or scp for secure file transfers.
- gradx
- gradz
ssh key fingerprints for these machines can be found on the SSH Key Fingerprints for Grad and Ugrad Net Linux Computers page