Difference between revisions of "GPUs In The CS Linux Clients"
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| − | The CS Lab [[:Category:Linux Clients|Linux clients]] contain '''Nvidia GPUs''' with support for [https://support.cs.jhu.edu/wiki/CUDA_On_The_CS_Linux_Clients '''CUDA''']. | + | The CS Lab [[:Category:Linux Clients|Linux clients]] contain '''Nvidia GPUs''' with support for [https://support.cs.jhu.edu/wiki/CUDA_On_The_CS_Linux_Clients '''CUDA'''] and OpenCL. |
These systems include: | These systems include: | ||
Revision as of 13:28, 19 September 2022
The CS Lab Linux clients contain Nvidia GPUs with support for CUDA and OpenCL.
These systems include:
- masters1 through masters16 (Masters' Lab)
- ugrad1 through ugrad24 (Ugrad Labs)
However, our "compute server" Linux clients, gradx, gradz, ugradx, and ugradz (that are only remotely available through ssh or scp) do not have CUDA-capable GPUs in them. You'll notice that CUDA software is available on those machines merely because we share the same configuration amongst all our Linux client systems, whether they have the same hardware or not.