Page Comparison

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1. Dimitrios Vavylonis, Department of Physics: 1 20-core compute node

   • Annual allocation: 175,200 SUs

2. Wonpil Im, Department of Biological Sciences:

   • 25 24-core compute node with 2 GTX 1080 cards per node (5,256,000 SUs)

   • 12 36-core compute nodes with 4 RTX 2080 cards per node (3,784,320 SUs)

   • expected April 2022: 3 32-core compute nodes with 8 A40 GPUs per node (840960 SUs)

   • Total Annual allocation: 9,881,280 SUs

3. Anand Jagota, Department of Chemical Engineering: 1 24-core compute node

   • Annual allocation: 210,240 SUs

4. Brian Chen, Department of Computer Science and Engineering: 

   • 1 24-core compute node (210,240 SUs)
   • 2 52-core compute nodes (911,040 SUs)

   • Annual allocation: 1,1212,280 SUs

5. Edmund Webb III & Alparslan Oztekin, Department of Mechanical Engineering and Mechanics: 6 24-core compute node

   • Annual allocation: 1,261,440 SUs

6. Jeetain Mittal & Srinivas Rangarajan, Department of Chemical Engineering: 13 24-core Broadwell based compute node and 16 GTX 1080 cards

   • Annual allocation: 2,733,120 SUs

7. Seth Richards-Shubik, Department of Economics

   • Annual allocation: 140,160 SUs

8. Ganesh Balasubramanian, Department of Mechanical Engineering and Mechanics: 7 36-core Skylake based compute node

   • Annual allocation: 2,207,520 SUs

9. Department of Industrial and Systems Engineering: 2 36-core Skylake based compute node

   • Annual allocation: 630,720 SUs

10. Lisa Fredin, Department of Chemistry:

    • 2 36-core Skylake based compute node

    • 4 36-core Cascade Lake based compute node

    • Annual allocation: 1,892,160 SUs

11. Paolo Bocchini, Department of Civil and Environmental Engineering: 1 24-core Broadwell based compute node

    • Annual Allocation: 210,240 SUs

12. Hannah Dailey, Department of Mechanical Engineering and Mechanics: 1 36-core Skylake based compute node

    • Annual allocation: 315,360 SUs

13. College of Health: 2 36-core Cascade Lake based compute node
    • Annual allocation: 630,720 SUs
14. Keith Moored, Department of Mechanical Engineering and Mechanics: 1 48-core Cascade Lake Refresh compute node with 5 A100 GPUs
    • Annual allocation: 420,480 SUs

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ssh username@sol.cc.lehigh.edu

If you are off campus, then there are two options

1. Start a vpn session and then login to Sol using the ssh command above
2. Use ssh gateway as a jump host first and then login to Sol using the above ssh command on the ssh gateway prompt. If your ssh is from the latest version of openssh, then you can use the following command

ssh -J username@ssh.cc.lehigh.edu username@sol.cc.lehigh.edu

If you are using the ssh gateway, you might want to add the following to your ${HOME}/.ssh/config file on your local system 

  Host *ssh
  HostName ssh.cc.lehigh.edu
  Port 22
# This is an example - replace alp514 with your Lehigh ID
  User alp514

  Host *sol
  HostName sol.cc.lehigh.edu
  Port 22
  User <LehighID>
# Use this if the next command doesn't work ProxyCommand ssh ssh nc %h %p
  ProxyCommand ssh -W %h:%p ssh

to simplify the ssh and scp (for file transfer) command. You will be prompted for your password twice - first for ssh and then for sol

ssh sol
scp sol:<path to source directory>/filename <path to destination directory>/filename 

If you are using public key authentication, please add a passphrase to your key. Passwordless authentication is a security risk. Use ssh-agent and ssh-add to manage your public keys. See https://kb.iu.edu/d/aeww for details.

Windows users will need to install a SSH Client to access Sol. Lehigh Research Computing recommends MobaXterm since it can be configured to use the SSH Gateway as jump host. DUO Authentication is activated for faculty and staff on the SSH Gateway. If a window pops up for password enter your Lehigh password. The second pop up is for DUO, it only says DUO Login. Enter 1 for Push to DUO or 2 for call to registered phone.