Difference between revisions of "Login to SciComp GPUs"
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<p>The following is how to use one of the ML scicomp machines that has 4 Titan RTX GPU cards installed. | <p>The following is how to use one of the ML scicomp machines that has 4 Titan RTX GPU cards installed. | ||
<br> | <br> | ||
| − | + | Steps: | |
| − | Setting up the software environment seems to be more easily done using conda. We need to first log into jlab common environment with ssh as <br> | + | 1. Setting up the software environment seems to be more easily done using conda. We need to first log into jlab common environment with ssh as <br> |
<br> | <br> | ||
ssh login.jlab.org | ssh login.jlab.org | ||
| + | <br> | ||
| + | You'll be prompted to enter your Jlab account password. <br> | ||
| + | <br> | ||
| + | 2. We need to log into ifarm with the following ssh command <br> | ||
| + | <br> | ||
| + | ssh ifarm190X | ||
| + | <br> | ||
| + | In 190X, X can be either 1 or 2. | ||
| + | <br><br> | ||
| + | 3. | ||
Revision as of 01:59, 26 August 2020
The following is how to use one of the ML scicomp machines that has 4 Titan RTX GPU cards installed.
Steps:
1. Setting up the software environment seems to be more easily done using conda. We need to first log into jlab common environment with ssh as
ssh login.jlab.org
You'll be prompted to enter your Jlab account password.
2. We need to log into ifarm with the following ssh command
ssh ifarm190X
In 190X, X can be either 1 or 2.
3.