Differences

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--- techstaff:slurm [2018/05/04 12:41] – kauffman
+++ techstaff:slurm [2018/05/08 12:06] – kauffman
@@ Line 98: / Line 98: @@
 | **debug** | The partition your job will be submitted to if none is specified. The purpose of this partition is to make sure your code is running as it should before submitting a long running job to the general queue. |
 | **general** | All jobs that have been thoroughly tested can be submitted here. This partition will have access to more nodes and will process most of the jobs. If you need to use the ''%%--exclusive%%'' flag it should be done here.|
-| **gpu** | Contains servers with graphics cards. As of May 2016 there is only one node containing a Tesla M2090. You will be forced to use this server exclusively for now. Please keep your time in interactive mode to a minimum.|
+| **pascal** | 2018-05-04: 1x Nvidia GTX1080. You will be forced to use this server exclusively for now. Please keep your time in interactive mode to a minimum.|
+| **titan** | 2018-05-04: 4x Nvidia GTX1080Ti. This partition is shared and you MUST use the ''%%--gres%%'' to specify the resources you wish to use. It is also encouraged to specify cpu and memory.|
 ====== Job Submission ======
@@ Line 318: / Line 319: @@
 GRES: Don't depend on this being accurate, however it will definitely give you a clue as to how many generic resources are in a partition.
+==== Checking how many Generic RESources are being consumed ====
+Simple use the ''%%-O%%'' option for ''%%squeue%%'' and you can see how many generic resources any particular job is consuming.
+<code>
+$ squeue -O username,nodelist,gres
+USER                NODELIST            GRES
+someusername        gpu3                gpu:1
+otherusername       gpu3                gpu:3
+...
+</code>
 ===== Paths =====
-You will need to add the following to your $PATH and $LD_LIBRARY_PATH.
+You will need to add the following to your ''%%$PATH%%'' and ''%%$LD_LIBRARY_PATH%%''.
   export PATH=$PATH:/usr/local/cuda/bin