Differences

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--- techstaff:slurm [2018/11/21 11:30] – kauffman
+++ techstaff:slurm [2019/10/08 17:24] – kauffman
@@ Line 1: / Line 1: @@
 ===== Notice =====
+**2019-10-08**: New computer nodes added under the partiton ''%%genfast%%''
 **2017-08-31**: Configuration change to allow allocation on CPUs and RAM. Please read the 'Default Quota' section under https://howto.cs.uchicago.edu/techstaff:slurm#usage
@@ Line 246: / Line 247: @@
 ====== Using the GPU ======
-===== $CUDA_VISIBLE_DEVICES =====
-Do not set this variable. It will be set for you by SLURM.
-The variable name is actually misleading; since it does NOT mean the amount of devices, but rather the physical device number assigned by the kernel (e.g. /dev/nvidia2).
-For example: If you requested multiple gpu's from SLURM (--gres=gpu:2), the CUDA_VISIBLE_DEVICES variable should contain two numbers(0-3 in this case) separated by a comma (e.g. 1,3).
 ===== GRES Multiple GPU's on one system =====
@@ Line 340: / Line 333: @@
-===== Paths =====
+===== Environment Variables =====
-You will need to add the following to your ''%%$PATH%%'' and ''%%$LD_LIBRARY_PATH%%''.
+==== CUDA_HOME, LD_LIBRARY_PATH ====
+Please make sure you specify $CUDA_HOME and if you want to take advantage of CUDNN libraries you will need to append /usr/local/cuda-x.x/lib64 to the $LD_LIBRARY_PATH environment variable.
+  cuda_version=9.2
+  export CUDA_HOME=/usr/local/cuda-${cuda_version}
+  export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_HOME/lib64
+Currently we support the same versions of CUDA that the latest version of CUDNN supports. This is not written in stone and we can accommodate most other versions if required; just let techstaff know what your needs are.
+==== PATH ====
+You may also need to add the following to your ''%%$PATH%%''
   export PATH=$PATH:/usr/local/cuda/bin
-  export LD_LIBRARY_PATH=$LD_LIBRARY_PATH=/usr/local/cuda/lib
+==== CUDA_VISIBLE_DEVICES ====
+Do not set this variable. It will be set for you by SLURM.
+The variable name is actually misleading; since it does NOT mean the amount of devices, but rather the physical device number assigned by the kernel (e.g. /dev/nvidia2).
+For example: If you requested multiple gpu's from SLURM (--gres=gpu:2), the CUDA_VISIBLE_DEVICES variable should contain two numbers(0-3 in this case) separated by a comma (e.g. 1,3).
@@ Line 402: / Line 413: @@
 STDERR should be blank.
 ====== More ======
-If you feel this documentation is lacking in some way please let techstaff know. Email [[techstaff@cs.uchicago.edu]], call (773-702-1031), or stop by our office (Ryerson 154).
+If you feel this documentation is lacking in some way please let techstaff know. Email [[techstaff@cs.uchicago.edu]], call (773-702-1031), or stop by our office (Crerar 357).