GPU[15-19]

Predrag Punosevac predragp at andrew.cmu.edu
Tue Jan 28 00:02:57 EST 2020


Dear Autonians,

I just provisioned five new GPU computing nodes bought by Dr. Jeff
Schneider before Christmas. Each server had 40 CPU threads, 192 GB of
RAM and four RTX 2080 Ti cards. OS is installed on 256 GB SSD.

For the first time our computing nodes are running Red Hat branch 8 (8.1
version to be precise soon to be upgraded to 8.2). That is the reason it
took me so long to provision them as I wanted to make sure drivers and
packages are available.

Nvidia drivers seems to be in working condition according to my tests. I
did install CUDA 10.2. I didn't install cuDNN libraries as I see only
cuDNN RPMs avaiable for Red Hat branch 7. However, I do see
cudnn-10.2-linux-x64-v7.6.5.32.tgz which I assume is a source code so
you are welcome to try to compile this on your own. Note that you have
to have NVidia devel account to access cuDNN libraries.

You will find miniconda3 in its usual place. /opt. Note that RedHat 8.1
is build using gcc-8.3.1. System python is now 3.6 but I suggest you use
the 3.7.4 from miniconda. Python 2.7 is no longer available. I am
pushing right now MATLAB. Your scratch directories will be created
tomorrow after I get some sleep. R is there as well as Git 2.18.2. Yes I
did test network login both legacy as well autofs accounts. Note that
/opt/rh for now is non-existing as SCL are still not available. Namely,
default software is rather new so there is no need yet for newer
versions.

Please stay away from these machines if you are not willing to help
debugging remaining  issues.

Best,
Predrag


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