Difference between revisions of "Teach"

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{{Infobox Computer
 
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|name=Teach Cluster  
 
|name=Teach Cluster  
 
|installed=(orig Feb 2013), Oct 2018
 
|installed=(orig Feb 2013), Oct 2018

Revision as of 14:15, 30 October 2018

{{Infobox Computer

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Ibm idataplex dx360 m4.jpg
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|name=Teach Cluster |installed=(orig Feb 2013), Oct 2018 |operatingsystem= Linux (Centos 7.4) |loginnode= teach01 (from teach.scinet) |nnodes=42 |rampernode=64 Gb |corespernode=16 |interconnect=Infiniband (QDR) |vendorcompilers=icc/gcc |queuetype=slurm }}

Specifications

The Teach Cluster consists of 42 repurposed x86_64 nodes each with two octal core Intel Xeon (Sandybridge) E5-2650 2.0GHz CPUs with 64GB of RAM per node. The nodes are interconnected with 2.6:1 blocking QDR Infiniband for MPI communications and disk I/O to the SciNet Niagara filesystems. In total this cluster contains 672 x86_64 cores.

Login/Devel Node

Login via ssh with your scinet account to teach.scinet.utoronto.ca, which will bring directly to teach01 the gateway/devel node for this cluster. From teach01 you can compile, do short tests, and submit your jobs to the queue.

Software Modules

 
module avail

Submit a Job

Teach uses SLURM as its job scheduler. More-advanced details of how to interact with the scheduler can be found on the Slurm page.

You submit jobs from a login node by passing a script to the sbatch command:

teach01:~scratch$ sbatch jobscript.sh

This puts the job in the queue. It will run on the compute nodes in due course.

In most cases, you will want to submit from your $SCRATCH directory, so that the output of your compute job can be written out (as mentioned above, $HOME is read-only on the compute nodes).