Difference between revisions of "Rouge"

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= Rouge Cluster =
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= Specifications=
  
The Rouge cluster was donated to the University of Toronto by AMD as part of their COVID-19 program.
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The Rouge cluster was donated to the University of Toronto by AMD as part of their COVID-19 support program.  The cluster consists of 20 x86_64 nodes each with a single AMD EPYC 7642 48-Core CPU running at 2.3GHz with 512GB of RAM and 8 Radeon Instinct MI50 GPUs per node.
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The nodes are interconnected with 2xHDR100 Infiniband for MPI communications and disk I/O to the SciNet Niagara filesystems.  In total this cluster contains 960 CPU cores and 160 GPUs.  
  
 
Questions about its use or problems should be sent to '''support@scinet.utoronto.ca'''.
 
Questions about its use or problems should be sent to '''support@scinet.utoronto.ca'''.
  
== Specifications==
 
  
The cluster consists of 20 x86_64 nodes each with a single AMD EPYC 7642 48-Core CPU running at 2.3GHz with 512GB of RAM and 8 Radeon Instinct MI50 GPUs per node.
+
= Getting started on Rouge =
+
 
The nodes are interconnected with 2xHDR100 Infiniband for MPI communications and disk I/O to the SciNet Niagara filesystems. In total this cluster contains 960 CPU cores and 160 GPUs.  
+
Rouge can be accessed directly.
 +
<pre>
 +
ssh -Y MYCCUSERNAME@rouge.scinet.utoronto.ca
 +
</pre>
 +
Rouge login node '''rouge-login01''' can also be accessed via Niagara cluster.
 +
<pre>
 +
ssh -Y MYCCUSERNAME@niagara.scinet.utoronto.ca
 +
ssh -Y rouge-login01
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</pre>
 +
 
 +
== Storage ==
 +
 
 +
The filesystem for Rouge is currently shared with Niagara cluster. See [https://docs.scinet.utoronto.ca/index.php/Niagara_Quickstart#Your_various_directories Niagara Storage] for more details.
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 +
= Loading software modules =
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 +
You have two options for running code on : use existing software, or compile your own.  This section focuses on the former.
 +
 
 +
Other than essentials, all installed software is made available [[Using_modules | using module commands]]. These modules set environment variables (PATH, etc.), allowing multiple, conflicting versions of a given package to be available.  A detailed explanation of the module system can be [[Using_modules | found on the modules page]].
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 +
Common module subcommands are:
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* <code>module load <module-name></code>: load the default version of a particular software.
 +
* <code>module load <module-name>/<module-version></code>: load a specific version of a particular software.
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* <code>module purge</code>: unload all currently loaded modules.
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* <code>module spider</code> (or <code>module spider <module-name></code>): list available software packages.
 +
* <code>module avail</code>: list loadable software packages.
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* <code>module list</code>: list loaded modules.
 +
 
 +
Along with modifying common environment variables, such as PATH, and LD_LIBRARY_PATH, these modules also create a SCINET_MODULENAME_ROOT environment variable, which can be used to access commonly needed software directories, such as /include and /lib.
 +
 
 +
There are handy abbreviations for the module commands. <code>ml</code> is the same as <code>module list</code>, and <code>ml <module-name></code> is the same as <code>module load <module-name></code>.
 +
 
 +
 
 +
= Available compilers and interpreters =
 +
 
 +
* The <tt>Rocm</tt> module has to be loaded first for GPU software.
 +
* To compile mpi code, you must additionally load an <tt>openmpi</tt> module.
 +
 
 +
=== ROCm ===
  
== Login/Devel Node ==
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= Software =
  
Login to '''rouge-login01'''
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== Singularity Containers ==

Revision as of 15:29, 16 April 2021

Rouge
Amd1.jpeg
Installed March 2021
Operating System Linux (Centos 7.6)
Number of Nodes 20
Interconnect Infiniband (2xEDR)
Ram/Node 512 GB
Cores/Node 48
GPUs/Node 8 MI50-32GB
Login/Devel Node rouge-login01
Vendor Compilers rocm/gcc
Queue Submission slurm

Specifications

The Rouge cluster was donated to the University of Toronto by AMD as part of their COVID-19 support program. The cluster consists of 20 x86_64 nodes each with a single AMD EPYC 7642 48-Core CPU running at 2.3GHz with 512GB of RAM and 8 Radeon Instinct MI50 GPUs per node.

The nodes are interconnected with 2xHDR100 Infiniband for MPI communications and disk I/O to the SciNet Niagara filesystems. In total this cluster contains 960 CPU cores and 160 GPUs.

Questions about its use or problems should be sent to support@scinet.utoronto.ca.


Getting started on Rouge

Rouge can be accessed directly.

ssh -Y MYCCUSERNAME@rouge.scinet.utoronto.ca

Rouge login node rouge-login01 can also be accessed via Niagara cluster.

ssh -Y MYCCUSERNAME@niagara.scinet.utoronto.ca
ssh -Y rouge-login01

Storage

The filesystem for Rouge is currently shared with Niagara cluster. See Niagara Storage for more details.

Loading software modules

You have two options for running code on : use existing software, or compile your own. This section focuses on the former.

Other than essentials, all installed software is made available using module commands. These modules set environment variables (PATH, etc.), allowing multiple, conflicting versions of a given package to be available. A detailed explanation of the module system can be found on the modules page.

Common module subcommands are:

  • module load <module-name>: load the default version of a particular software.
  • module load <module-name>/<module-version>: load a specific version of a particular software.
  • module purge: unload all currently loaded modules.
  • module spider (or module spider <module-name>): list available software packages.
  • module avail: list loadable software packages.
  • module list: list loaded modules.

Along with modifying common environment variables, such as PATH, and LD_LIBRARY_PATH, these modules also create a SCINET_MODULENAME_ROOT environment variable, which can be used to access commonly needed software directories, such as /include and /lib.

There are handy abbreviations for the module commands. ml is the same as module list, and ml <module-name> is the same as module load <module-name>.


Available compilers and interpreters

  • The Rocm module has to be loaded first for GPU software.
  • To compile mpi code, you must additionally load an openmpi module.

ROCm

Software

Singularity Containers