For questions, please open a UAService ticket and assign to the Tools Team.
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CentOS 6 and CentOS 7
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Elgato is also built on CentOS, and is kept consistent with Ocelote. The big difference is that Elgato does not have a comprehensive suite of software, by design.
Installed software
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Available SoftwareSoftware packages are available as modules and are accessible from the compute nodes of any of our three clusters. They are not available on the login nodes so you will need to be in an interactive session to access them. A list of installed software can be seen by clicking the link below, but may not be as current as using the |
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Modules
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(more information under Module Commands).
Module Commands
To see, access, and get information on individual software packages available on the system, use the module commands detailed below. If you have trouble accessing the module command, see our FAQ section.
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CompilersPuma, Ocelote, and El Gato all run CentOS7 and have the following compilers available:
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Common Software Packages
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Installing additional softwareTo submit a request to have software installed on the |
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UArizona HPC systems, use |
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time frame for how long it takes to install software |
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, there are many variables that determine this. If you haven't heard back in a week, it is reasonable for you to follow up |
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with a support ticket You |
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may also install software packages into |
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the space that is allocated to you with your HPC account. However, you cannot install software that requires root permission |
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or use a method like "yum install" that accesses system paths. |
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For information on |
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Using Perl
Follow this link for more information on using Perl.
Using Python
Follow this link for more information on using Python.
Using R
Follow this link for more information on using R.
Using Matlab
Follow this link for more information on using Matlab
Using Anaconda
Anaconda is available as a module and comes with Glueviz, JupyterLab, Jupyter Notebook, Spyder, Orange and RStudio. It also supports the conda commands for building a personal environment.
More details are at this page.
Using Spark
Apache Spark is a fast and general-purpose cluster computing system. However it has not been installed for support in a multi-node environment as yet. That functionality is planned for the future. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.
There are some simple tests here.
Compilers
El Gato
ElGato is now running CentOS 7. The compilers available are:Intel/2019.3: "module load intel"
- GCC 5.4.0: "module load gnu"
- GCC 8.3.0: "module load gnu8"
- LLVM 5.0.1" "module load llvm5"
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- There are standard Red Hat versions of mpich, mvapich, mvapich2 and openmpi. Some extra options are invoked when you load one - use module avail to see the specific name.
- The same four MPI are available with more detailed options for gcc, intel and open64. Again use module avail for the appropriate choices.
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For AVX2 support, compile with the -xHOST option. Note that -xHOST alone does not enable aggressive optimization, so compilation with -O3 is also suggested. The -fast flag invokes -xHOST, but should be avoided since it also turns on interprocedural optimization (-ipo), which may cause problems in some instances.
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installing software locally, see our online guide for an example. |