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Table of Contents

Overview

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  • In addition to the HPC cluster Florida Poly has a Virtualization suite.
    Florida Poly is currently running VMware's vSphere 5.5 update 1
    Storage for the suite consists of 21 TB SAS and 2 TB of SSD
    Hypervisors and storage are connected via 10GB links

Requesting Access How do I package? Get the data in? Request additional applications?

  • Professors

    • Please contact helpdesk to request access to the supercomputer.

  • Students

    • A professor must request access to the HPC for the student. (see above)

Useful Information and commands. Separate VMC from HPC

  • Most users will use Putty to ssh into the HPC using their Poly email address and password. Usually going to Login.hpc.lab (unless a special environment is needed, in which case the user/s will be given the address after it is created.)

  • Submitting jobs to the LSF (Use bsub)

    1. Compile the hello_world example code provided by default

      1. /opt/ibm/platform_mpi/bin/mpicc -o hello_world.exe /opt/ibm/platform_mpi/help/hello_world.c

    2. Submit a job through LSF to test the message passing

      1. bsub -n 10 -R "span[ptile=1]" -o %J.out "/opt/ibm/platform_mpi/bin/mpirun -lsf -vapi /home/(Username)/hello_world.exe; wait"

    3. Check the output of the %J.out file to verify results

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  • For the EmberDB cluster please ssh into ember.hpc.lab using your FLPoly username and password.

    • Once connected use

      • Mysql –u (your username) -p –h ember-db

        • It will then ask for your FLPoly password.

Applications - add versions

  • Spack is a package manager for supercomputers, Linux, and macOS. It makes installing scientific software easy. With Spack, you can build a package with multiple versions, configurations, platforms, and compilers, and all of these builds can coexist on the same machine.

    • spack find

      • This lists all available packages.

    • spack load

      • This loads the package into your environment. For example spack load python@3.7.3 this loads Python 3.7.3 into your environment.

  • You can then use PIP to install necessary python modules

    • python3 -mpip install matplotlib for example

  • Apache Hadoop

  • Apache Spark

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