Content Comparison

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

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• Professors

  • Please contact helpdesk to request access to the supercomputer or to request additional applications.

• Students

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

Useful Information and commands.

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• 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.)

• To upload files to the HPC please use Filezilla or a similar ftp client. The host is login.hpc.lab, username/password is your FLPoly username/password and port is 22

• 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

• If you request a Virtual Machine, you will be given the address in which you can connect either by ssh or remote desktop depending on the setup.

• To upload files please use Filezilla or a similar ftp client. The host is the name of the Virtual Machine you were given, username/password is your FLPoly username/password and port is 22

• 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

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• 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 2.6.0

• Apache Spark 1.3.1

HPC Components

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