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Linux Self Guided 

We run RHEL/CentOS 6 Linux on our high-performance systems.

If you have never used Linux before or have had very limited use, read this useful guide:

http://www.ee.surrey.ac.uk/Teaching/Unix/

 

If you have learned Linux in the past but want a quick reference to the syntax of commands, then read this:

Bash Cheat Sheet

 

 

 

Intel® Modern Code Training

Intel brought a workshop to campus in 2014 and the material is covered here.  If you want to do any work on the Intel® Xeon Phi™ Coprocessors we have 40 of them installed in ElGato.  You can obtain "standard" queue access and can request access to the nodes with them installed. 

Created by Colfax International and Intel, and based on the book, Parallel Programming and Optimization with Intel® Xeon Phi™ Coprocessors, this short video series provides an overview of practical parallel programming and optimization with a focus on using the Intel® Many Integrated Core Architecture (Intel® MIC Architecture).

Length: 5 hours

Parallel Programming and Optimization with Intel Xeon Phi Coprocessors

https://software.intel.com/en-us/modern-code/training/short-video-series?utm_source=HPCwire&utm_medium=newsletter_2&utm_content=HPC_Developers&utm_campaign=DRD_16_80

 

Intel® Software Tools

Intel offers the Cluster Studio XE.  On Ocelote we have installed modules (module avail intel ) as:

  • intel-cluster-checker/2.2.2

  • intel-cluster-runtime/ia32/3.8

  • intel-cluster-runtime/intel64/3.8

  • intel-cluster-runtime/mic/3.8

We have installed the Intel high performance libraries (module avail intel ):

  • Intel® Threading Building Blocks
  • Intel® Integrated Performance Primitives
  • Intel® Math Kernel Library
  • Intel® Data Analytics Acceleration Library

The University is licensed and has access to this toolset separate from HPC.   Portions of it are FREE for use in teaching/instruction and to students.   

https://software.intel.com/en-us/qualify-for-free-software

https://software.intel.com/en-us/server-developer

 

 

 

 

 

Singularity

Overview

Singularity containers let users run applications in a Linux environment of their choosing.  This is different from Docker which is not appropriate for HPC due to security concerns.

For an overview and more detailed information refer to this location:
http://singularity.lbl.gov

Here are some of the use cases we support using Singularity:

  • You already use Docker and want to run your jobs on HPC
  • You want to preserve your environment so that a system change will not affect your work
  • You need newer or different libraries than are offered on HPC systems
  • Someone else developed the workflow using a different version of linux
  • You prefer to use something other than Red Hat / CentOS, like Ubuntu 

Newer code example - Tensorflow

  1. Create the container

    singularity create -s 1500 centosTFlow.img
  2. Create the definition file

 

 

 

 

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