Tutorials

HPC@LSU invites you to attend our weekly training scheduled every Wednesdays, except university holidays. All training sessions are from 9:00AM to 11:00AM at 307 Frey Computing Services Center. The sessions will be available on WebEx for remote participants and will be recorded for later review.

The training sessions are subject to cancellation due to lack of registrations, so please register if you plan on attending. Registration closes in the afternoon on the day prior to the training.

Click on the tutorial topic to obtain more information and registration details. WebEx remote connect links to attend the training will be provided via email to all registered participants.

Note: The Slide and Support Materials links are placeholders until content is added after the tutorial.

Fall 2017 Training Schedule

1. October 25, 2017: Introduction to Python

TopicIntroduction to Python
DateOctober 25, 2017
Time9:00 AM - 11:00 AM
Place307 Frey
DescriptionPython is a high-level programming language, easy to learn yet extremely powerful. This training will provide an introduction to programming in Python. The subjects include basic Python syntax, Python classes used in object-oriented programming. Basic Python modules for scientific computing and plotting will also be introduced. During the training, simple Python programs will be provided for demonstration.

Prerequisites
  • Basic understanding of a programming language is assumed but not required.

Slides

Downloads

RegistrationClick Here

2. November 1, 2017: Parallel Computing with R

TopicParallel Computing with R
DateNovember 1, 2017
Time9:00 AM - 11:00 AM
Place307 Frey
DescriptionR is a widely used language in data analysis with rich features. Its performance, however, is limited by the fact that it is single-threaded. On the other hand, to take advantage of the processing power of HPC clusters, computer programs need to be able to run in parallel. In this tutorial, we will focus on how to use the "parallel" package in R and a few related packages to parallelize and enhance the performance of R programs.
Prerequisites
  • Prerequisites: Basic understanding of R is assumed but not required.

Slides

Downloads
RegistrationClick Here

3. November 8, 2017: Introduction to Deep Learning

TopicIntroduction to Deep Learning
DateNovember 8, 2017
Time9:00 AM - 11:00 AM
Place307 Frey
Description
RegistrationClick Here

2017 XSEDE Training Schedule


HPC Training Survey

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Virtual Images

For benefit of Training particpants who do not have ready access to a Linux machine, we have created a virtual image of CentOS 6.3. You can use this image in lieu of a LONI or LSU HPC account for some, but not all of our training courses. More details about this image and installation instructions are provided here

Past Tutorials

We offer many tutorial sessions for our HPC users both on campus and through the access grid to LSU partners. Topics covered vary from:

  • Introduction to Linux
  • More Linux
  • LaTeX
  • CVS
  • Subversion
  • MPI
  • OpenMP
  • HPC Environment.

To read descriptions or access PDF's of the slides from past tutorials Past Tutorials.