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.

Spring 2017 Training Schedule

1. March 28, 2017: Running Jobs on HPC Without the Command Line using the Agave Platform

TopicRunning Jobs on HPC Without the Command Line using the Agave Platform
DateMarch 28, 2017
Time9:00 AM - 11:00 AM
Place307 Frey
DescriptionDespite the growing importance of high performance computing in every branch of science, many scientists are not computationally savvy and are intimidated by the Linux command prompt. Science Gateways (sometimes called Web Portals) exist, in part to make life easier for them by providing a way to run and monitor jobs on an HPC resource using a web page instead of having to understand bash, vi, etc.
The Agave Platform was developed to make it easy for scientists to take their existing code and "webify" it, or enable it for use as a Gateway. In this tutorial, we show you how to convert your existing code into a Science Gateway and make it available to selected users.
Why turn your code into a gateway? Gateways are growing. They accounted for 77% of all active cycles in the XSEDE network in the fourth quarter of 2016. In addition, the NSF has recently committed $35 million to found a Science Gateways Institute (http://sciencegateways.org/) in order to accelerate this type of research.
Prerequisites
  • Some experience running jobs on a super computer will be useful.
  • A LONI/LSU HPC account would be helpful

RegistrationClick Here

2. March 29, 2017: Intermediate Python Programming

TopicIntermediate Python Programming
DateMarch 29, 2017
Time9:00 AM - 11:00 AM
Place307 Frey
DescriptionPython is a great general-purpose, powerful programming language and has also become a powerful environment for scientific and engineering computations. This tutorial will focus on popular Python modules numpy, matplotlib and scipy to get users familiar with building quick Python real world computing solutions. This section can also serve as a quick crash training on Python for the upcoming tutorial on Machine Learning.

Prerequisites
  • No prior Python programming knowledge is assumed but some experience in a programming language will be useful.
  • A desktop/laptop with a Python programming environment installed (such as Anaconda Python); OR,
  • LONI/LSU HPC account, SSH client such as Putty to access Python installed on HPC/LONI clusters.

RegistrationClick Here

3. April 5, 2017: Machine Learning in HPC Environments

TopicMachine Learning in HPC Environments
DateApril 5, 2017
Time9:00 AM - 11:00 AM
Place307 Frey
DescriptionMachine learning, which learns from and generates predictions on data, has become one of the most important technology impacting every application domain including e-commerce, medical informatics, science and engineering. As data get massive and more complex, a deep learning framework emerges as a powerful tool to learn robust and complex features directly from data without domain-specific knowledge.
Deep neural networks have shown great success in various fields such as computer vision, natural language processing, and speech recognition. Existing tools such as Keras, Tensorflow and Theanos are being developed to build and evaluate deep learning models. In this tutorial we will demonstrate how to develop a deep learning model to achieve near state of the art performance on the MNIST handwritten digit recognition task with Kerason LONI QB2 cluster. Fundamental machine learning concepts will also be covered during the training.

The hands-on examples will be demonstrated on the LONI QB2 cluster

Prerequisites
  • Some experience of python is assumed but not required

RegistrationClick Here

2017 XSEDE Training Schedule


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.