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Texas Advanced Computing Center (TACC)
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Powering Discoveries That Change The World
Powering Discoveries That Change The World

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This two-day workshop aims to instill in the participants fluency in the basic MPI constructs through a series of practical programming exercises. Participants will learn collectives, two-sided communication, communicators, derived datatypes and the basics of one-sided communication.

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This two-day workshop aims to instill in the participants fluency in the basic MPI constructs through a series of practical programming exercises. Participants will learn collectives, two-sided communication, communicators, derived datatypes and the basics of one-sided communication.

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The goal of this training workshop is to provide introduction and guidance on how to develop and run applications with Hadoop and Spark clusters. This course is being offered to in-person attendees on UT’s main campus in POB room 2.402 and to remote attendees via webcast. Due to support considerations, access to Wrangler for hands on exercises will be restricted to confirmed in-person attendees. 

There are four sessions in this training workshop. In the first session we will give an introduction on the MapReduce programming model and how to develop Java applications with the MapReduce library to use on a Hadoop cluster. In the second session we will demonstrate how to run Hadoop applications, using the Hadoop Streaming interface to utilize other programming languages and other Hadoop based libraries. In the third session we will give an introduction on developing Spark applications with Java. And in the fourth session of the workshop we will will demonstrate different ways to utilize Spark clusters including running Spark applications using spark-shell and other packages. 

This training will primarily use the Java programing language. The participants are advised to have prior knowledge and experiences with Java application development. During the training sessions, in-person participants will have opportunities to practice with prepared exercises and examples on Wrangler cluster. In-person attendees who would like to participate in class exercises should also have basic knowledge on working with Wrangler cluster or review our previous training materials on this topic before the workshop starts at https://portal.tacc.utexas.edu/training#/session/18. 

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This is an introductory course to give attendees an overview on the analytic software and environment support on Wrangler. In this course, we will cover software like R, Python, Hadoop and Spark. The goal of this course is to let users try out those support to decide if it is suitable for their research and prepare users to get started with Wrangler system. Advanced knowledge on those software packages and programming language is not required to attend this course. When considering whether or not to attend this course, please note that we plan on offering an in-depth course in April 2016 on Spark and Hadoop, and an in-depth course in May 2016 on Parallel R.  If you are interested in attending these upcoming courses, we strongly recommend attending Introduction to Data Analysis on Wrangler in order to be better prepared.

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Python is a commonly used language for scientific application development. To take full advantage of modern supercomputing resources or even modest HPC clusters with Python based applications it is crucial that the developer understand how to parallelize their code. This class will cover the Python module, mpi4py, that provides a Message Passing Interface (MPI) implementation and enables multi-node computation. In addition, the multiprocessing module, which provides general multi-process computation, will be covered. Both topics will be illustrated through hands-on examples.

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In this two-day class, our TACC Vis Staff will present information in person and via webcast on available visualization resources at TACC.  We will provide training on the use of remote visualization software to visualize data sets generated on TACC systems.  A review of the scientific visualization process and an overview of the visualization software available will also be provided.  
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