XSEDE HPC Workshop: BIG DATA

September 12-13, 2017

XSEDE along with the Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop, to be held September 12-13, 2017.

This workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform.

Agenda

Tuesday, September 12
All times given are Eastern
11:00 Welcome
11:25 Intro to Big Data
12:00 Hadoop
12:30 Intro to Spark
1:00 Lunch break
2:00 Spark
3:30 Spark Exercises
4:30 Spark
5:00

Adjourn

Wednesday, September 13
All times given are Eastern
11:00

Machine Learning: Recommender System with Spark

1:00 Lunch break
2:00 Deep Learning with Tensorflow
4:30 Bridges: A Big Data Platform
5:00 Adjourn

Logistics

Due to demand, this workshop will be telecast to several satellite sites.

You may attend at any of the following sites.

  • Pittsburgh Supercomputing Center
  • Kennesaw State University
  • Harvey Mudd College
  • George Mason University
  • Tufts University
  • Stony Brook University
  • Oklahoma State University
  • Georgia State University
  • University of Utah
  • University of Houston, Clear-Lake
  • Purdue University
  • University of Notre Dame
  • Pennsylvania State University
  • North Carolina A&T State University
  • Old Dominion University
  • Howard University
  • University of Nebraska-Lincoln
  • University of Colorado Boulder
  • University of Texas at El Paso
  • University of Arizona
  • Iowa State University
  • University of Tennessee, Knoxville - National Institute for Computational Sciences
  • University of California, Los Angeles

Registration

Register via the XSEDE Portal

Questions

Please address any questions to Tom Maiden at This email address is being protected from spambots. You need JavaScript enabled to view it..


XSEDE, the Extreme Science and Engineering Discovery Environment, is the most advanced, powerful, and robust collection of integrated digital resources and services in the world. It is a single virtual system that scientists and researchers can use to interactively share computing resources, data, and expertise. XSEDE integrates the resources and services, makes them easier to use, and helps more people use them.

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