XSEDE HPC Workshop: BIG DATA

December 4-5, 2018

XSEDE along with the Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop, to be held December 4-5, 2018.

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, December 4
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, December 5
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
  • Carnegie Mellon University
  • Stanford University
  • Tufts University
  • University of Iowa
  • Georgia Institute of Technology
  • University of California, Los Angeles
  • Iowa State University
  • West Virginia University
  • Old Dominion University
  • University of Notre Dame
  • Georgia State University
  • University of Arizona
  • National Center for Supercomputing Applications
  • Arizona State University
  • Purdue University
  • Texas Tech University
  • University of South Carolina
  • The University of Texas at El Paso
  • University of Houston-Clear Lake
  • George Mason University
  • University of Tennessee, Knoxville - National Institute for Computational Sciences
  • University of South Dakota
  • University of Houston
  • Lawrence Berkeley National Laboratory

Registration

Register via the XSEDE Portal

Questions

Please address any questions to Tom Maiden at tmaiden@psc.edu.


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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