XSEDE HPC Workshop: BIG DATA

February 12-13, 2019

XSEDE along with the Pittsburgh Supercomputing Center is pleased to announce a two day Big Data workshop, to be held February 12-13, 2019.

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, February 12, 2019
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, February 13, 2019
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
  • Georgia Institute of Technology
  • Pennsylvania State University
  • George Mason University
  • Tufts University
  • Purdue University
  • University of Cincinnati
  • University of Houston-Clear Lake
  • Kansas State University
  • University of Delaware
  • Texas Tech University
  • University of Tennessee, Knoxville - National Institute for Computational Sciences
  • Howard University
  • Arizona State University
  • National Center for Supercomputing Applications
  • Lawrence Berkeley National Laboratory
  • Stony Brook University
  • University of Nevada, Reno

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.