XSEDE HPC Monthly Workshop - April 7, 2015 - Big Data

04/07/2015 11:00 - 04/07/2015 17:00 EDT
in person (University of Michigan)
Registration
Registration open date
03/10/2015 11:10 EDT
Registration close date
04/03/2015 17:00 EDT
Class size restriction
45 registrants

(0 spots left)

Waitlist

4 registrants

Contact Information
Contact
Tom Maiden
Contact phone
412-268-4960
Contact email
tmaiden@psc.edu
Location
Name
University of Michigan
Address
Ehrichler Room
3rd floor, Room 3100 of North Quad
Ann Arbor, MI 48109
Phone
412-268-4960
URL
https://www.si.umich.edu/system/files/content/downloads/finding_umsi_in_nq.pdf

XSEDE HPC Workshop: BIG DATA
April 7, 2015

XSEDE along with the Pittsburgh Supercomputing Center are pleased to announce a one day Big Data workshop, to be held April 7, 2015.

This workshop will focus on topics such as Hadoop and Spark.

Agenda

Tuesday, April 7
All times given are Eastern

11:00 Welcome
11:25 Intro To Big Data
11:45 Big Data Applications and Platforms
12:15 Hadoop
1:00 Lunch Break
2:00 Hadoop (cont.)
2:30 Exercises
3:15 Spark
4:15 Exercises
5:00 Adjourn

Logistics

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

This workshop is NOT available via a webcast.

You may attend at any of the following sites.

  • Pittsburgh Supercomputing Center
  • University of Utah
  • Stanford University
  • Ohio Supercomputer Center
  • University of Houston, Clear-Lake
  • Georgia State University
  • Harvey Mudd College
  • Purdue University
  • University of Michigan
  • West Virginia State University
  • University of Houston
  • NASA Langley Research Center
  • Youngstown State University
  • Idaho National Laboratory
  • University of Iowa

Register via the XSEDE Portal:

https://portal.xsede.org/course-calendar

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.

This session has ended.
Posted: 03/10/2015 14:31 UTC