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Small and Big Data Workshop Series - Keep it Simple But Not Simpler: Batch and Embarrassingly Parallel Processing (PART II)


Speaker Info:

Belaid Moa
WestGrid Support Team
University of Victoria


This free workshop series will cover a wide spectrum of techniques and tools to help researchers deal with small and big data challenges. Our intent is for our researchers to learn different computational paradigms and topics by participating in hands-on tutorials. To make these sessions more rewarding, we encourage attendees to bring their own data and any existing code with them so that they can work on them as part of the practical exercises.

You do not need to be a current WestGrid account holder to participate in this workshop.

Any researcher who is interested in learning more about batch and parallel programming is invited to attend. 

All disciplines and experience levels are welcome.

The topics covered during these sessions include:

  • batch and embarrassingly parallel processing
  • map reduce and hadoop
  • parallel Python and R
  • parallel Matlab
  • MPI and OpenCL/CUDA
  • topic modeling and machine learning
  • network analysis and visualization
  • ...and much more.

The workshop will consist of three parts. You can choose to attend one or multiple sessions.

PART I - Getting Started
Tuesday, Oct 14 
1:00 - 4:30 pm
Wednesday, Oct 15 (repeat of Tuesday's session)
1:00 - 4:30 pm

PART II - Beyond the Fundamentals
Thursday, Oct 16 
1:00 - 4:30 pm
Friday, Oct 17 (repeat of Thursday's session)
2:30 - 5:30 pm

PART III - Fast Track - Review & Summary; Getting Things Done
Saturday, Oct 18
1:00 - 4:30 pm