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What's New

Course materials now available
June 2, 2010

Course materials are now available online. Follow the links on the programme page to see notes and code examples.

Attendees' comments
June 2, 2010

See what other people think and add your comments here

A message to all attendees
May 28, 2010

On Monday, May 31, attendees are to meet at SCAET (S-Wing) atrium at 8:30 a.m. More...

Download the Attendee's Guide.

Subsidized accommodation full
May 27, 2010

The subsidized accommodation for students has been all exhausted. Attendees who need accommodation should make arrangement on their own.

Website recovered from slowness
May 23, 2010

The web site was extremely slow in the past couple of days due to a technical problem with SHARCNET's web server. Those who were unable to register or failed to complete the registration should try again now.

Subsidized accommidation to close
May 13, 2010

Students who wish to apply for subsidized accommodation should now contact the organizers for available spaces BEFORE registration.

Registration online
May 6, 2010

Students who wish to get subsidy on accommodation should register early.

Poster (PDF)

General-Purpose Visualization Tools on SHARCNET


Most people use a visualization tool they have been introduced to by their adviser/colleague and have no idea what other packages they can use to visualize their data. This session will start with a quick survey of three open-source general-purpose visualization packages available on SHARCNET: OpenDX, ParaView, and VisIT. We will focus specifically on ParaView, as it is a very handy tool that can be run on all platforms (Windows, Linux, and Mac) both in a standalone mode to render local datasets, and as an interactive client in a client-server mode, in which a remote server performs all the heavy lifting. We will go through several exercises covering such important aspects as importing your own data into ParaView, as well as scripting.

Instructor: Alexei Razoumov, SHARCNET, University of Ontario Institute of Technology.

Prerequisites: No prior experience with scientific visualization is necessary. Some knowledge of either C/C++ or Fortran and a desire to visualize your data would be useful.

Course Materials

slides (PDF)