Scientific Visualization

Description:

First we will start with simple 1D/2D/3D plotting using plot.ly. The rest of the day we will study 3D scientific visualization with ParaView, an open source, multi-platform data analysis and visualization tool designed to run on a variety of hardware from an individual laptop to large supercomputers. With ParaView users can interactively visualize 2D and 3D data sets defined on structured, adaptive and unstructured meshes or particles, animate these datasets in time, and manipulate them with a variety of filters. ParaView supports both interactive (GUI) and scripted (including offscreen) visualization, and is an easy and fun tool to learn.

This workshop will be given by Dr. Alex Razoumov, Westgrid Training and Visualization Coordinator, Compute Canada.

Pre-requisites/requirements:

This is an introductory course, no prior visualization experience is required. This workshop will feature many interactive hands-on exercises, so attendees need to bring a laptop (and perhaps a power cord for use throughout the day) and should have ParaView installed from https://www.paraview.org/download before the workshop (we recommend version 5.6). We will provide all sample data and codes for the exercises, and you can bring your dataset if you want to visualize it with ParaView. No need to install plot.ly on your laptop — we will have it installed on a remote cluster.

Dates/schedule:

Thursday January 17th, 2019. From 9:00 am to 12:00 pm and from 1:00 pm to 4:00 pm.

This workshop is part of a 4-workshop-series that will provide hands-on introductions to essential tools and skills used in computational research. The other workshops in the series include:

  • Moving your research from Windows-based desktops to Linux and command line in remote servers,
  • Introduction to HPC: using clusters to speed up your research,
  • Foundations of Parallel Programming and the Chapel programming language.

You can attend single sessions or the entire series. There is no cost to attend but you must register online in advance.

Objectives:

See course description for a list of topics covered.

Prerequisites:

  • See course description

Other Recommendations:

There are no additional recommendations with this course

Duration:

6 hour Course

Registration Fees:

U of S Students: $0.00
U of S Faculty: $0.00
U of S Staff: $0.00
Off Campus: $0.00

Required Software:

There is no required software for this course.

Resources:

There are no additional resources for this course.

NOTE: Classes may have limited registration. If an offering is designated as 'Full', please email Training Services in order that we may accommodate your training needs. Due to last minute withdrawls, this class is subject to cancellation on short notice. A customized training solution may be offered in its place.

Registration Information
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