Scientific Visualisation

Scientific visualisation is an interdisciplinary branch of science primarily concerned with the visualization of three-dimensional phenomena (architectural, meteorological, medical, biological, etc.), where the emphasis is on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps with a dynamic (time) component.

 

General Training Material

General Training Material

Large Data Visualization

Description: This module provides an introduction to concepts of visualization with a focus on parallel computing techniques to handle large datasets.

Training Material: To view the material please click on the link below:

 Large Data Visualization

Credit: Cornell Virtual Workshop

(to open their website click here) 


 

Paraview

Paraview Description: Paraview is a highly capable visualization application for computational fluid dynamics and other subjects. It is open source and can run in parallel. This module includes a lab which covers visualization of a sample dataset both on a local computer and on TACC resources.

Paraview Training Material: To view the material please click on the link below:

Paraview

Credit: Cornell Virtual Workshop

(to open their website click here) 

D3.js for Data Visualization

Description of D3.js: is a data visualization library by Mike Bostock, who is also the primary creator of Protovis, which D3 is designed to replace.

Training Material for D3.js: The following two links provide access to tutorials

Official Tutorials

D3 for mere mortals (Luke Franci).