The purpose of scientific visualization is to graphically illustrate scientific data to enable scientists to understand, illustrate, and glean insight from their data. Visualization is the emphasis on realistic renderings of volumes, surfaces, illumination sources, and so forth, perhaps with a dynamic (time) component. Compute Canada’s Visualization team is working closely with 40 separate research teams, as well as more than 165 researchers at workshops and training events.

Research areas using Compute Canada’s Visualization Services include: Engineering, Digital humanities, Earth sciences, Neuroscience, BioImaging/Physiology/Medicine, Bioinformatics, Chemistry, Computer science, Architecture, Physics, Astrophysics, Mathematics, and Multidisciplinary research.

The following are submissions to this year's Seeing Big Visualization Showcase at HPCS2016 in Edmonton. These visualizations were rendered by Canadian researchers with simulations run on Compute Canada systems, or on work in international collaborations in which visualizations were done on Compute Canada systems.

Cutting-edge of Optical Engineering

Nano-photonics simulation

A nano-photonics simulation by Antonino Cala' Lesina (University of Ottawa) and collaborators showing the electromagnetic interaction of a tightly-focused Gaussian laser beam with a photonic crystal composed of dielectric 110-nanometer spheres ordered on a spatial lattice. The simulation was performed with an in-house finite-difference time-domain parallel code on SOSCIP's IBM BlueGene/Q system which is managed by SciNet; a consortia of Compute Ontario.

Visualizing Complex Systems in the Oceans and Atmosphere

Computational fuild dynamics (CFD) simulation

This clip shows a computational fluid dynamics (CFD) simulation from Dr. Marek Stastna’s group (image by Justin Shaw) at the University of Waterloo visualizing the formation of small-scale structures from a uniform barotropic jet (the jet itself not shown in this picture). The instability takes the form of undulations of the jet that roll up into large vortices and subsequently undergo secondary instabilities leading to the formation of small-scale filaments. The large-scale features are marked with white and black, while the small-scale filaments and other 3D structures are in red.

Visualizing the Merger of a Star and a Black Hole

Neutron star - black hole merger simulation

This video shows the late state of a neutron star - black hole merger in a simulation by an international team led by Luke Roberts (Caltech) modelled with a particle code specially developed for this scenario. This rendering showing ejecta and the velocity field around the merged object was done on SciNet visualization nodes by the Canadian member of the team Marcelo Ponce (SciNet, UofT, a Compute Ontario consortia). This work is a collaboration among several groups working in three different areas of astrophysics: numerical relativity for generating the initial stages of the merger, a particle hydrodynamics code for tracking the long-term evolution of the ejected matter with high accuracy and some relativistic effects, and the nucleosynthesis network study on the ejected material.