Decision Analytics for Computational Engineering

University of Toronto, Toronto, Ontario
What the facility does

Infrastructure for collaborative decision support in complex systems design

Areas of expertise

This state-of-the-art infrastructure has two main components: (1) a high-resolution display wall with over 30M pixels and (2) multitouch table command and control centers supported by a dedicated cluster of computing nodes equipped with floating point accelerators. This infrastructure supports research into novel computational strategies for supporting rapid decision making in design, visualization strategies for decision analytics, and rapid prototyping of numerical algorithms (e.g., machine learning algorithms for large-scale simulation/experimental databases, numerical methods for parametrized partial differential equations) on modern parallel computing hardware.

Research services
  • Modeling of large-scale datasets,
  • Uncertainty quantification of computational models,
  • Numerical optimization,
  • Robust design (Optimization under uncertainty),
  • Bayesian calibration of computer models,
  • Visualization
Sectors of application
  • Aerospace and satellites
  • Automotive
  • Environmental technologies and related services
  • Manufacturing and processing
Name of equipment in use Description of function

5x3 display wall


55” 4k multitouch tables

User interface development

Compute cluster

Parallel computing

Access to Compute Canada’s HPC resources

  • Aircraft engine manufacturers/ environmental modeling software/ and CAD companies