Research @ SciNet

SciNet is the supercomputer center at the University of Toronto.

Our team is composed by scientists with expertise in the following research fields:

  • Computational Astrophysics, Molecular Dynamics, Computational Fluid Dynamics, Complex Networks.
  • Data Analysis, Machine Learning, Neural Networks and Deep Learning,
  • Scientific and High-Performance Computing: applications and implementations,
  • Scientific Visualization: applications, implementation and development.
  • BioInformatics.

If you would like to establish a collaboration with our research team to work in a project, please contact us at research _at_

SciNet’s Publications:

Software-Driven Capabilities of a Ultra-High-Resolution Video Wall,
In prep. (2017)
R.Van Zon and M.Ponce
The influence of neutrinos on r-process nucleosynthesis in the ejecta of black hole–neutron star mergers,
Monthly Notices of the Royal Astronomical Society (2017) Volume 464, Issue 4, Pages 3907–3919.
L.F.Roberts, J.Lippuner, M.D.Duez, J.A.Faber, F.Foucart, J.C.Lombardi, S.Ning, C.D.Ott, M.Ponce
Scientific Computing, High-Performance Computing and Data Science in Higher Education,
White paper (2016).
M.Ponce, E.Spence, D.Gruner and R.Van Zon
SciNet: Lessons Learned from Building a Power-efficient Top-20 System and Data Centre,
Journal of Physics: Conference Series (2010) Vol.256, Nbr.1.
C.Loken, D.Gruner, L.Groer, R.Peltier, N.Bunn, M.Craig, T.Henriques, J.Dempsey, C-H.Yu, J.Chen, L J.Dursi, J.Chong, S.Northrup, J.Pinto, N.Knecht and R.Van Zon

Publications enabled by SciNet: