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:

Cooperate-and-radiate co-evolution between ants and plants,
K.M.Kaur, P-J.G.Malé, E.Spence, C.Gomez, M.E.Frederickson
Bridging the Educational Gap between Emerging and Established Scientific Computing Disciplines,
To appear in the Journal of Computational Science Education (2018).
M.Ponce, E.Spence, R.Van Zon and D.Gruner
Presented at the Workshop on Strategies for Enhancing HPC Education and Training (SEHET18) @ PEARC18
Software-Driven Capabilities of a Ultra-High-Resolution Video Wall,
In prep. (2018)
R.Van Zon and M.Ponce
The bromodomain-containing protein Ibd1 links multiple chromatin-related protein complexes to highly expressed genes in Tetrahymena thermophila,
Epigenetics & Chromatin (2018)
A.Saettone, J.Garg, J‑P.Lambert, S.Nabeel‑Shah, M.Ponce, A.Burtch, C.Thuppu Mudalige, A‑C.Gingras, R.E.Pearlman and J.Fillingham,
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,
Updated version to appear in the Journal of Computational Science Education (2018).
White paper (2016).
M.Ponce, E.Spence, D.Gruner and R.Van Zon
Presented at the Workshop on Strategies for Enhancing HPC Education and Training (SEHET18) @ PEARC18

Detecting the orientation of magnetic fields in galaxy clusters,
Nature Phys.6:520 (2010).
C. Pfrommer, L J. Dursi
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: