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.utoronto.ca


SciNet’s Publications:

all
HPC
Data Analysis / BioInformatics
Astrophysics
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all
Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer,
M.Ponce, R.Van Zon, S.Northrup, D.Gruner, J.Chen, F.Ertinaz, A.Fedoseev, L.Groer, F.Mao, B.C.Mundim, M.Nolta, J.Pinto, M.Saldarriaga, V.Slavnic, E.J.Spence, C-H.Yu, and W.R.Peltier
https://arxiv.org/abs/1907.13600 -- Presented at PEARC19 (Chicago, IL).
Software-Enhanced Teaching and Visualization Capabilities of an Ultra-High-Resolution Video Wall,
R.Van Zon and M.Ponce
https://arxiv.org/abs/1908.00056 -- Presented at PEARC'19 (Chicago, IL).
The Med31 Conserved Component of the Divergent Mediator Complex in Tetrahymena thermophila Participates in Developmental Regulation,
Current Biology, Vol 29 Issue 13 (2019)
Garg et al, including M.Ponce
RACS: Rapid Analysis of ChIP-Seq data for contig based genomes,
M.Ponce, A.Saettone, S.Nabeel‑Shah and J.Fillingham


Trends in Demand, Growth, and Breadth in Scientific Computing Training Delivered by a High-Performance Computing Center,
Journal of Computational Science Education vol 10(1) (2019).
R.Van Zon, M.Ponce, E.Spence and D.Gruner
Presented at the Fifth Workshop on Best Practices for Enhancing HPC Training and Education (BPHTE18) @ SC18
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,
Journal of Computational Science Education, vol 10(1) (2019).
M.Ponce, E.Spence, R.Van Zon and D.Gruner
Presented at the Workshop on Strategies for Enhancing HPC Education and Training (SEHET18) @ PEARC18
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,
Journal of Computational Science Education, vol 10(1) (2019).
arXiv version (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
HPC
Deploying a Top-100 Supercomputer for Large Parallel Workloads: the Niagara Supercomputer,
M.Ponce, R.Van Zon, S.Northrup, D.Gruner, J.Chen, F.Ertinaz, A.Fedoseev, L.Groer, F.Mao, B.C.Mundim, M.Nolta, J.Pinto, M.Saldarriaga, V.Slavnic, E.J.Spence, C-H.Yu, and W.R.Peltier
https://arxiv.org/abs/1907.13600 -- Presented at PEARC19 (Chicago, IL).
Software-Enhanced Teaching and Visualization Capabilities of an Ultra-High-Resolution Video Wall,
R.Van Zon and M.Ponce
https://arxiv.org/abs/1908.00056 -- Presented at PEARC'19 (Chicago, IL).


Trends in Demand, Growth, and Breadth in Scientific Computing Training Delivered by a High-Performance Computing Center,
Journal of Computational Science Education vol 10(1) (2019).
R.Van Zon, M.Ponce, E.Spence and D.Gruner
Presented at the Fifth Workshop on Best Practices for Enhancing HPC Training and Education (BPHTE18) @ SC18
Bridging the Educational Gap between Emerging and Established Scientific Computing Disciplines,
Journal of Computational Science Education, vol 10(1) (2019).
M.Ponce, E.Spence, R.Van Zon and D.Gruner
Presented at the Workshop on Strategies for Enhancing HPC Education and Training (SEHET18) @ PEARC18


Scientific Computing, High-Performance Computing and Data Science in Higher Education,
Journal of Computational Science Education, vol 10(1) (2019).
arXiv version (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
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
Data Analysis / BioInformatics
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