Digital Research Alliance of Canada

April 4, 2022 in Partners

The Digital Research Alliance of Canada serves Canadian researchers, with the objective of advancing Canada’s position as a leader in the knowledge economy on the international stage. By integrating, championing and funding the infrastructure and activities required for advanced research computing (ARC), research data management (RDM) and research software (RS), we provide the platform for the research community to access tools and services faster than ever before.

Compute Ontario

January 19, 2018 in Partners

Compute Ontario is a not-for-profit corporation designed to support
advanced computing in Ontario. They develop central strategies,
planning, and advocacy for advanced computing assets and investments
in Ontario, and aim to facilitate collaboration. They have partnerships with
the Ontario academic providers of HPC systems and support: SciNet,
SHARCNET, CAC, and HPC4Health.

SOSCIP

January 19, 2018 in Partners

SciNet hosts several of the systems of the Southern Ontario Smart Computing Initiative Platform and provides support for these systems.

Department of Physics at the University of Toronto

January 19, 2018 in Partners

Partnering with the Department of Physics at the University of Toronto resulted in the creation of the course PHY1610H Scientific Computing for Physicists, designed and taught by Dr. R. van Zon and Dr. M. Ponce, who are also HPC analysts at SciNet.

Institute of Medical Science at the University of Toronto

January 19, 2018 in Partners

Partnering with the Institute of Medical Science at the University of Toronto allowed us to create the course MSC1090H Introduction to Computational BioStatistics with R, designed and taught by Dr. M. Ponce, Dr. E.J. Spence and Dr. R. van Zon, who are also HPC analysts at SciNet.

Department of Physical and Environmental Sciences at UTSC

January 19, 2018 in Partners

Partnering with the Department of Physical and Environmental Sciences at the University of Toronto Scarborough has been instrumental to create the course
EES1137H Quantitative Applications for Data Analysis, designed and taught by Dr. M. Ponce, Dr. E.J. Spence and Dr. A. Fedoseev, who are also HPC analysts at SciNet.