Compute Canada and PIMS Launch Jupyter Service for Researchers
TORONTO, ONTARIO, March 15, 2017 — Compute Canada and the Pacific Institute for the Mathematical Sciences (PIMS) announced today that they will provide a tool to facilitate and encourage research communities to engage in data and compute intensive research.
The partnership joins the mathematical sciences expertise from PIMS with the computational resources of Compute Canada to provide a service that responds to the need for an accessible computing platform for Canadian researchers. By delivering an easy-to-use scientific computing and data analysis environment through a web interface, PIMS and Compute Canada have lowered the barrier to code creation, data visualization and research collaboration.
“Julia, Python and R are very popular languages for doing data analysis,” says Dr. Dugan O’Neil, Compute Canada’s Chief Science Officer. “There are many people using these languages today, but many more who could be using them, if it were easier to get started. I expect many researchers will begin using these services via Jupyter Notebooks. As their need for computing power grows, they will incorporate more of Compute Canada’s advanced research computing (ARC) services into their daily work. I view this as an exciting on-ramp to ARC, and I am very happy that we are working closely with PIMS to provide it.”
The service is a set of computational tools that aligns text, math and code in a convenient tool called a Jupyter notebook. Researchers access the interactive computing environment to analyze, collaborate, and ultimately, make discoveries.
“Our service delivers a powerful computing platform to research teams,” says Dr. James Colliander, PIMS Director. “The platform is integrated with the researcher’s single-sign on system at their university and accessed via their browser. It’s simple to use, but effective in allowing researchers to access the tools they need to carry out their investigations.”
The pilot project is currently in the beta-stage, Colliander and his team are testing the service with 10 universities across Canada. PIMS works with the universities to provide the training and the platform is hosted by Compute Canada.
“This service will help Canadian researchers develop the digital skills needed to engage in compute and data intensive research and will help democratize access across all disciplines regardless of background,” says Compute Canada President and CEO, Mark Dietrich. “These skills are in high demand and are essential to today’s research methods.”
More information about the service can be found here: http://syzygy.ca/#