Pairing academic and industry researchers with advanced computing tools to fuel Canadian innovation

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Who We Are

Smart computing for innovation

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SOSCIP is a research and development consortium that pairs academic and industry researchers with advanced computing tools to fuel Canadian innovation within the areas of agile computing, cities, mining, health, digital media, energy, cybersecurity, water and advanced manufacturing. 

SOSCIP was established in 2012. Current consortium members include Carleton University, IBM Canada, McMaster University, OCAD University, Ontario Centres of Excellence, Queen’s University, Ryerson University, Seneca College, University of Guelph, University of Ontario Institute of Technology, University of Ottawa, University of Toronto, University of Waterloo, University of Windsor, Western University, Wilfrid Laurier University and York University.

Click here to see SOSCIP’s Board of Directors.
Click here to see SOSCIP’s Scientific Advisory Committee.

Who We Are

Funded By

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Partners

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Members

Is SOSCIP for you?

Do you have a big data or advanced computing problem? Would you like to explore how advanced computing tools could be employed to advance your research? Or solve technical challenges?

We can help.

With SOSCIP, you get access to Canada’s most powerful advanced computing platforms, expert technical support, dedicated funding for post-doctoral fellows and graduate students, and access to SOSCIP’s partnership network.

Impact Stories

SOSCIP research uses smart computing tools to address issues that impact our everyday lives.
Read our Impact Stories to find out more.

Our Researchers

SOSCIP research includes innovative collaborations among 15 Ontario universities and across many diverse industries; our researchers are tackling the issues important to our future.

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Amiya Nayak

University of Ottawa
Project title: Big Data Analysis and Optimization of Rural and Community Broadband Wireless Networks
Industry Partner: EION Inc.

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Keith Vanderlinde

University of Toronto
Project title: Real-time radio transient trigger and analysis
Industry Partner: SkyWatch

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Lora Ramunno

University of Ottawa
Project title: Large scale simulation of nanostructured optical surfaces

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Ted Sargent

University of Toronto
Project title: Atomic-scale modeling of halide perovskites for optoelectronics and photovoltaics
Project title: Computational high-throughput screening of catalyst materials for renewable fuel and feedstock Generation

Industry Partner:
IBM Canada Ltd., others

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SOSCIP Phase 2 Collaborative Projects

SOSCIP supports collaborative R&D projects that involve academic and industry researchers working together to solve challenging problems using SOSCIP’s computing platforms.

Interested in a career in data science? Browse our job board.

Recent News

Check out the latest announcements, events and more

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Services

SOSCIP is about more than just computers. Our mandate includes generating effective collaborations among SOSCIP consortium member academic institutions and industry. See below to learn more about our platforms + expertise + programs.

 

Programs

SOSCIP offers a number of programs that are available to researchers at our member institutions, as well as Ontario industry partners, to help achieve research & technical goals with our advanced computing tools.

Platforms

The SOSCIP advanced computing platforms feature four distinct and unique systems that provide academic and industry researchers with a competitive advantage not available anywhere else in Canada. Our technology is bolstered by high-level technical support from our experts at the University of Toronto, Western University, Queen’s University and IBM.
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IBM BLUE GENE/Q

Canada’s fastest supercomputer is suited for large-scale, distributed applications that require massively parallel processing power.

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CLOUD ANALYTICS

Canada’s first research-dedicated cloud environment hosts a broad array of IBM software tools for application development and data analytics.

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AGILE COMPUTING

Canada’s first multi-platform agile R&D environment uses Field-Programmable Gate Array technology to accelerate hardware performance.

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LARGE MEMORY SYSTEM

The LMS is a single 64-core virtual system with 4.5 TB of RAM. Outfitted with the latest IBM analytics software, it’s ideal for data-intensive projects with huge active memory requirements.

Expertise

Our services include unrivaled access to hardware and software expertise you won’t find anywhere else, as well as access to SOSCIP’s business development network.