HPCVL is a consortia of five universities and three colleges led by Queen's University. We specialize in secure, advanced computing resources and support for academic, medical, and commercial clients. HPCVL is a high performance data centre supporting Canadian research groups, many headed by Canada Research Chairs, internationally recognized researchers and medical research leaders.
Letters of Intent due by August 13, 2015
Researchers building platforms or portals to serve the needs of a community of users are invited to apply to Compute Canada’s 2016 Research Platforms and Portals (RPP) competition, which grants access to computing and storage resources on Compute Canada’s systems.
The Compute Ontario Summer School on High Performance and Technical Computing is an annual educational event for students, postdocs and researchers in the areas of computational science. Jointly organized by SHARCNET (Ontario-West), SciNet (Ontario-Central) and HPCVL (Ontario-East), attendees are provided with opportunities to learn and share knowledge and experience in high performance and technical computing.
This all-week series of workshops will cover a range of high-performance computing related subjects, such as Introductions to OpenMP, MPI, and CUDA programming of GPUs. The Summer School will be conducted in three instalments for the different regions of Ontario:
HPCVL hosted the premiere "Advanced Computing and Analytics in Medical Research Symposium" on May 12th, 2015, which included several renowned speakers. Advances in technology have led to the availability of large volumes of data from a variety of research studies and clinical environments. This data can be processed, integrated, and stored to present opportunities for new understandings of disease and treatments, and has the potential to help save lives and billions of dollars throughout the health care system as well as potentially helping to create new products and methodologies. This symposium examined several aspects of this opportunity and the issues surrounding the use of this data.
HPCS 2015, Canada’s foremost supercomputing conference, will be co-hosted by Compute Canada and Calcul Québec at the SGW campus of Concordia University in downtown Montreal from June 17th to June 19th 2015. As usual, the three days of the main conference will be preceded by two days of workshops and meetings on June 15th and 16th.
Please join us for Compute Ontario Research Day 2015 on Thursday, May 21 at the Cambridge campus of Conestoga College Institute of Technology and Advanced Learning. This is a collaborative event between SHARCNET, SciNet, HPCVL, and Conestoga College Institute of Technology and Advanced Learning. For more details, click here.
Note: The deadline for submitting contributed presentation abstracts for CORD2015 has been extended to Monday May 2, 2015 at 12:00 p.m.
Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States are invited to apply for the sixth International Summer School on HPC Challenges in Computational Sciences, to be held June 21-26, 2015, in Toronto, Canada. For more details, click here.
HPCVL is proud to announce that we were selected as one of the "Best 10 Research Facilities" in Canada. The editor and publisher of Re$earch Money magazine helped compile a list of nine facilities and one company. The Backbone 200 consists of organizations, people, events and products that stand out, that contribute to our competitiveness and economic strengths, and-as in the case of our world-leading game developers-our ability to have fun and make money. See full article here.
HPCVL provides a secure environment and computing resources for the Ontario Brain Institute (OBI). The Ontario Brain Institute is creating an extensive brain research database called the Brain-CODE that will allow researchers to work faster and more efficiently. Read more here.
The "Double-layer Master-Slave Model" (DMSM) combines an MPI-based approach for workload distribution on a cluster with local OpenMP-based task scheduling for multicore nodes. It is therefore ideally suited to exploit clusters with multicore and multithreaded nodes. At HPCVL, we have implemented this model in the form of a library that requires minimal user input. The library is freely available for download in the form of Fortran90 and C source code. Since only standard language features were used in the development, it can be deployed easily on multiple platforms. For details, see our FAQ file, or the User's Manual.