High Performance Computing Analyst – Post Doctoral Fellow (IBM/SOSCIP)

November 16, 2017 in for_researchers, for_users, HPC Jobs, HPC Jobs Ontario, news

SOSCIP is currently looping for a new BlueGene/Q support post-doc.

Job Description
In partnership with 15 leading Ontario academic institutions, federal and provincial governments, IBM is supporting collaborative research projects that leverage high performance computing to drive commercial outcomes for social and economic development in Ontario. We have announced over 40 exciting research projects aligned to Health, Energy, Cities, Water, Mining, Cybersecurity, Digital Media, Advanced Manufacturing and Agile Computing. We are now hiring to support these projects.

Specialist – IBM Blue Gene/Q supercomputer based at University of Toronto.

This role is for a cross-team specialist who will support IBM Blue Gene/Q, the largest supercomputer in Canada. The selected candidate will be part of a team based at University of Toronto and provide parallel programming support to research teams. The research teams include faculty, postdoctoral fellows, graduate students and other industry partners. This role is pivotal to advising, building and optimizing applications to leverage massively parallel platforms and drive innovation to impact the lives of Canadians.

Job Responsibilities:

• Assist research teams in making effective use of massively parallel platforms including one of the largest supercomputers in Canada and a new research platform for exascale computing
• Develop, port, optimize and analyze scientific numerical codes using thousands of CPU cores on the Blue Gene Q using Fortran, Python, C, C++, etc
• Parallel-programming assistance on smaller-scale x86 and Power clusters, possibly including GPU’s
• Install, upgrade and lead day-to-day operations for scientific infrastructure including mathematical software packages, libraries, compilers, visualization software, schedulers etc
• promote, advise and teach mini-courses on scientific computing and parallel programming

Click here for more information

Expired: Job Opportunity at SciNet: HPC Analyst

October 20, 2017 in for_researchers, for_users, HPC Jobs, HPC Jobs Ontario

The SciNet HPC Consortium is looking to augment their team with an HPC Analyst.

Title of job: Scientific Applications Analyst

Location: SciNet HPC Consortium, University of Toronto, Toronto, Ontario, Canada

Summary of job:

The Scientific Applications Analyst provides senior IT services and training in parallel programming, data science applications, and scientific computing workflows for the SciNet High Performance Computing (HPC) consortium which serves researchers at the University of Toronto including faculty, postdoctoral fellows and graduate students in all disciplines and fields (e.g. science and engineering, medicine, finance, languages, etc.). The incumbent is involved in massively-parallel computing (single jobs that make use of up to 40,000 cores) and data analytics and machine learning on large data sets (100TB and up). S/he works with researchers and research teams to plan, develop, install and optimize the initial SciNet systems for various research programs and provides technical consultation to researchers on their system needs for research operations. S/he also takes part in delivering and developing SciNet’s training and education program. SciNet operates large High Performance Computing (HPC) systems, and acquires the largest HPC cluster in Canada by the end of 2017. SciNet provides HPC resources and support to researchers at the University of Toronto, the affiliated research hospitals, and other Canadian universities.

Salary: CAD$94,672 with an annual step progression to a maximum of CAD$121,069. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.

Closing date: Oct 26, 2017, 11:59:00 PM EST

For more details, see the job site of the University of Toronto.

Expired: Job Opportunity at SciNet: HPC Sysadmin

September 11, 2017 in blog-general, for_users, HPC Jobs, HPC Jobs Ontario, news

The SciNet HPC Consortium is looking to augment their team with a systems administrator.

Title of job: Systems Administrator and Web Applications Developer

Location: SciNet HPC Consortium, University of Toronto, Toronto, Ontario, Canada

Summary of job:
The System Administrator and Web Applications Developer maintains and updates SciNet Identity Management System including complete integration with Compute Canada Database; develops the security plan for SciNet High Performance Computing systems ensuring maximum availability of the computing system and integrity of research performed on the High Performance Computing System. The incumbent designs, tests, implements, maintains and improves web-based applications for the SciNet User Portal and the Compute Canada Database, tests and monitors SciNet connectivity to University of Toronto and the rest of Compute Canada; designs and recommends improved networking schemes and hardware to enable researchers to efficiently move datasets across the country. Performs system administration on Linux High Performance Computing systems including Canada’s largest supercomputer (40,000+ cores) and large storage system, as well as other hosted systems. Minimum qualifications: BSc in Computer Science or a related field or equivalent combination of education and experience; 5 years of relevant work experience.

Salary: $81,918 CAD with an annual step progression to a maximum of $104,759 CAD (USW Pay Band 16). Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.

Closing date: Sep 25, 2017, 11:59:00 PM EST

For more details, see the job site of the University of Toronto

2017 Compute Ontario Summer School Central

June 14, 2017 in blog, blog-general, for_educators, for_press, for_researchers, for_users, frontpage, news, Uncategorized

The Compute Ontario Summer School on Scientific and High Performance Computing is an annual educational event for graduate/undergraduate students, postdocs and researchers who are engaged in a compute intensive research. Held geographically in the west, centre and east of the province of Ontario, the summer school provides attendees with the opportunity to learn and share knowledge and experience in high performance and technical computing on modern HPC platforms.

Each site will have a slightly different list of courses. The summer school will include both in-class lectures and hands-on labs (done on the participants’ laptops). Those who attend at least three full days cumulatively will receive an official certificate in HPC training (i.e., a total of 6 full morning and afternoon sessions).

Instructors for this school have been provided by SciNet, CAMH and SHARCNET. Break refreshments are provided courtesy of Compute Ontario.


Registration for the central installment in Toronto from July 24-28, 2017 is now open!

The registration is free and is aimed at Compute Canada users as well as students, post-docs and other researchers from academic institutions. You do not need to have a SciNet account. Please be advised that seats are limited and tend to fill up.

More information and registration can be found on the summer school website.


High Performance Computing Stream Data Science Stream Biomedical Stream
Mon, Jul 24
Morning: 09:00-12:00
Welcome and Introduction to HPC and SciNet
Afternoon: 13:30-16:30
Shared Memory Programming with OpenMP Introduction to the Linux Shell PLINK
Tue, Jul 25
Morning: 09:00-12:00
Shared Memory Programming with OpenMP Introduction to R Next Generation Sequencing
Afternoon: 13:30-16:30
Programming Clusters with Message Passing Interface Data Science with Python RNASeq
Wed, Jul 26
Morning: 09:00-12:00
Programming Clusters with Message Passing Interface Parallel R for Data Science Python for MRI analysis
Afternoon: 13:30-16:30
Programming Clusters with Message Passing Interface Python for High Performance Computing (Parallel Python) Image Analysis at Scale
Thu, Jul 27
Morning: 09:00-12:00
Programming GPUs with CUDA Visualization with Python Machine Learning for Neuroimaging
Afternoon: 13:30-16:30
Programming GPUs with CUDA Scientific Visualization Suites R for MRI analysis
Fri, Jul 28
Morning: 09:00-12:00
Programming GPUs with CUDA Debugging, Profiling and Bring-Your-Own-Code Lab Public Datasets for Neuroimaging
Afternoon: 13:30-16:30
Programming GPUs with CUDA Debugging, Profiling and Bring-Your-Own-Code Lab Unit Testing / Neuroinformatics Pipeline Development


This event will be held in the Medical Science Building at the University of Toronto, 1 King Circle, Toronto, Ontario, M5S 1A8, Canada.

The nearest subway station is “Queen’s Park”. Paid parking is available on the St. George Campus.


Lodging is not provided by the organization. If you require lodging, you will have to make arrangements yourself. It may be worthwhile checking out the University’s summer residence program at www.studentlife.utoronto.ca/hs/summer .


Meals are *not* provided by the organization, but refreshments will be provided during the morning and afternoon breaks, courtesy of Compute Ontario.


For the hands-on sessions, participants are to bring their own laptop with working wireless and with an ssh client with X-windows installed. The latter is needed to connect to one of SciNet or SHARCNET supercomputers, to which the participant will get access for the duration of the School.


Participants that complete at least three days worth of instruction (i.e., a total of 6 morning and afternoon sessions combined) are to receive a Compute Ontario Summer School Certificate on the last day of the School. Note that this certificate is separate from the SciNet certificates, but parts of the school may count towards a SciNet certificate as well.

Grand Opening of the ArcNet Space at MaRS

May 15, 2017 in blog-general, for_educators, for_press, for_researchers, for_users, frontpage, news, Uncategorized

On May 9, 2017, the Grand Opening of the ArcNet space took place (despite having moved a while ago). What is ArcNet? It is a space where expertise and support of Advanced Research Computing (the “ARC” in ArcNet) from three organizations come together. SciNet is the oldest of the three; It is the supercomputing consortium at the University of Toronto, which has been providing Canadian researchers with computational resources and expertise necessary to perform their research on scales not previously possible in Canada, from the biomedical sciences and aerospace engineering to astrophysics and climate science. SOSCIP is a research and development consortium that pairs academic and industry researchers with advanced computing tools to fuel Canadian innovation. The third organization, Compute Ontario, partners with the four academic computing consortia in Ontario aims to drive advanced computing to accelerate research and enhance competitiveness in the global marketplace resulting in a more prosperous Ontario.

The Grand Opening brought together many of our stakeholders, and was also attended by the Ontario Minister of Research, Innovation and Science, MPP Rezi Moridi, by the President of the University of Toronto Meric Gertler, by the Vice-President of Research at the University of Toronto Prof. Vivek Goel, and by the Scientific Directory of SciNet Prof. W. Richard Peltier. We were honoured that each was willing to say a few words about the opening of this space.

“This facility is a true partnership between the University of Toronto’s SciNet High Performance Computing Consortium, SOSCIP and Compute Ontario. Bringing them together in a state-of-the-art facility will strengthen their partnership and undoubtably create new opportunities to drive innovation through advanced computing in Ontario.” said Prof. Goel, one of the driving forces of the creation of the space.

The President of the University of Toronto reminded us that “With ARCNet, we have created an amazing hub of talent and technology that fosters collaboration between the public and private sector.”

Minister Rezi Moridi remarked that “Today we are here to celebrate the grand opening of the Advanced Research Computing facility. It is great to see that three organizations got together and set up this wonderful facility: SOSCIP,
Compute Ontario, and University of Toronto’s SciNet. I wish you all the best in serving our research community.”

The speeches were given in the new teaching and visualization room. This room holds up to 40 students and is already frequently used for courses and other events. It features a large visualization wall, i.e., a 13 x 7.5 feet ultrahigh resolution screen (8K, to be precise).

Two presentations were given by SciNet analysts to demonstrate the capabilities of this visualization wall; Ramses van Zon showed how to get insight into the complexity of the software installed on SciNet’s main cluster by using graph visualizations, while Marcelo Ponce showed visualizations of several aspects of interacting neutron stars, with data from numerical general relativity simulations.

You can see the capabilities of the visualization wall in the following video:

Sheridan Cyber Security Symposium 3.0

May 6, 2017 in for_educators, for_industry, for_researchers, for_users, news

The Sheridan Cyber Security Symposium 3.0, will be held on Monday, May 15, 2017 at the Hazel McCallion Campus of Sheridan College in Mississauga.

This conference is hosted by the Sheridon College Faculty of Applied Science and Technology in collaboration with Sheridan Applied Research and Innovation, and will explore cyber security within public health & safety, community, education and business.

For more information and registration see the symposium’s website.

Expired: HPCS 2017, Kingston June 5-9, 2017

April 25, 2017 in blog-general, for_researchers, for_users, news, Uncategorized

HPCS (the High Performance Computing Symposium) is Canada’s premiere Advanced Research Computing (ARC) conference, bringing together top researchers from across Canada and around the world, as well as major industry partners.

This year’s conference is being held in Kingston, Ontario – June 5th – 9th, and will include a range of keynote sessions and technical workshops designed to appeal to the research community and ARC professionals. Topics will include “traditional” HPC disciplines, as well as emerging areas such as cognitive computing – and there will have sessions exploring future technologies.

For more information see 2017.hpcs.ca

Note that Ontario students can go for fee (see the flyer).

International HPC Summer School 2017 in Boulder, CO

January 25, 2017 in for_educators, for_researchers, for_users, frontpage, news, Uncategorized


Apply by 6 March, 2017
Expenses-paid program
Sponsored by PRACE, XSEDE, Riken, and Compute Canada
website: https://confluence.xsede.org/display/IH17/International+HPC+Summer+School+2017

The eighth International Summer School on HPC Challenges in Computational Sciences will be held from June 25-July 30, 2017, Boulder, Colorado, USA. This is an advanced summer school on High Performance Computing which targets graduate students who already have some experience in HPC parallel programming (for instance, MPI, OpenMP, or CUDA/OpenCL), preferably on software used in successful research projects.

The organizers of this summer school are XSEDE, PRACE, Compute Canada, and RIKEN.

Leading American, Canadian, European and Japanese computational scientists and HPC technologists will offer instruction on a variety of topics. The program is still being finalized, but previous summer schools included the following:

  • Access to EU, Canadian, Japanese and U.S. HPC-infrastructures
  • HPC challenges by discipline (e.g., bioinformatics, computer science, chemistry, and physics)
  • HPC Programming Proficiencies
  • Performance analysis & profiling
  • Algorithmic approaches & numerical libraries
  • Data-intensive computing
  • Scientific visualization

Participation in the summer school is decided through an application process. Meals, housing, and travel will be covered for the selected participants. Applications from students in all science and engineering fields are welcome. Ten out of 80 student participants will be from Canada. Preference will be given to applicants with parallel programming experience, and a research plan that will benefit from using high performance computing systems.

Applications are due by March 6, 2017
For further information and to apply online, please click here.

High Performance Storage System (HPSS)

November 8, 2016 in for_researchers, for_users, Systems, Uncategorized

The High Performance Storage System (HPSS) is a tape-backed hierarchical storage system that provides a significant portion of the allocated storage space at SciNet. It is a repository for archiving data that is not being actively used. Data can be returned to the active filesystem on the compute clusters when it is needed.

SciNet’s HPSS currently stores nearly 9 PB of data.

For more information, see the technical documentation on the SciNet wiki

Resource Allocation Competition for 2017 Opened

October 12, 2016 in blog, for_researchers, for_users, news

Yesterday, Compute Canada launched its annual Resource Allocation Competitions (RAC), a peer-reviewed process to grant priority access to Compute Canada’s advanced research computing resources.

The process for getting these resources has been restructured. If your research group needs computing or storage resources on Compute Canada systems in 2017, then you will need to understand the renewed process for getting such resources.

Names for various kinds of resource allocations have changed. For instance, what was formally called a RAC application, now is called an application to the RRG competition (“Resources for Research Groups”), and what was formally a default allocation is now RAS (“Rapid Access Service”). New competitions have been added as well, such as the RPP (Research Platforms and Portals) competition. The RAC acronym is now used as an overall term for all of these competitions.

So if you held a RAC allocation in previous years and want to apply for one in 2017, or you were thinking of applying, you likely want an RRG allocation.

On the Compute Canada site, you can find more information on the RGG and RPP, and on the RAS.

To explain these and other changes to the process, on Thursday Oct 13, 2016, from 12 noon to 1:30 pm, there will be an on-line Q&A session. SciNet will broadcast this session in our boardroom, where SciNet analysts will also be present to take questions (note that SciNet has recently moved to the MaRS building).