for_users | SciNet | Advanced Research Computing at the University of Toronto

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.

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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

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.

SCHEDULE

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

LOCATION

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

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

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

COMPUTING FACILITIES

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.

CERTIFICATES

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.

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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:

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Sheridan Cyber Security Symposium 3.0

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

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.

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

April 25, 2017 in blog-general, for_researchers, for_users, 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).

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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 .

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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 has nearly 90 PB of capacity.

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

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Resource Allocation Competition for 2017 Opened

October 12, 2016 in blog, for_researchers, for_users

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).

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Job: High Performance Computing Analyst/Post-Doctoral Fellow with IBM

September 12, 2016 in for_researchers, for_users, HPC Jobs, HPC Jobs Ontario

IBM job posting for a “High Performance Computing (HPC) Analyst – Post Doctoral Fellow” to support SOCIP‘s BlueGene/Q (a machine that is hosted at SciNet).

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SciNet News August 2016

August 29, 2016 in for_researchers, for_users, newsletter

The SciNet offices have moved to a new home! We are now located in the MaRS West Tower on the eleventh floor (address: 661 University Ave., Suite 1140 Toronto, ON M5G 1M1). As in our old spot, users, students, and friends are still welcome to visit our new abode, however, because we are still getting settled in, it is recommended to schedule a meeting (by emailing support AT scinet.utoronto.ca).

You will also find the announcement of SciNet course offerings in the 2016-2017 academic year. Users that take a sufficient number of courses can earn one of the SciNet certificates. In addition, many of our courses can now be taken for credit towards PhD and MSc programs by graduate students from several departments across the University of Toronto, including Institute of Medical Sciences, Ecology and Evolutionary Biology, Chemistry, Astrophysics, and Physics.

As always, details on SciNet events are available on the wiki and the SciNet education website.

SUMMARY

SciNet offices have moved.
SciNet’s Courses that can also be taken for graduate credit at the University of Toronto:
- Advanced Parallel Scientific Computing
- Introduction to Data Analysis with R
- Introduction to Scientific Computing with Python
- Scientific Computing for Physicists
SciNet’s Training Events: Intro to SciNet, Intro to Linux Shell, Storage and I/O in Large Scale Scientific Projects, SciNet User Group Meetings.
HPSS: Now also accessible via Globus.
GPC: New versions of ParaView and VisIt, and beagle for GPUs available as modules.
GPC: New web portal with records of your completed GPC jobs available for testing at https://my.scinet.utoronto.ca.
BGQ: Upgraded toolchain and operating system.
P8: We now have two Power 8 boxes with GPUs available for testing.

SCINET OFFICE MOVE

The SciNet offices have moved to a new home! We are now located in brand new offices on the eleventh floor of the new MaRS West Tower at the corner of College Street and University Avenue. Our new address is

661 University Ave
Suite 1140
Toronto, ON M5G 1M1

As was the case when we were in our old spot, users, students, and friends are still welcome to visit, however, because we are still getting settled in, we recommend that you first schedule a meeting by emailing support AT scinet.utoronto.ca.

Many of our courses, training sessions and user group meetings will be given in the new location, either in our new conference room or in our new classroom.

EVENTS COMING UP

Unless stated otherwise, all events take place at the SciNet Headquarters, now located on the eleventh floor of 661 University Ave., MaRS West Tower, suite 1140 (look for the bright orange reception area).

Most events will be recorded and some are broadcasted, but only some of the courses can be taken remotely for SciNet certificate credits, as indicated below. All events at SciNet are free but we ask that you enroll on the education website: https://support.scinet.utoronto.ca/education .

Courses that can be taken for credit at the UoT

ADVANCED PARALLEL COMPUTING
8 Lectures, Tuesdays and Thursdays starting Sept 20, 11:00 am – 12:00 pm

Explore advanced use case examples of parallel computing in scientific research.

The course can be taken as a mini/modular graduate course by Physics, Astronomy, and Chemistry students.

This course counts toward the High Performance Computing Certificate.

For sign up and more information, see https://support.scinet.utoronto.ca/education/go.php/263/index.php
INTRODUCTION TO DATA ANALYSIS WITH R
12 Lectures, Tuesdays and Thursdays starting Oct 11, 12:00 pm – 1:00 pm

The goal of this course is to prepare students to perform scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large and small data sets, as well as be exposed to cutting-edge techniques and best practices to store, manage and analyze (large) data.

For students in the Institute of Medical Science, this course can be taken as “Seminars in Translational Research” (MSC1010Y-1011Y)

Graduate students from the Department of Ecology & Evolutionary Biology (EEB) at UofT can take this course for graduate credit as well. Interested students from the EEB department should contact Prof. Helen Rodd in advance.

Physics, Astrophysics and Chemistry students can take this course as part of the mini/modular graduate courses.

This course also counts toward the SciNet’s Data Science Certificate.

Location: St.George Campus, specific room TBD.

For sign up and more information, see https://support.scinet.utoronto.ca/education/go.php/262/index.php
SCIENTIFIC COMPUTING WITH PYTHON
8 Lectures, Tuesdays and Thursdays starting Nov 15, 11:00 am – 12:00 pm

Learn about research computing even with little programming experience. Covers basics of programming in Python, best practices and visualization. The course will last 4 weeks with 2 lectures per week.

The course can be taken as a mini/modular graduate course by Physics, Astronomy and Chemistry students. This course can also be taken by students for graduate credits from the Department of Ecology & Evolutionary Biology (EEB) at the UofT. Interested students from the EEB department should contact Prof. Helen Rodd in advance.

This course counts toward the Scientific Computing Certificate and (partially) toward the High Performance Computing Certificate.

Although in-person attendance is highly preferred, SciNet users can take this course remotely by following the lectures online and submitting the assignments.

For sign up and more information, see https://support.scinet.utoronto.ca/education/go.php/264/index.php
SCIENTIFIC COMPUTING FOR PHYSICISTS
Physics graduate course (PHY1610)

Winter 2017

This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience. Despite the title, this course is suitable for many physical scientists (chemists, astronomers, …).

This course can be taken for credit by Physics graduate students, and by other graduate students that are allowed to take physics courses, however, they are strongly encourage to check this with their graduate coordinators first.

Part of this course may be given as mini-courses as well. Details on this will follow later.

This course counts toward the Scientific Computing Certificate and the High Performance Computing Certificate.

Although in-person attendance is highly preferred, SciNet users can take this course remotely by following the lectures online and submitting the assignments.

SciNet Training Events

INTRO TO SCINET
Wed 14th Sept 10:00 am – 11:30 am

The “Intro to SciNet” is a class of approximately 60-90 minutes where you will learn how to use the systems. Experienced users may still pick up some valuable pointers during these sessions.

Participation counts towards the SciNet HPC Certificate.

If you are interested to participate remotely using Google Hangout, please send an email with your gmail address to which we can send the invitation.

Location: SciNet conference room (MaRS West Tower, 11th floor)

For sign up and more information, see https://support.scinet.utoronto.ca/education/go.php/267/index.php

Future “Intro to SciNet” dates and enrollment links:
Oct 12, 10:00 am – 11:30 am: https://support.scinet.utoronto.ca/education/go.php/269/index.php
Nov 9, 10:00 am – 11:30 am: https://support.scinet.utoronto.ca/education/go.php/268/index.php
Dec 14, 10:00 am – 11:30 am: https://support.scinet.utoronto.ca/education/go.php/270/index.php
Jan 11, 10:00 am – 11:30 am: https://support.scinet.utoronto.ca/education/go.php/296/index.php
Mar 8, 10:00 am – 11:30 am: https://support.scinet.utoronto.ca/education/go.php/297/index.php
May 10, 10:00 am – 11:30 am: https://support.scinet.utoronto.ca/education/go.php/302/index.php
SCINET USER GROUP MEETING
Wed 14th Sept 12:00 pm – 1:00 pm

The SciNet Users Group (SNUG) meetings are every month on the second Wednesday, and involve pizza, user discussion, feedback, and a half-hour talk on topics or technologies of interest to the SciNet community.

Location: SciNet conference room (MaRS West Tower, 11th floor)

For sign up, see https://support.scinet.utoronto.ca/education/go.php/291/index.php

Future “SNUG” dates and enrollment links:
Oct 12, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/292/index.php
Nov 9, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/293/index.php
Dec 14, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/294/index.php
Jan 11, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/295/index.php
Feb 8, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/298/index.php
Mar 8, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/299/index.php
Apr 12, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/300/index.php
May 10, 12:00 noon – 1:00 pm: https://support.scinet.utoronto.ca/education/go.php/301/index.php
STORAGE AND I/O IN LARGE SCALE SCIENTIFIC PROJECTS
Wed 21th Sept 09:30 am – 5:00 pm

Location: SciNet classroom (MaRS West Tower, 11th floor)

Learn how to pinpoint and alleviate bottlenecks in large data-driven research projects. Techniques such as tar, compression, ramdisk, file format options, and job scheduling techniques will be covered.

For sign up, see https://support.scinet.utoronto.ca/education/go.php/265/index.php
INTRODUCTION TO THE LINUX SHELL
Wed 19th Oct 10:00 am – 1:00 pm

The Linux shell (command line, or however you want to phrase it) is the most basic Linux interface that there is. If you don’t know what the Linux shell is then you need to take this course!

In this course, you will learn the basics of how to use the Unix shell in three hours. Includes a mild introduction to bash scripting as well. This course counts toward the Scientific Computing Certificate.

Location: SciNet classroom (MaRS West Tower, 11th floor)

For sign up and more information, see https://support.scinet.utoronto.ca/education/go.php/266/index.php

SYSTEM CHANGES

Note that most software changes for the GPC also hold for Sandy and Gravity.

HPSS: If you have an HPSS account, this is now also accessible from the Globus file transfer web-interface. Globus is accessible through https://globus.computecanada.ca, where you’d login with your Compute Canada account, while the name of the HPSS endpoint is “Compute Canada HPSS”, for which you separately authenticate with your SciNet account. For more information on using Globus, see https://docs.computecanada.ca/wiki/Globus .
GPC: New web portal with records of your completed GPC jobs available for testing at https://my.scinet.utoronto.ca.
GPC: Beagle GPU-version available for testing under the use.experimental module.
GPC: Python distribution Anaconda v4.x installed as a module
GPC: VisIt version 2.10.2 installed as a module
GPC: ParaView version 5.1.0 installed as a module
GPC: Versions 15.0.6 and 16.0.3 of the Intel Compilers are installed as modules.
GPC: Version 6.0 of Allinea Forge (containing the DDT parallel debugger, the profiler MAP and Performance Reports) installed as a module.
GPC: Gromacs v. 5.1.1 installed as modules (GPU and non-GPU).
GPC: Chemistry package Cantera installed as a module.
BGQ: Upgraded compute nodes and toolchain to V1R2M4 from V1R2M2. Note that this means that when recompiling applications, one has to start from scratch (i.e., no old object files).
BGQ: Front end nodes operating system was updated to RedHat 6.7. This should not change much for users.
P8: A new P8 system with two Power-8 machines, each with two NVIDIA Tesla K80 GPUs, is available for testing. For details, see wiki.scinet.utoronto.ca/wiki/index.php/P8

WHAT ELSE HAPPENED AT SCINET IN THE SUMMER OF 2016?

April: Participation of SciNet in Science Rendezvous 2016.
May: Visualization tutorial at 2016 “Chemical BioPhysics Symposium” and Best Practices at GLBIO 2016.
June: Participation of SciNet’s personnel at Canheit-HPCS 2016 (Edmonton, Alberta), and ISC (Frankfurt, Germany).
June: Participation of SciNet’s personnel at the International HPC Summer School (Ljubljana, Slovenia)
June: Intro to SciNet
June: SciNet User Group Meeting
June 21-26: International Summer School on HPC Challenges
May/August: Participation of SciNet’s personnel at the other instance of Ontario HPC Summer School 2016 (Hamilton and Ottawa)
July 11-15: Ontario HPC Summer School 2016 – Central
August 14-19: As part of the “2016 Industrial Problem Solving Workshop” to be hosted at the Fields Institute, SciNet will provide an introduction to High Performance Computing resources, as well as support for participants who decide to tackle this problems numerical utilizing supercomputer resources.

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