International HPC Summer School 2018 in Ostrava, by SciNet, XSEDE, PRACE and Riken

December 22, 2017 in for_educators, for_researchers, for_users, frontpage, in_the_news, news

A High-Performance Computing Summer Institute
July 8-13, Ostrava, Czech Republic
Expenses-paid program
Apply by February 13, 2018
Website: http://ihpcss18.it4i.cz


Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States are invited to apply for the ninth International Summer School on HPC Challenges in Computational Sciences, to be held July 8 to 13, 2018, in Ostrava, in the Czech Republic, and hosted by the IT4Innovations National Supercomputing Centre.

Applications are due Feb 13, 2018. The summer school is organized by the Partnership for Advanced Computing in Europe (PRACE), the Extreme Science and Engineering Discovery Environment (XSEDE), the RIKEN Advanced Insti­tute for Computational Science (RIKEN AICS), and the SciNet HPC Consortium.

Leading computational scientists and HPC technologists from the U.S., Europe, Japan and Canada will offer instructions on a variety of topics and also provide advanced mentoring. Topics include:

  • HPC challenges by discipline
  • HPC programming proficiencies
  • Performance analysis & profiling
  • Algorithmic approaches & numerical libraries
  • Data-intensive computing
  • Scientific visualization
  • Canadian, EU, Japanese and U.S. HPC-infrastructures

The expense-paid program will benefit scholars from Canadian, European, Japanese and U.S. institutions who use advanced computing in their research. The ideal candidate will have many of the following qualities, however this list is not meant to be a “checklist” for applicants to meet all criteria:

  • Familiar with HPC, not necessarily an HPC expert, but rather a scholar who could benefit from including advanced computing tools and methods into their existing computational work
  • A graduate student with a strong research plan or a postdoctoral fellow in the early stages of their research efforts
  • Regular practice with parallel programming (i.e., student utilizes parallel programming generally on a monthly basis or more)
  • May have a science or engineering background, however, applicants from other disciplines are welcome provided their research activities include computational work.

Students from underrepresented groups in computing are highly encouraged to apply (i.e., women, racial/ethnic minorities, persons with disabilities, etc.). If you have any questions regarding your eligibility or how this program may benefit you or your research group, please do not hesitate to contact the individual associated with your region below.

Interested students should apply by February 13, 2018. Participation, meals and housing will be covered for the selected participants, also support for intercontinental travel will be given (contingent to funding).

Further information and application, see http://ihpcss18.it4i.cz.

New Courses and New Initiatives for this Coming Semester

September 2, 2017 in for_educators, for_press, frontpage, news, Uncategorized


Excited about the beginning of a new academic year?

We, at SciNet, certainly are!

SciNet has created several new courses for this coming fall semester and we are really excited about that!
Take a look at our education website to learn about all the courses and workshops that we will be offering.

In addition to the traditional courses on Scientific Computing, we have also added courses on Computational BioStatistics, Machine Learning and Neural Networks, and basic level introductory courses for students without any previous background on computing or programming!

Additionally, several members of our team have obtained Graduate restricted appointed positions at the Institute of Medical Sciences and the Physics Department!

The number of SciNet courses that are listed as U of T graduate courses continues to increase (no small feat for a non-teaching unit like SciNet). Our full-term graduate courses in 2017/2018 are

Finally, starting this September we want to officially launch our “Research Initiative Program”!

This is a collaborative program, aimed to partner with research groups across the University, in order to boost and empower research.

Of course, research support is something that we have been doing since the beginning of SciNet, by providing technical support and the infrastructure to researchers for tackling their computational needs.
This program will go beyond that, by allowing researchers to explicitly partner with SciNet’s scientists, in order to pursue short and long term research projects.

More information about this program, ongoing collaborations and areas of expertise can be found at the
Research @ SciNet page.

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.

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

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.

International HPC Summer School 2017 in Boulder, CO

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

boulder-jay-05apr2016-cropped

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.

2016 Ontario HPC Summer School – Toronto

June 2, 2016 in blog, blog-general, for_educators, for_press, for_researchers, for_users, frontpage, news

ohpcss

The 2016 Ontario Summer School on High Performance Computing is a week-long academic workshop that provides attendees with opportunities to learn and share knowledge and experiences in high performance computing, technical computing, and data science. The Ontario HPC Summer School is given in three locations, in different weeks. The first one was from May 30 to June 3 in Hamilton, the second will be in Toronto from July 11 to 15, hosted by SciNet, while a third will take place in Ottawa from August 8 to 12.

The format of the school is that of a five-day workshop with mixed lectures and hands-on sessions on a number of selected topics, including shared memory programming, distributed memory programming and general purpose graphics processing unit programming, and data science. The program varies slightly per location.

Most sessions are given in parallel. When registering for the Toronto event, you can pick the sessions you are interested in from the following schedule (note that you cannot register for only part of a session):

SCHEDULE

Monday July 11, 2016
9:30 am – 12:30 pm
single stream: Intro to high performance computing and SciNet
1:30pm – 4:30 pm
stream 1: Shared memory programming with OpenMP, part 1 of 2
stream 2: Intro to the Linux Shell

Tuesday July 12, 2016
9:30 am – 12:30 pm
stream 1: Shared memory programming with OpenMP, part 2 of 2
stream 2: R for data science
1:30pm – 4:30 pm
stream 1: Programming Clusters with MPI, part 1 of 3
stream 2: Parallel R for data science

Wednesday July 13, 2016
9:30 am – 12:30 pm
stream 1: Programming Clusters with MPI, part 2 of 3
stream 2: Python for scientific computing
1:30pm – 4:30 pm
stream 1: Programming Clusters with MPI, part 3 of 3
stream 2: Python for high performance computing

Thursday July 14, 2016
9:30 am – 12:30 pm
stream 1: Programming GPUs with CUDA, part 1 of 4
stream 2: Visualization, part 1 of 2
1:30pm – 4:30 pm
stream 1: Programming GPUs with CUDA, part 2 of 4
stream 2: Visualization, part 2 of 2

Friday July 15, 2016
9:30 am – 12:30 pm
stream 1: Programming GPUs with CUDA, part 3 of 4
stream 2: Debugging
1:30pm – 4:30 pm
stream 1: Programming GPUs with CUDA, part 4 of 4
stream 2: Bring your own code

LOCATION

This event will be held in the Mechanical Engineering Building at the University of Toronto

Wallberg Building
Rooms 116 and 119
University of Toronto
St. George Campus
184-200 College Street
Toronto, Ontario, M5S 3E5
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.

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’s 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 are to receive an 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.

MORE INFORMATION AND REGISTRATION

For more information on the sessions and for registration, please go to
www.sharcnet.ca/events/ss2016

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.

Science Rendezvous 2016

April 28, 2016 in for_educators, for_press, for_researchers, for_users, frontpage, in_the_news, news, success_story

Join us Saturday, May 7th for Science Rendezvous! It is an annual festival at the University of Toronto that takes science out of the lab and onto the street.

At the SciNet booth, explorers of all ages will find out how researchers use computers for discovery. They will see how simple computer simulations that you can run in your web browser or laptop can reveal important facts about how complex systems behave.

Click here for more details about Science Rendezvous and its many exhibitors.

SR 2016 at UofT (St. George Campus) 2

Gravitational Waves detected!!!

February 12, 2016 in blog, for_educators, for_press, for_researchers, for_users, in_the_news, news, success_story, Uncategorized

On February 11th, 2016 (10:30AM EST), scientists from Caltech, MIT and the LIGO Scientific Collaboration together with representatives of the National Science Foundation, announced in a live press conference, the first direct detection of gravitational waves.
The event detected, named GW150914, was produced by two colliding black holes, inspariling and merging together. This signal was detected by LIGO on September 14th, 2015.

Details of this discovery can be found in the following papers:

Many of the researchers running simulations and analysing data in several of our clusters are directly involved in the efforts for accurately modelling, simulating and detecting gravitational wave signals.
As a matter of fact, one of the simulations used for visualizing one of the movies screened during the announcement of the discovery of gravitational waves, was performed on SciNet’s General Purpose Cluster (GPC).

“The first detection of gravitational waves passing through Earth is a tremendous discovery. These waves were generated by never before observed astronomical objects, colliding black holes. I am very grateful for SciNet and Compute Canada to provide the computing resources needed to explore the properties of binary black holes, research that was instrumental in building the waveform-templates that LIGO used in its momentous discovery.”
Prof. Harald Pfeiffer (Canadian Institute for Theoretical Astrophysics, University of Toronto)

plane0060plane0320 plane0490 plane0590 plane0830
Simulation of a binary black-hole system emitting gravitational radiation (gravitational waves) performed on SciNet’s General Purpose Cluster (GPC).
These simulations were performed by solving Einstein’s equations of General Relativity using a code co-developed on SciNet, by the SXS/CITA collaboration.
Credit: SXS/CITA/SciNet
Another of the videos displayed on the press-conf, was also produced by solving Einstein equations using this same computer code co-developed on SciNet by the SXS/CITA collaboration.

Big Data Challenge for HighSchool Students 2016

February 12, 2016 in blog-general, for_educators, for_press, frontpage, success_story

IMG_20160204_091035 IMG_20160204_144339 IMG_20160204_144158

SciNet in partnership with STEM Fellowship (http://stemfellowship.org/), SAS and Open Data Toronto, organized the second edition of the “Big Data Challenge for High School Students”.

On Feb. 4th, the 2015/2016 Big Data Challenge for high school students took place. 8 teams from several schools across the GTA presented their research on data analytic in front of peers and judges.

Inspired by “Big Data in the City” theme, students gathered data from Open Data Toronto, analysed and investigated topics such as: immigration relocation strategies, emergency response for first responders services, identification of clusters in Toronto, environmental analysis of Toronto neighbourhoods, debt risk analysis of the city, collision patterns and prevention, data mining from social media related to energy efficient companies, among many others.

SciNet members, in addition to organize this event participated evaluating the initial proposals and judging the final 8 qualified for the final presentation.

IMG_20160204_143755

Participants of the Big Data Challenge will be participating in tours to SciNet’s datacenter, as an unique opportunity to experience and visit the home of the largest super-computers in Canada!

 

Congratulations to all the participants!!!

 

Further information can be found in the following links:

http://stemfellowship.org/bigdata

http://journal.stemfellowship.org/doi/abs/10.17975/sfj-2015-013

https://support.scinet.utoronto.ca/education/go.php/230/index.php/ib/1//p_course/230