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International HPC Summerschool 2016 in Slovenia

December 16, 2015 in blog, for_educators, for_researchers, for_users, frontpage, news, Uncategorized

Apply by 15 February 2016, decisions on March 9, 2016
Expenses-paid program
Sponsored by PRACE, XSEDE, Riken, and Compute Canada
website: http://ihpcss2016.hpc.fs.uni-lj.si/

The seventh International Summer School on HPC Challenges in Computational Sciences will be held from June 26-July 1, 2016, Ljubljana, Slovenia. This is an advanced summer school on High Performance Computing which targets graduate students and postdocs 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. Although the school targets graduate students and postdocs, applications from research assistants and faculty are also welcome. Preference will be given to applicants with parallel programming experience, and a research plan that will benefit from the utilization of high performance computing systems.

Applications are due by February 15, 2016.
For further information and to apply online, please click here .

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International HPC Summer School in Toronto

June 29, 2015 in blog, blog-general, for_educators, for_researchers, for_users, in_the_news, news, success_story

Eighty students from the US, Canada, Europe and Japan, plus about twenty speakers and over thirty mentors gathered at the University of Toronto from June 21 to June 26, 2015, to learn about High Performance Computing, and share experiences in this multi-disciplinary field (see https://ihpcss2015.computecanada.ca). Sponsored by PRACE, XSEDE, Riken, and Compute Canada , this was the sixth such advanced international summer school on High Performance Computing, which targets graduate students and postdocs who already have some experience in HPC parallel programming (for instance, MPI, OpenMP, or CUDA/OpenCL), preferably on software used in successful research projects.

Leading American, Canadian, European and Japanese computational scientists and HPC technologists offered instruction on a variety of topics, including HPC programming proficiencies, performance analysis, and visualization, as well as presentations of how HPC gets applied in fields such as geophysics, climate science, material science, cosmology, plasma phyiscs, and life sciences.

SciNet, a partner in the Compute Canada endeavour, was encited to be the local organization of this large international event.
It was an engaging week of instruction and networking that we hope has given the participants the skills and inspiration to use HPC resources to explore scientific projects at new and unprecedented scales.

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“Summer at SciNet”: high-school mentorship program at SciNet HPC Consortium

June 2, 2015 in for_educators

“Summer at SciNet”: high-school mentorship program at SciNet HPC Consortium

We are pleased to announce the introduction of a new high-school mentorship program: “Summer at SciNet”.
This program will allow secondary school students, with a natural curiosity and interest in high performance computing, data analysis techniques and related topics, to spend part of the summer (July-August 2015) discussing and developing their own projects under the supervision of SciNet’s staff.

Those interested in having a mentor during this summer should write an email to courses@scinet.utoronto.ca .
They have to include a CV and a one-page proposal, indicating what kind of project they would like to develop, as well as their computational expertise (e.g. languages, experience in parallel programming, courses taken, etc.). Proposals can be individual, or by teams of two participants at most.
The deadline for applications is June 21st, 2015.

Examples of potential areas of interest for projects are: parallel programming using shared memory architectures (eg openMP), parallel programming using distributed memory (MPI), data mining and data analysis using python or R, studies of complex networks simulating real-life problems, etc.

This year, we are planning to have few spots available, and the successful candidates will be announced by June 25th.
The meetings will be on a weekly or bi-weekly basis, depending on the progress and interest in the project from the mentees, and the scope will be to discuss and advise the participant on ways to develop and achieve the goals proposed in the original project. The successful projects will include access to the SciNet high performance computational systems, for the duration of the projects.

Please feel free to distribute this information to all the people you think may be interested in this opportunity, and do not hesitate to contact us (courses@scinet.utoronto.ca) if you have any questions.

See you this summer!
The SciNet Team

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2015 Ontario HPC Summer School Registration Opened

May 29, 2015 in blog, for_educators, for_researchers, for_users, frontpage, news

The Ontario Summerschool on High Performance Computing provides attendees with opportunities to learn and share knowledge and experience in high performance, technical, and data-centric computing. The Ontario Summerschool on High Performance Computing will have three installments. The first will be in London (May 25-29), the second in Toronto (July 9-13), hosted by SciNet, while the third will be held in Kingston (July 27-31).

The format of the Toronto installment will be a five-day workshop with mixed lectures and hands-on sessions on a number of selected subjects, including shared memory programming, distributed memory programming, and general purpose graphics processing unit programming. To incorporate this many topic, the summer school has two parallel streams throughout, from which you can pick and choose.

SESSIONS

Linux command line: a primer
Introduction to High Performance Computing
Shared memory programming with OpenMP
Distributed memory programming with MPI
General Purpose GPU Programming with CUDA
Data Analysis with R
Parallel R
Scientific Computing with Python
Python for High Performance Computing
HPC optimization and debugging
Visualization

LOCATION

This event will be held in the Galbraith building, University of Toronto, 35 St. George Street, Toronto, Ontario M5S 1A4.

CERTIFICATE

Participants that complete more than three days worth of instruction will be given an Ontario Summerschool Certificate. Note that this certificate is separate from the SciNet certificates.

MORE INFORMATION AND REGISTRATION

For more information and (free) registration, please go to the website for all three installments:

https://www.sharcnet.ca/events/ss2015/

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Announcing SciNet’s Data Science Certificate Program

May 29, 2015 in for_educators, for_press, for_researchers, for_users, frontpage, news, Uncategorized

SciNet is pleased to announce the addition of a new certificate program, focused on Data Science.

As many of you know, SciNet not only provides compute cycles and storage, but also offers a wide range of education and training sessions. Users can already get a SciNet certificate in Scientific Computing or High Performance Computing when they have taken enough courses on those topics.

To reflect the growing trend in data-driven science, SciNet is now adding a new Certificate program, focused on Data Science.

To earn the SciNet Certificate in Data Science, users or students need to take at least 36 credit-hours of data science related SciNet courses such as “Hadoop workshop”, “Scalable data analysis with R / Python”, “Database Basics”, “Visualization”, and “Machine Learning”. Future courses on e.g. NoSql, statistics, and i/o and workflow, are being planned for the next academic year. Some parts of the upcoming Ontario Summer School Central to be held in Toronto in July at the University of Toronto, will count toward this certificate as well. See herefor details and registration regarding the summer school.

For other SciNet courses, you can register for on our education site, which will keep track of your progress in this new certificate, as well as for the other two certificates.

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Big Data Challenge Day for High School Students

February 24, 2015 in for_educators, for_press, frontpage, in_the_news, news, Uncategorized

SciNet, SAS, the computer science department at Earl Haig Secondary School in Toronto, and NRC Research Press organized a Big Data Challenge for High School Students in 2014. Selected teams presented their analysis of a real data set of grocery purchases for the jury on Friday February 13, 2015. The winners were the team from Oakville-Trafalgar High School.

Read the full article at the University of Toronto News.

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International HPC Summer School 2015

January 20, 2015 in blog, for_educators, for_press, for_researchers, for_users, frontpage

Apply by 11 March, decisions on 1 April
Expenses paid by program
Sponsored by PRACE, XSEDE, Riken, and Compute Canada
website: https://ihpcss2015.computecanada.ca

The sixth International Summer School on HPC Challenges in Computational Sciences will be held from June 21-26, 2015, in Toronto, Canada. This is an advanced summer school on High Performance Computing which targets graduate students and postdocs 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. SciNet, a partner in the Compute/Calcul Canada national advanced research computing platform, acts as the local organizer and contact.

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

Applications are due by March 11, 2015.
For further information and to apply online, please click here .

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2015 Call for Compute Canada Resource Allocation Proposals

September 17, 2014 in blog, blog-general, for_educators, for_researchers, for_users

Compute Canada is announcing the launch of the 2015 Resource Competitions. In addition to the familiar Resource Allocation Competition (RAC), there are two other opportunities to access Compute Canada resources including the Fast Track and the NEW Research Platforms and Portals (RPP) Competition.

I invite you to consult the Compute Canada website for additional details on these three opportunities and to be mindful of the deadlines below. If you have any questions please contact rac@computecanada.com.

Resource Allocation Application Deadlines

Resource Opportunity	Deadline
Fast Track	October 2^nd, 2014
Resource Allocation Competition	October 20^th, 2014
Research Platform and Portal Competition (Letter of Intent)	September 25^th, 2014

Background: Compute Canada is leading the creation of a powerful national Advanced Research Computing (ARC) platform for research. This national platform integrates ARC resources at six partner consortia across the country to create a dynamic computational resource. Compute Canada integrates high-performance computers, data resources and tools, and academic research facilities around the country. These integrated resources represent a substantial computing capability and online and long term storage with rapid access and retrieval over Canada’s national, provincial and territorial high-performance networks.

————————————————————————————-

Calcul Canada annonce le lancement de son concours d’allocation des ressources pour l’année 2015. En plus du Concours d’allocation des ressources (CAR) régulier, il existe désormais deux autres moyens d’obtenir des ressources, à savoir la procédure de demande accélérée et le NOUVEAU Concours plateformes et portails de recherche (PPR).

Je vous convie à visiter le site Web de Calcul Canada pour obtenir plus de précisions sur chacun de ces trois opportunités, en gardant à l’esprit les échéances indiquées ci-dessous. Pour toute question, écrivez à rac@computecanada.com.

Échéances pour l’affectation des ressources

Possibilité	Échéance
Demande accélérée	2 octobre 2014
Concours d’allocationdes ressources	20 octobre 2014
Concours plateformes et portails de recherche (lettre d’intention)	25 septembre 2014

Contexte: Calcul Canada orchestre la création d’une puissante plateforme de CIP nationale pour la recherche. Cette plateforme rassemble les ressources de CIP de six consortiums partenaires situés un peu partout au pays de manière à en créer une seule, dynamique, intégrant des ordinateurs de haute performance, des banques de données et leurs outils ainsi que des installations de recherche universitaires réparties aux quatre coins du Canada. Combinées, ces ressources représentent une capacité de calcul appréciable à laquelle s’ajoutent des capacités de stockage en ligne et de longue durée. Il est possible d’y accéder et de les utiliser rapidement grâce aux réseaux de pointe national, provinciaux et territoriaux.

Tags: 2015 RAC allocation, Calcul Canada, compute canada, d’allocation des ressources pour l’année 2015, scinet
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McMaster Students Create Fractal Movies Using BlueGene/Q Supercomputer

May 30, 2014 in blog, blog-general, for_educators, for_press, frontpage, in_the_news, news, Uncategorized

$superfractals$

Computing and software students at McMaster University created some stunning videos of fractals using the BlueGene/Q, one of the most powerful computers in the world, administered by SOSCIP and hosted by SciNet.

Read the full articles on McMaster University’s Daily News’ or on HPC wire.

The videos can be seen on YouTube.

Details on the SCOSCIP BlueGene/Q at SciNet can be found on our wiki.

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International Summer School 2014 on HPC Challenges

February 13, 2014 in blog, blog-general, for_educators, for_researchers, for_users, news

Apply by 9 March, decisions in early April
Expenses paid by program
Sponsored by PRACE, XSEDE, Riken, and Compute Canada
website: http://summerschool.niif.hu

Compute Canada/Calcul Canada invites students and researchers at Canadian post-secondary institutions to apply for one of 10 spots allocated to Canada for the fifth International Summer School on HPC Challenges in Computational Sciences. This is a great opportunity for Canadian students and postdocs to attend an Advanced Summer School on High Performance Computing Challenges, all expenses paid.

The workshop is aimed primarily at graduate students or postdocs; however, junior faculty or advanced undergraduates are also welcome to apply. Attendees will be expected to have some experience in HPC parallel programming (for instance, MPI, OpenMP, or CUDA/OpenCL), preferably on software used in successful research projects, and must be at least 18 years of age at time of application. Attendees from all disciplines are invited to participate.

The summer school is sponsored by the European Union Seventh Framework Program’s Partnership for Advanced Computing in Europe Implementation Phase project (PRACE-3IP), U.S. National Science Foundation’s Extreme Science and Engineering Discovery Environment (XSEDE) project, RIKEN Advanced Institute for Computational Science (RIKEN AICS), and Compute Canada / Calcul Canada.

Leading American, Canadian, European and Japanese computational scientists and HPC technologists will offer instruction on a variety of topics, including:

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

The expense-paid program will benefit advanced scholars from European, Canadian, Japanese and U.S. institutions who use HPC to conduct research. Interested students should apply by March 9, 2014.

Meals, housing, and travel from Canada, Japan and the U.S. will be covered for the selected participants. Applications from students in all science and engineering fields are welcome. Preference will be given to applicants with parallel programming experience, and a research plan that will benefit from the utilization of high performance computing systems.

For further information and to apply online, please click here .

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