SciNet Training 2022/2023

September 9, 2022 in for_researchers, for_users, news, newsletter

The following training events will be offered by SciNet in 2022/2023. Some events take place online, others are in-person in out teaching room at the SciNet offices on the St. George Campus of the University of Toronto (https://www.scinethpc.ca/contact-us/). The in-person events are usually also broadcasted and recorded.
All times below are in Eastern Time. All events listed below are free of charge. With a few execptions, these training courses can be taken for SciNet certificate credits.

To register for these events, log into https://scinet.courses with your Alliance/CCDB account, go to “Home”, select the course, and click on “Enrol me in this course”.

A number of courses may still be added later for the Winter 2023 term.
For any questions, contact

INTRO TO NIAGARA AND MIST

  1. Wed Sep 14, 10 am – 11:30 am | https://scinet.courses/1232 (online)
  2. Wed Oct 12, 10 am – 11:30 am | https://scinet.courses/1235
  3. Wed Nov 9, 10 am – 11:30 am | https://scinet.courses/1236
  4. Wed Dec 14, 10 am – 11:30 am | https://scinet.courses/1237
  5. Wed Jan 11, 10 am – 11:30 am | https://scinet.courses/1238
  6. Wed Feb 8, 10 am – 11:30 am | https://scinet.courses/1239
  7. Wed Mar 8, 10 am – 11:30 am | https://scinet.courses/1240
  8. Wed Apr 12, 10 am – 11:30 am | https://scinet.courses/1241
  9. Wed May 10, 10 am – 11:30 am | https://scinet.courses/1242
  10. Wed Jun 14, 10 am – 11:30 am | https://scinet.courses/1243

This is a class of approximately 90 minutes to introduce SciNet and the Niagara and Mist supercomputers and teach you how to use them.

Except for the September instance, these events take place in-person in the SciNet Teaching Room.

Participation counts towards the SciNet HPC Certificate.

INTRODUCTION TO APPTAINER

Mon Sep 26, 1 pm – 4 pm | https://scinet.courses/1247

Container computing is gradually changing the way researchers are developing, sharing, and running software applications. Apptainer (formerly called Singularity) is gaining popularity in HPC for its performance, ease of use, portability, and security. In this course, we will explore: what is a container, why use a container, and how to use and create one.

Format: On-line

Participation counts towards the SciNet Scientific Computing Certificate.

SCINET USER GROUP MEETING

  1. Wed Oct 12, 12 noon – 2:00 pm | https://scinet.courses/1253
  2. Wed Nov 9, 12 noon – 2:00 pm | https://scinet.courses/1254
  3. Wed Dec 14, 12 noon – 2:00 pm | https://scinet.courses/1255
  4. Wed Jan 11, 12 noon – 2:00 pm | https://scinet.courses/1256
  5. Wed Feb 8, 12 noon – 2:00 pm | https://scinet.courses/1257
  6. Wed Mar 8, 12 noon – 2:00 pm | https://scinet.courses/1258
  7. Wed Apr 12, 12 noon – 2:00 pm | https://scinet.courses/1259
  8. Wed May 10, 12 noon – 2:00 pm | https://scinet.courses/1260
  9. Wed Jun 14, 12 noon – 2:00 pm | https://scinet.courses/1261

The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet community, followed by an in-person session at the SciNet headquarters in Toronto where users can bring questions and issues.

These events take place in-person in the SciNet Teaching Room.

Topics of the TechTalks are TBA.

INTRODUCTION TO PROGRAMMING

Oct 3, 5, 10, 12, 17, 19, 24, 26 | https://scinet.courses/1233

New to programming? Learn the basics of programming using python in eight one-hour sessions over the course of four weeks. Sessions will consist of a mix of lectures and hands-on exercises.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet Scientific Computing Certificate.

INTRODUCTION TO THE LINUX COMMAND LINE

  1. Fri Oct 14, 1 pm – 4 pm | https://scinet.courses/1244
  2. Mon Jan 16, 1 pm – 4 pm | https://scinet.courses/1262

Working with many of the HPC systems (like those at SciNet) involves using the Linux/UNIX command line. This provides a very powerful interface, but it can be quite daunting for the uninitiated. In this half-day session, you can become initiated with this course which will cover basic commands. It could be a great boon for your productivity.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet Scientific Computing Certificate.

ENABLE YOUR RESEARCH WITH CYBERSECURITY!

Oct 24, 26, 29, 12:30 pm – 2:00 pm | https://scinet.courses/1245

In three sessions over the course of one week, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board. This session will be a mix of theory and practical exercises. We hope you will learn something new and, most importantly, enjoy the sessions!

The format is virtual, but for the second session there is the option to attend in person in the SciNet Boardroom to get in-person help with setting up ssh key authentication.

Participation counts towards the SciNet Scientific Computing Certificate.

PARALLEL PROGRAMMING AT SCALE WITH MPI

Nov 21, 23, 25, 12:30 pm – 2:00 pm | https://scinet.courses/1251

Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems.

Format: On-line

Participation counts towards the SciNet HPC Certificate.

INTRO TO GIT VERSION CONTROL

Mon Nov 21, 1:00 pm – 4:00 pm | https://scinet.courses/1249

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration. In this workshop, you will learn the basics of version control with the popular distributed version control software GIT. This workshop assumes that students have an understanding of basic Linux shell commands.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet Scientific Computing Certificate.

FILE MANAGEMENT – PACKING SMALL FILES

Mon Nov 28, 1:00 pm – 4:00 pm | https://scinet.courses/1248

Managing large amount of files can be a challenging task. This course explores options such as using Apptainer Overlay and SQLite to pack and reduce large number of files to few files.

Format: Online.

Participation counts towards the SciNet Data Science Certificate.

ADVANCED LINUX COMMAND LINE

Mon Dec 19 17, 1 pm – 4 pm | https://scinet.courses/1250

Working with Advanced Research Computing and High Performance Computing systems involves using the Linux command line. This workshop will cover Linux commands to improve your productivity on the command line.

Participation counts towards the SciNet Scientific Computing Certificate.

FROM PYTHON TO C++

Jan 23, 25, 27, 12:30 noon – 2:00 pm | https://scinet.courses/1263

Python is a wonderful programming language, but it is not the fastest. If execution speed is an issue for your project, it can be worthwhile moving to a so-called compiled language such as C++. This three-session workshop is intended to get Python programmers started with the basics of C++.

Format: TBD, but hopefully in-person. In any case, sessions are broadcast and recorded as well.

Participation counts towards the SciNet Scientific Computing Certificate.

MICROSOFT WINDOWS SUBSYSTEM FOR LINUX

Mon Feb 13, 1:00 pm – 4:00 pm | https://scinet.courses/1264

Windows Subsystem for Linux (WSL) is Microsoft’s implementation of Linux container on Windows. WSL allows users to run various Linux distributions inside Windows and provides fully functional Linux environments for routine tasks. This course explores the use of WSL and Docker Desktop on Windows.

Format: TBD

Participation counts towards the SciNet Scientific Computing Certificate.

INTRODUCTION TO GPU PROGRAMMING

Feb 21, 22, 24, 12:30 noon – 2:00 pm | https://scinet.courses/1266

An overview of GPUs and their use in supercomputers. This workshop will cover the basic ideas of GPU use in scientific computing and introduce several GPU programming frameworks. Prior knowledge of programming (any language) is recommended.

Format: TBD, but hopefully in-person. Sessions will be broadcast and recorded.

Participation counts towards the SciNet HPC Certificate.

LINUX SHELL SCRIPTING

Mon Mar 13, 1:00 pm – 4:00 pm | https://scinet.courses/1267

Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some linux basic command line experience.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet Scientific Computing Certificate.

HIGH PERFORMANCE PYTHON

Mon Mar 27, 1:00 pm – 4:00 pm | https://scinet.courses/1268

Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet HPC Certificate.

ADVANCED LINUX II

Mon Apr 17, 1:00 pm – 4:00 pm | https://scinet.courses/1265

GNU tools provide powerful commands that facilitate the usage of HPC systems. This course explores some efficient ways of working with bash shell for routine tasks. It is complementary to the “Advanced Linux Command Line I”. Attending this class requires basic knowledge of GNU/Linux shell.

Format: TBD

Participation counts towards the SciNet Scientific Computing Certificate.

NEURAL NETWORK PROGRAMMING

Apr 25 – Jun 1, 11:00 am – 12:00 noon | https://scinet.courses/1271

This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet Data Science Certificate.

RELATIONAL DATABASES BASICS

Mon May 29, 1:00 pm – 4:00 pm | https://scinet.courses/1270

Principles and uses of relational databases with practical examples using python and sqlite on the Niagara supercomputer.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet Data Science Certificate.

2022 Compute Ontario Summer School

May 13, 2022 in for_researchers, for_users, frontpage, news


This Summer School, jointly organized by SHARCNET, SciNet and Centre for Advanced Computing, will start on May 30th, 2022.

We are pleased to announce the 2022 Compute Ontario Summer School jointly organized by the three consortia, Centre for Advanced Computing, SciNet and SHARCNET. The Summer School is a free series of workshops on skills and technologies for compute and data intensive research delivered by advanced research computing (ARC) specialists.. 

The Summer School will begin on May 30th, 2022 and will run until August 5th, 2022 offering virtual workshops on a variety of topics, including introductory ARC basics, High Performance Computing tools, programming languages, machine learning, visualization, bioinformatics, and more. The Summer School is intended for beginner-to-intermediate participants. Prerequisites are listed in each workshop description. 

Sign up now to receive notifications to register for your favourite workshops. Registration will open two weeks prior to each workshop. Sign up for one, some, or all of the workshops in the Summer School. We look forward to hosting you this summer!


Participants are encouraged to have a user account with the Digital Research Alliance of Canada (formerly Compute Canada), both to facilitate using the digital research infrastructure in the hands-on components of the workshops, and for continued access after the summer school. Apply for an account today.

Niagara at Scale – June 2022

April 27, 2022 in frontpage, news

What is “Niagara at Scale”?

“Niagara at Scale” are events where the Niagara supercomputer is reserved for two days for large parallel computations on the order of the size of the cluster.

In 2021, SciNet held two successful “Niagara at Scale” events. Because of further demand for such large computations, another “Niagara at Scale” event will be held at the beginning of June 2022.

Purpose of “Niagara at Scale”

These events enable pre-approved projects that require all or nearly all of the capacity of the Niagara supercomputer at once. Such heroic computations are Niagara’s mandate, as it is the “Large Parallel” cluster within the national systems of the Digital Research Alliance of Canada, and one of the fastest machines of its kind in Canada according to the TOP500 List. But computations of this size — think massively parallel codes running on tens of thousands of cores — are hard or impossible to run within the regular batch scheduler.

How to apply

All Niagara users that have computations which are not trivially parallel, and can only run at such scales, are encouraged to apply to take part in this event.

Announcements of this event went out to Niagara users on April 25th, 2022, with an application deadline of May 9, 2022.

Applications should include the intended computation, as well as the number, size (in nodes), and duration of the jobs to be run at scale. Successful proposals will need to show evidence that their codes can run efficiently on at least 10,000 cores on Niagara and include strong and/or weak scaling data and plots, In addition, the codes must be able to checkpoint and restart, especially since jobs will be restricted to a shorter wall time.

Future events

There will be more Niagara at Scales events in the future. If you are a Niagara user that has massively parallel jobs or workflows that could take advantage of this opportunity, keep an eye out for future announcements.

International HPC Summer School, Greece, June 19-24, 2022

December 8, 2021 in for_researchers, for_users, frontpage, news

Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States, are being invited to apply to participate in the 12th International HPC Summer School, to be held June 19-24 in Athens, Greece, hosted by the Partnership for Advanced Computing in Europe (PRACE). To apply, visit the event’s website at https://ss22.ihpcss.org. The deadline for application is 23:59 AOE on February 14, 2022.

The summer school is sponsored by PRACE, the Extreme Science and Engineering Discovery Environment (XSEDE), the RIKEN Center for Computational Science (R-CCS) and the SciNet HPC Consortium.

The summer school will familiarize the best students in computational sciences with major state-of-the-art aspects of HPC and Big Data Analytics for a variety of scientific disciplines, catalyze the formation of networks, provide advanced mentoring, facilitate international exchange and open up further career options.

Leading Canadian, European, Japanese and American computational scientists and HPC technologists will offer instruction in parallel sessions on a variety of topics such as:

  • HPC and Big Data challenges in major scientific disciplines
  • HPC programming proficiencies
  • Performance analysis and profiling
  • Software engineering
  • Numerical libraries
  • Big data analysis and analytics
  • Deep learning
  • Scientific visualization
  • Canadian, European, 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:

  • A graduate student in computational sciences with a strong research plan or a postdoctoral fellow in the early stages of their research efforts
  • 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
  • Regular practice with parallel programming
  • Science or engineering background, however, applicants from other disciplines are welcome provided their research activities include computational work

Students from under-represented 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(s) associated with your region.

The school is currently being organised as an in-person event (no remote participation) in order to create the best experience for all attendees. Everyone from participants to staff on-site is expected to be fully vaccinated. Please refer to the COVID-19 Rules & Measures section of the School’s website for further information.

Niagara at Scale – Oct 2021

September 12, 2021 in for_press, for_researchers, for_users, news

SciNet held a successful event “Niagara at Scale” in the Spring of 2021, during which Niagara was reserved for 48 hours for large parallel computations on the order of the size of the cluster. Such “heroic computations” are Niagara’s mandate, but they are hard to run within the regular batch scheduler.

Because of further demand for such large computations, another “Niagara at Scale” event will be held for two days in October 2021. Exact dates will be announced in the near future.

Purpose of “Niagara at Scale”

These events enable pre-approved projects that require all or nearly all of the capacity of the Niagara supercomputer at once. Such heroic computations are Niagara’s mandate, as it is the “Large Parallel cluster within the national systems of the Compute Canada Federation, and the fastest machine of its kind in Canada according to the TOP500 List. But computations of this size — think massively parallel codes running on tens of thousands of cores — are hard or impossible to run within the regular batch scheduler.

How to apply

Announcements of this event went out to Niagara users on August 16, 2021, with an application deadline of September 7. The selection of participants is currently being made.

Future events

There will be more Niagara at Scales events in the future. If you are a Niagara user that has massively parallel jobs or workflows that could take advantage of this opportunity, keep an eye out for future announcements.

SciNet Virtual Summer Training Program 2021

June 2, 2021 in for_educators, for_researchers, for_users, frontpage, news

For the second summer in a row, in lieu of its annual Ontario Summer School, SciNet will be offering weekly virtual summer training on Advanced Research Computing from June through to early September. Topics will include parallel programming, Linux shell, cybersecurity, large scale batch processing, and performance Python and R.

The program will start on June 14th, 2021 and currently consists of the following 8 courses (more may be added later), each with 3 online vents of 90 minutes on successive days within one week.

  • Enable your Research with Cybersecurity!
  • Advanced Linux Command Line
  • Introduction to Supercomputing
  • Parallel Programming at Scale on Supercomputers with MPI
  • Python and High Performance Computing
  • Parallel Programming on Multicore Computers with OpenMP
  • R and High Performance Computing
  • Debugging and Performance

See the program site on the SciNet education website for further details.

Rouge AMD GPU Cluster

May 17, 2021 in news, Systems


The Rouge cluster was donated to the University of Toronto by AMD as part of their COVID-19 HPC Fund support program. The cluster consists of 20 x86_64 nodes each with a single AMD EPYC 7642 48-Core CPU running at 2.3GHz with 512GB of RAM and 8 Radeon Instinct MI50 GPUs per node.

The nodes are interconnected with 2xHDR100 Infiniband for internode communications and disk I/O to the SciNet Niagara filesystems. In total this cluster contains 960 CPU cores and 160 GPUs.

The user experience on Rouge is similar to that on Niagara and Mist, in that it uses the same scheduler and software module framework.

The cluster was named after the Rouge River that runs through the eastern part of Toronto and surrounding cities.

The system is currently its beta testing phase. Existing Niagara and Mist users affiliated with the University of Toronto can request early access by writing to support@scinet.utoronto.ca

In tandem with this SciNet hosted system, AMD, in collaboration with Penguin Computing, has also given access to a cloud system of the same architecture.

Specifics of the cluster:

  • Rouge consists of 20 nodes.
  • Each node has a 48-core AMD EPYC7642 CPU, 2-way hyperthreaded, and 8 AMD Radeon Instinct MI50 GPUs.
  • There is 512 GB of RAM per node.
  • HDR Infiniband one-to-one network between nodes.
  • Shares file systems with the Niagara cluster (parallel filesystem: IBM Spectrum Scale, formerly known as GPFS).
  • No local disks.
  • Theoretical peak performance (“Rpeak”) of 1.6 PF (double precision), 3.2 PF (single precision).
  • Technical documentation can be found at SciNet’s documentation wiki.

Industry Post-doc Position in Dynamical Downscaling

March 16, 2021 in HPC Jobs, HPC Jobs Ontario, news

Professor W. R. Peltier at the University of Toronto Department of Physics in collaboration with Aquanty invites applications for a postdoctoral research associate to investigate climate change impacts in northern Canada. The research work will include dynamical downscaling of climate projections, with an emphasis on land-surface – climate interactions in Arctic regions. The successful candidate will use the Weather Research and Forecasting (WRF) model to downscale CMIP5 and CMIP6 projections, and to assess temporal and spatial changes in snow cover and permafrost distribution. This project is part of a larger initiative to investigate the impact of climate change on natural resources across Canada, and includes partners in academia, government, and industry.

The minimum requirements for this position are:

  • A doctorate in atmospheric science, meteorology, hydrology, physics or a similar quantitative field
  • Significant experience with the Python programming language, its numerical/scientific stack (e.g. numpy, xarray etc.) and version control (e.g. git)
  • Experience with Linux/Unix environments, shell scripting (e.g. bash) and high-performance/parallel computing
  • Demonstrated ability to publish novel research

The ideal candidate would also possess the following skills and experiences:

  • Research experience with WRF or a similar limited-area atmospheric model
  • Familiarity with land-surface models like Noah-MP or CLM, and the ability to make changes or updates to these model components
  • Interest in climate change impacts and application of research results
  • Commitment to maintainable and reusable software

It is also expected that the successful candidate will contribute to the formulation of research objectives
and the design of numerical experiments, as well as towards the writing and publication of their own
research and that of project partners.

The position will be supervised by Prof. Peltier at the University of Toronto, and there will be direct
technical interaction with Aquanty researchers. Due to the applied nature of the research project,
engagement with both the research community and with natural resources stake-holder groups is
expected.

The appointment will be for a 3-year period, and it is expected that the successful candidate will be
legally able to work in Canada, and will (pending the evolution of the COVID pandemic) eventually
(re-)locate to the Greater Toronto Area in order to maintain a presence at the University of Toronto.
Interested candidates should contact Dr. Andre R. Erler at aerler@aquanty.com (using the subject line
“Post-doc Application”) and include an academic CV and cover letter.

Niagara at Scale Pilot

March 5, 2021 in blog-general, for_press, for_researchers, for_users, frontpage, news

SciNet will be reserving the Niagara cluster for two days in March for the first-ever “Niagara at Scale”, from March 30th, 2021, at 12 noon EST, to April 1st, 2021, at 12 noon EST.

Purpose of the “Niagara at Scale” event

This event will enable pre-approved projects that require all or nearly all of the capacity of the Niagara supercomputer at once. Such heroic computations are Niagara’s mandate, as it is the “Large Parallel cluster within the national systems of the Compute Canada Federation, and the fastest machine of its kind in Canada according to the TOP500 List. But computations of this size — think massively parallel codes running on tens of thousands of cores — are hard or impossible to run within the regular batch scheduler.

How to apply

We already have some groups interested in participating, but we would like to extend our invitation to the whole Canadian high-performance computing community before committing to a particular date. Users that have massively parallel jobs or workflows that could take advantage of this opportunity, are encourage to contact us at support@scinet.utoronto.ca by Friday, March 12, 2021 (note: this is an extension of the original deadline of March 5).

In the email, please briefly describe your intended computation, as well as the size and duration of the jobs you would like to run at scale.  Successful proposals will need to show evidence that their codes can run efficiently on at least 20,000 cores on Niagara and include strong and/or weak scaling data and plots.

In addition, your codes must be able to checkpoint and restart, especially since jobs will be restricted to shorter wall time.

Information session on March 10, 2021

We will hold an online information session regarding this program on March 10, 2021 at our SciNet User Group Meeting at noon EST. Attend to learn what kind of computations this program is aimed at. We will also provide guidance on how to get your computation to such a large scale if it needs it but your code does not yet scale to that size. For more information and sign-up for the event, go to https://scinet.courses/569

Future “Niagara at Scale” Events

The current event is a pilot project. If this initiative proves successful, we are planning to hold several of these events per year.

2020 International Summer School on HPC Challenges in Computational Sciences, University of Toronto, Canada, July 7-12

November 29, 2019 in for_press, for_researchers, for_users, frontpage, news


Update April 17, 2020: This event has been postponed to 2021.

Applications open November 29, 2019, and are due January 27, 2020

Who can apply: Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan and the United States, especially if you use advanced computing in your research. Students from underrepresented groups in computing are highly encouraged to apply (e.g., women, racial/ethnic minorities, persons with disabilities, etc.).

Who are the teachers: Leading computational scientists and HPC technologists from the U.S., Japan, Europe and Canada will teach classes and provide mentoring to attendees.

What will you learn: Topics include:

  • HPC challenges by discipline
  • HPC programming proficiencies
  • Performance analysis & profiling
  • Scientific visualization
  • Big Data Analytics
  • Mentoring
  • Networking
  • Machine Learning
  • Canadian, EU, Japanese and U.S. HPC-infrastructures

Preferred qualifications, but not required:

  • Familiarity 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 careers
  • Utilize parallel programming at least on monthly basis, more frequently preferred
  • A science or engineering background, however, applicants from other disciplines are welcome, provided your research activities include computational work.

Cost: School fees, meals, and housing are covered for all accepted applicants, also intercontinental flight costs.

Further information and application: https://ss20.ihpcss.org

Questions? Reach out to the contact for your region listed on the back of this page to have questions answered about eligibility, the application process, or the summer school itself.

This summer school is organized by:

            
            

Contacts

Reach out to the contact for your region listed to get questions answered about eligibility, the application process, or the summer school itself.

CANADA
SciNet HPC Consortium: www.scinethpc.ca

Ramses van Zon
SciNet, Univ. of Toronto, Canada
Email: rzon@scinet.utoronto.ca

EUROPE
PRACE: www.prace-ri.eu

Hermann Lederer Simon Wong
Max Planck Computing and Data Facility, Germany ICHEC, Ireland
Email: lederer@mpcdf.mpg.de Email: simon.wong@ichec.ie

JAPAN
RIKEN: www.r-ccs.riken.jp/en

Toshiyuki Imamura
CCS, RIKEN
Email: Imamura.toshiyuki@riken.jp

UNITED STATES
XSEDE: www.xsede.org.

Jay Alameda
NCSA, University of Illinois at Urbana-Champaign, United States
Email: alameda@illinois.edu