Niagara at Scale Oct/Nov 2023

October 2, 2023 in for_press, for_researchers, for_users, frontpage, news

What is “Niagara at Scale”?

Organized since 2021, “Niagara at Scale” are events where the Niagara supercomputer is reserved for several days for large parallel computations on the order of the size of the cluster.

The fourth installment of “Niagara at Scale” event will be held from October 31st, 2023 at noon EDT until November 3rd, 2023, noon EDT.

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 September 22, 2023, with an application deadline of October 9, 2023.

Applications should include the intended computation, as well as the number, size (in nodes), and duration of the jobs to be run at scale, as well as the total required /scratch storage space, and are to be emailed to: support AT scinet DOT utoronto DOT ca. 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.

Furthermore, if you have a code that does not scale to 10,000 cores yet, but otherwise would qualify, please contact us too, as we may be able set aside some time for scaling and performance analyses in the event as well.

Future events

Niagara at Scales events are held once or twice a year. 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.

2023 Compute Ontario Summer School

May 29, 2023 in for_researchers, for_users, frontpage, news

Empower your Research: Expand Your Knowledge

We are excited to announce that registration is now open for the highly anticipated 2023 Compute Ontario Summer School! Jointly organized by the Centre for Advanced Computing, SciNet, SHARCNET, and in collaboration with the RDM Network of Experts, this virtual event promises to be an enriching experience for all participants.

Taking place from June 12 to June 29, the Compute Ontario Summer School offers a comprehensive curriculum packed with 30 courses. Delivered by experts in the field, these sessions cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), and Research Data Management (RDM). With presentations and workshops available at introductory to advanced levels, there is something for everyone.

Highlights of the Summer School include:

  • Online workshops conducted five days a week, providing ample opportunities to enhance your knowledge and skills.
  • Six hours of immersive learning each day, allowing for a deep dive into the subject matter.
  • Two parallel streams, ensuring flexibility and tailored learning experiences.
  • Workshops and presentations on advanced research computing basics, high-performance computing tools, programming languages, machine learning, visualization, programming GPUs, bioinformatics, research data management, and more.
  • Workshop difficulty levels ranging from beginner to intermediate to advanced, with prerequisites clearly outlined in each workshop description.

Whether you are interested in a specific topic or wish to explore multiple areas, you have the freedom to register for one, some, or all of the workshops available. However, please note that registration is limited, so we encourage you to secure your spot early to avoid missing out.

To register and learn more about the Compute Ontario Summer School, please visit our dedicated registration page. Be sure to act swiftly, as spaces are filling up quickly.

Further information and registration:

https://training.computeontario.ca/coss2023.php

International HPC Summer School 2023, July 9-14, Atlanta, GA

December 14, 2022 in for_educators, for_press, for_researchers, for_users, frontpage, news

Atlanta, Georgia, USA downtown skyline over Interstate 85.

Graduate students and postdoctoral scholars from institutions in Canada, Europe, Japan, Australia and the United States are being invited to apply for the 13th International HPC Summer School, to be held on July 9-14 in Atlanta, Georgia, USA, hosted by the Extreme Science and Engineering Discovery Environment (XSEDE).

In a nutshell, 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, and will offer instruction in parallel sessions on a variety of topics such as:

  • HPC and Big Data challenges in major scientific disciplines
  • Shared-memory programming
  • Distributed-memory programming
  • GPU programming
  • Software engineering
  • Big Data analytics
  • Deep learning
  • Scientific visualization

To apply and for more information, visit the event’s website at https://ss23.ihpcss.org.

The deadline for application is 23:59 Anywhere-On-Earth on January 31st, 2023.

SciNet Training 2022/2023

September 9, 2022 in for_researchers, for_users, frontpage, 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.

INTRODUCTION TO QUANTUM COMPUTING

Jun 5, 6, 7, 8, 1:00 pm – 4:00 pm EDT | https://scinet.courses/1290

An introduction to the theory, formalisms and algorithms of quantum computing. The programming language will be Python; experience with Python will be assumed. Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed. The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used. No experience with quantum computing will be expected.

Format: In-person in the SciNet Teaching Room.

Participation counts towards the SciNet Scientific Computing Certificate.

2023 COMPUTE ONTARIO SUMMER SCHOOL

June 12-29, 2023 | https://training.computeontario.ca/coss2023.php

Compute Ontario Summer School, jointly organized by SHARCNET, SciNet, Centre for Advanced Computing, and in collaboration with the RDM Network of Experts, offers a comprehensive curriculum packed with nearly 30 courses for researchers, students, and staff. These sessions are offered in two parallel streams which cover a wide range of topics including Advanced Research Computing (ARC), High Performance Computing (HPC), and Research Data Management (RDM) and are available at introductory to advanced levels. Whether you are interested in a specific topic or wish to explore multiple areas, you have the freedom to register for one, some, or all of the workshops available.

Format: Virtual

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.

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.

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

Vizualize This! Competition

October 2, 2019 in frontpage, news

Visualize This! invites researchers from all disciplines to use their own datasets — or our sample dataset — to build a unique and innovative visualization that displays an interesting aspect of the data.

Visualize What?

Now in its fourth year, Visualize This! invites researchers from all disciplines to use their own datasets — or our sample dataset — to build a unique and innovative visualization that displays an interesting aspect of the data. Our panel of judges will review all entries, and prizes will be awarded to the best submissions.

The theme of this year’s challenge is Distributed Rendering — the visualization of very large datasets that require parallel rendering on a cluster.

Visualize This! is open to anyone affiliated with a Canadian post-secondary institution (college or university) or research organization. Participants from all research fields are encouraged to enter.

Ways to Participate:

1. Use Your Own Dataset

Use data from your own research. Any dataset that is too large to be rendered on a standalone desktop/workstation will be sufficiently large for this competition.

2. Use Our Dataset

If you don’t have a large enough dataset from your own work, Joshua Brinkerhoff from UBC Okanagan will be supplying a 3D Computational Fluid Dynamics (CFD) dataset that can be used for this competition. Example visualizations of this data are featured in the imagery on this poster. Joshua’s data will be available from September 30.

Submissions Due:

November 30, 2019

For more information email viz-challenge AT westgrid.ca or visit: https://computecanada.github.io/visualizeThis.