Upcoming SciNet Events

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March,2016
Tue 1st Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP118
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60 St George St., Toronto, M5S 1A7, Canada
Thu 3rd Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP134
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60 St George St., Toronto, M5S 1A7, Canada
Tue 8th Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP118
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60 St George St., Toronto, M5S 1A7, Canada
Wed 9th Mar
10:00 am
11:30 am
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In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 10th Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP134
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60 St George St., Toronto, M5S 1A7, Canada
Tue 15th Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP118
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60 St George St., Toronto, M5S 1A7, Canada
Thu 17th Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP134
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60 St George St., Toronto, M5S 1A7, Canada
Tue 22nd Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP118
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60 St George St., Toronto, M5S 1A7, Canada
Wed 23rd Mar
10:00 am
1:00 pm
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Learn the basics of how to use the unix shell in three hours. Includes an mild introduction to bash scripting as well. Very useful for new users of SciNet that have little or no experience with Unix or Linux. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 24th Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP134
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60 St George St., Toronto, M5S 1A7, Canada
Tue 29th Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP118
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60 St George St., Toronto, M5S 1A7, Canada
Wed 30th Mar
2:00 pm
4:00 pm
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Virtual seminar by Allinea (makers of the DDT debugger) on their parallel profiling and performance tools. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 31st Mar
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP134
Show in Google map
60 St George St., Toronto, M5S 1A7, Canada
April,2016
Tue 5th Apr
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP118
Show in Google map
60 St George St., Toronto, M5S 1A7, Canada
Thu 7th Apr
11:00 am
12:00 pm
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This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in one language or another, students should already have some programming experience.Despite the title, this course is suitable for many physical scientists (chemists, astronomers, ...). Location: McLennan Physical Labs - MP134
Show in Google map
60 St George St., Toronto, M5S 1A7, Canada
Wed 13th Apr
10:00 am
11:30 am
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In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 13th Apr
12:00 pm
1:00 pm
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Bewitched, Bothered and Bewildered: Parallelism and Memory Models -- AJ Guillon (Yetiware Inc.)Without a well-defined memory model, the correct execution of a parallel program is reduced to superstition and luck. The development of modern memory models required a major industry effort that spanned computer processor architects, compiler teams, and language designers to produce the models of C++11 and OpenCL 2.0. The final result is so bewildering that only a few experts truly understand it, let alone how to use it. This talk will explain why this effort was required, why the final result is so hard to understand, and what's next.This meeting includes: pizza, user discussion, and a techtalk (TBD). Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Wed 20th Apr
9:30 am
5:00 pm
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Learn how to pinpoint and alleviate bottlenecks in large data-driven research projects. Techniques such as tar, compression, ramdisk, file format options, and job scheduling techniques will be covered. Part of Storage and I/O in Large Scale Scientific Projects, Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
May,2016
Wed 4th May
9:30 am
5:00 pm
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Principles and uses of relational databases with practical examples using python and sqlite. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 11th May
10:00 am
11:30 am
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In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers. Location: SciNet Conference Room (old location on McCaul Street)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 11th May
12:00 pm
1:00 pm
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This meeting includes: pizza, user discussion, and a techtalk on "qbatch - a tool for executing commands in parallel on clusters". Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Fri 13th May
10:00 am
1:00 pm
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This workshop is part of the 2016 Chemical BioPhysics Symposium.Basics of visualization using Python will be covered. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Mon 16th May
10:30 am
5:00 pm
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Best practices course given at GLBIO 2016. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Wed 18th May
1:00 pm
5:00 pm
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The goal is for students, new to GPGPU but familiar with programming in C, to leave being able to write simple kernels for their own problems, and understand the tools and techniques needed to improve the results. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 25th May
1:30 pm
5:00 pm
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Trends and tools in research data management. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 26th May
8:30 am
5:00 pm
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This is a collection of non-training events at, by, or just announced by SciNet. Part of General Event Announcements, Location: Chestnut Residence and Conference Centre
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89 Chestnut Street, Toronto, M5G 1R1, Canada
June,2016
Wed 8th Jun
12:00 pm
1:00 pm
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This meeting includes: pizza, user discussion, and a techtalk by Michael Wong on C++17. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Mon 20th Jun
10:00 am
5:00 pm
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Tutorial session on "Scientific Visualization with VisIt" at CANHEIT-HPCS2-16 (canheit-hpcs.ualberta.ca) Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
July,2016
Mon 11th Jul
9:00 am
to Fri 15th Jul
5:00 pm
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A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Location: Wallberg Building (UofT- St. George Campus), Rm 116
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184-200 College Street, Toronto, M56 3E5, Canada
Mon 11th Jul
9:30 am
12:30 pm
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A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
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184-200 College Street, Toronto, M56 3E5, Canada
Mon 11th Jul
9:30 am
12:30 pm
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Part of the 2016 Ontario Summer School, this half-day session will provide an introduction to basic concepts of high-performance computing. It is intended to be a high level primer for those largely new to HPC, and serve as a foundation upon which to build over the coming days. Topics will include motivation for HPC, essential issues, problem characteristics as they apply to parallelism and a high level overview of parallel programming models. Strategies of running large sets of serial processes using e.g. GNU parallel, will also be presented. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Mon 11th Jul
1:30 pm
4:30 pm
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A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Mon 11th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Tue 12th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Tue 12th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Tue 12th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Tue 12th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Wed 13th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Wed 13th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Wed 13th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Wed 13th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Thu 14th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Thu 14th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Thu 14th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Thu 14th Jul
1:30 pm
4:30 pm
Add event to google
Part of the 2016 Ontario Summer School, this two-day session is an introductory course covering programming and computing on GPUs - graphics processing units - which are an increasingly common presence in massively parallel computing architectures. This session will cover both of the available C-like programming frameworks: NVIDIA’s CUDA C. The basics of GPU programming will be covered, and students will work through a number of hands on examples. Demonstrations of profiling and debugging applications running on the GPU will also be included. The structuring of data and computations that makes full use of the GPU will be discussed in detail. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications. Location: Wallberg Building (UofT- St. George Campus), Rm 116
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184-200 College Street, Toronto, M56 3E5, Canada
Thu 14th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Fri 15th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Fri 15th Jul
9:30 am
12:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Fri 15th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 116
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
Fri 15th Jul
1:30 pm
4:30 pm
Add event to google
A week-long intensive workshop on high performance computing, parallel programming, visualization and big data. Up to 30 credits towards SciNet certificates. Part of Ontario Summer School - Central, Location: Wallberg Building (UofT- St. George Campus), Rm 119
Show in Google map
184-200 College Street, Toronto, M56 3E5, Canada
August,2016
Fri 12th Aug
9:30 am
4:30 pm
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Visualization session at the Ontario HPC Summer School East, at the University of Ottawa hosted by CAC. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Sun 14th Aug
4:00 pm
7:00 pm
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As part of the "2016 Industrial Problem Solving Workshop" to be hosted at the Fields Institute, SciNet will provide an introduction to High Performance Computing resources, as well as support for participants who decide to tackle this problems numerical utilizing supercomputer resources. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
September,2016
Wed 14th Sep
10:00 am
11:30 am
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In about 60 to 90 minutes, you will learn how to use the SciNet systems. Experienced users may still pick up some valuable pointers. Location: SciNet Boardroom MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Wed 14th Sep
12:00 pm
1:00 pm
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pizza, user discussion, and a techtalk on "Overview of 3D Scientific Visualization Tools" Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Tue 20th Sep
11:00 am
12:00 pm
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Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 22nd Sep
11:00 am
12:00 pm
Add event to google
Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Tue 27th Sep
11:00 am
12:00 pm
Add event to google
Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Tue 27th Sep
12:00 pm
1:30 pm
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Live broadcast of the Q&A session for the 2016 Visualization Challenge: "Visualize this!/Faites-nous voir ça!" competition Part of Visualization Challenge -- live Q&A session, Location: SciNet Boardroom MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 29th Sep
11:00 am
12:00 pm
Add event to google
Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
October,2016
Tue 4th Oct
11:00 am
12:00 pm
Add event to google
Explore use advanced examples of parallel computing in scientific research.This course can be taken as a mini/modular graduate course by Physics students. Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada