Upcoming SciNet Events

SciNet EventsRefresh calendars Add to google calendar
September,2015
Wed 9th Sep
10:30 am
11:30 am
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Learn to use SciNet systems Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 9th Sep
12:00 pm
1:00 pm
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SNUG meetings include: pizza, user discussion and a techtalk, this time about "Research Data Management: Developments and Requirements" Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Mon 14th Sep
2:00 pm
4:00 pm
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Learn the basics of how to use the unix shell in two 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
Wed 16th Sep
12:00 pm
1:00 pm
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Compute Canada has announced its competition for 2016 compute and storage resource allocation (RAC). PIs of groups that require more than a default account, should consider submitting a proposal. The deadline is October 8, 2015. If you're new to the RAC application process, or want to know what is different this year, SciNet will hold an information session regarding the application process.Pizza will be provided, but please register so we get an idea of attendance. Part of Information Session for the 2016 Compute Canada RAC Competition, Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Mon 21st Sep
2:00 pm
5:00 pm
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Learn how to avoid I/O becoming the bottleneck in your large-scale computation; general strategies as well as true parallel I/O techniques (MPI-IO, HDF5, NetCDF, ..) will be covered in this half-day course. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
October,2015
Tue 6th Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: Ramsey Wright 143
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25 Harbord Street, Toronto, M5S 3G5, Canada
Thu 8th Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: FitzGerald Building Rm 139
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150 College Street, Toronto, M5S 3E2, Canada
Tue 13th Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: Ramsey Wright 143
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25 Harbord Street, Toronto, M5S 3G5, Canada
Wed 14th Oct
12:00 pm
1:00 pm
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This meeting will include: pizza, user discussion, feedback, and a techtalk on "Remote graphics on the GPC: client-server application and VNC. Location: SciNet Teaching Room MaRS 1140
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661 University Ave., Toronto, M5G 1M1, Canada
Thu 15th Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: FitzGerald Building Rm 139
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150 College Street, Toronto, M5S 3E2, Canada
Tue 20th Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: Ramsey Wright 143
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25 Harbord Street, Toronto, M5S 3G5, Canada
Thu 22nd Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: FitzGerald Building Rm 139
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150 College Street, Toronto, M5S 3E2, Canada
Tue 27th Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: SciNet Conference Room (old location on McCaul Street)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 29th Oct
11:00 am
12:00 pm
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Learn the basic of data research with R, in 4 weeks with 2 lectures per week (mini/modular course). Location: FitzGerald Building Rm 139
Show in Google map
150 College Street, Toronto, M5S 3E2, Canada
Thu 29th Oct
5:00 pm
6:30 pm
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An opportunity for teams of high-school student to try the emerging profession of Big Data Analytics by analysing a Big Data case. Part of Big Data Challenge for High School Students, Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
November,2015
Tue 3rd Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 4th Nov
5:00 pm
6:30 pm
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An opportunity for teams of high-school student to try the emerging profession of Big Data Analytics by analysing a Big Data case. Part of Big Data Challenge for High School Students, Location: SciNet Conference Room (old location on McCaul Street)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 5th Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: FitzGerald Building Rm 139
Show in Google map
150 College Street, Toronto, M5S 3E2, Canada
Thu 5th Nov
5:00 pm
6:00 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: Conestoga College, Kitchener (Doon) campus
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299 Doon Valley Drive, Kitchener, N2G 4M4, Canada
Mon 9th Nov
2:00 pm
4:00 pm
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As part of the 2008 Fortran standard, Coarray Fortran is a minimal extension to the Fortran language that allows distributed parallel computing, by giving access to arrays held by other processes, without explicit message passing. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Tue 10th Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: SciNet Conference Room (old location on McCaul Street)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 11th Nov
10:30 am
11:30 am
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Learn how to use the SciNet systems Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 12th Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: SciNet Conference Room (old location on McCaul Street)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Tue 17th Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: SciNet Conference Room (old location on McCaul Street)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 18th Nov
1:00 pm
3:00 pm
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Learn the basics of how to use the unix shell in two 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 19th Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: SciNet Conference Room (old location on McCaul Street)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Tue 24th Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 25th Nov
12:10 pm
1:30 pm
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The CHIME X-Engine: A 7 PetaOP supercomputer with a 6.5 Tb/s network on a budget.Andre Recnik (University of Toronto)The Canadian Hydrogen Intensity Mapping Experiment (CHIME) is currently designing a new special purpose supercomputer to correlate signals from a 1024 dual-polarization feed radio telescope in Penticton, BC. The supercomputer will accept over 6.5 Tb/s of 4+4-bit complex numbers from 128 custom FPGAs, and correlate this data on GPUs; an operation which requires about 7 peta integer operations per second. The current system design calls for 256 Intel Haswell based compute nodes, and a total of 1024 AMD Fiji XT GPUs, each with 4096 stream processors and 4GB of HBM memory. The network will consist of 1024 x 10Gb fiber Ethernet links. To reduce costs the system makes use of commodity hardware, careful software and network stack optimizations, and direct-to-chip water-cooling. I will present the current system design plans, as well as the software, hardware, and network considerations. Part of SciNet Tech Talk on The CHIME X-Engine by Andre Recnik, Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 26th Nov
11:00 am
12:00 pm
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Learn about research computing even with little programming experience. Covers basics of programming in python, best practices and visualization. The course will last 4 weeks with 2 lectures per week (mini/modular grad course). Part of Intro to Research Computing with Python, Location: FitzGerald Building Rm 139
Show in Google map
150 College Street, Toronto, M5S 3E2, Canada
December,2015
Tue 1st Dec
9:00 am
12:00 pm
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This class will introduce students to using Apache Spark on the GPC. The Python interface PySpark will used to access the Spark infrastructure. Students are encouraged to bring a laptop to the class, so as to follow along with the exercises and quizzes. Students will be introduced to the PySpark syntax and commands, techniques for loading and managing data, and various data analysis strategies. Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
Wed 9th Dec
10:30 am
12:00 pm
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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 9th Dec
12:00 pm
1:00 pm
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This meeting includes: pizza, user discussion, and a techtalk on an improved software module system for the gpc Location: SciNet Conference Room (old location on McCaul Street)
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256 McCaul Street, Toronto, M5T 1W5, Canada
January,2016
Tue 12th Jan
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
Wed 13th Jan
10:00 am
11:30 am
Add event to google
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
Thu 14th Jan
11:00 am
12:00 pm
Add event to google
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
Tue 19th Jan
11:00 am
12:00 pm
Add event to google
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 21st Jan
11:00 am
12:00 pm
Add event to google
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
Tue 26th Jan
11:00 am
12:00 pm
Add event to google
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
Wed 27th Jan
10:00 am
1:00 pm
Add event to google
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)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 28th Jan
11:00 am
12:00 pm
Add event to google
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
February,2016
Tue 2nd Feb
11:00 am
12:00 pm
Add event to google
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 4th Feb
9:00 am
4:00 pm
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An opportunity for teams of high-school student to try the emerging profession of Big Data Analytics by analysing a Big Data case. Part of Big Data Challenge for High School Students, Location: SAS Canada Headquarters
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280 King Street East, Toronto, M5A 1K7
Thu 4th Feb
11:00 am
12:00 pm
Add event to google
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
Tue 9th Feb
11:00 am
12:00 pm
Add event to google
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
Wed 10th Feb
10:00 am
11:30 am
Add event to google
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 10th Feb
12:00 pm
1:00 pm
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This meeting includes: pizza, user discussion, and a techtalk "Scientific Visualization, an overview of VisIt". Location: SciNet Teaching Room MaRS 1140
Show in Google map
661 University Ave., Toronto, M5G 1M1, Canada
Thu 11th Feb
11:00 am
12:00 pm
Add event to google
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
Tue 23rd Feb
11:00 am
12:00 pm
Add event to google
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 25th Feb
11:00 am
12:00 pm
Add event to google
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
March,2016
Tue 1st Mar
11:00 am
12:00 pm
Add event to google
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 3rd Mar
11:00 am
12:00 pm
Add event to google
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
Tue 8th Mar
11:00 am
12:00 pm
Add event to google
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
Wed 9th Mar
10:00 am
11:30 am
Add event to google
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
Thu 10th Mar
11:00 am
12:00 pm
Add event to google
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
Tue 15th Mar
11:00 am
12:00 pm
Add event to google
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 17th Mar
11:00 am
12:00 pm
Add event to google
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
Tue 22nd Mar
11:00 am
12:00 pm
Add event to google
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
Wed 23rd Mar
10:00 am
1:00 pm
Add event to google
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)
Show in Google map
256 McCaul Street, Toronto, M5T 1W5, Canada
Thu 24th Mar
11:00 am
12:00 pm
Add event to google
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
Tue 29th Mar
11:00 am
12:00 pm
Add event to google
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