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November,2022
9 Nov 10:00 am 11:30 am

Intro to SciNet, Niagara and Mist

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.Format: Online Zoom Meeting
SciNet Teaching Room
Show in Google mapHPC105 - Nov 2022
10 Nov 10:20 am 11:50 am

MSC1090: Lecture 18

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.
Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.
BL205
Show in Google mapMSC1090 - Fall 2022
15 Nov 9:00 am 10:30 am

MSC1090: Lecture 19

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.
Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.
GB244
Show in Google mapMSC1090 - Fall 2022
17 Nov 10:20 am 11:50 am

MSC1090: Lecture 20

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.
Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.
BL205
Show in Google mapMSC1090 - Fall 2022
21 Nov 12:30 pm 2:00 pm

Parallel Programming with MPI: Session #1

Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. Format: Online (Zoom)
Online
Show in Google mapHPC123 - Nov 2022
21 Nov 1:00 pm 4:00 pm

Intro to GIT Version Control

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, but also will be broadcast and recorded.
SciNet Teaching Room
Show in Google mapDAT161 - Nov 2022
22 Nov 9:00 am 10:30 am

MSC1090: Lecture 21

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.
Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.
GB244
Show in Google mapMSC1090 - Fall 2022
23 Nov 12:30 pm 2:00 pm

Parallel Programming with MPI - Session #2

Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. Format: Online (Zoom)
Online
Show in Google mapHPC123 - Nov 2022
24 Nov 10:20 am 11:50 am

MSC1090: Lecture 22

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.
Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.
BL205
Show in Google mapMSC1090 - Fall 2022
25 Nov 12:30 pm 2:00 pm

Parallel Programming with MPI - Session #3

Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. Format: Online (Zoom)
Online
Show in Google mapHPC123 - Nov 2022
28 Nov 1:00 pm 4:00 pm

File Management - Packing Small Files

Managing large amounts of data can be a challenging task. Processing large numbers of files incur heavy overhead of IO communications. This course explores several options such as using Apptainer Overlay and SQLite to pack and reduce a large number of files to few files, and hence, improving IO performance. Python scripts are used throughout the course.Format: On-line (Zoom).
Online
Show in Google mapDAT171 - Nov 2022
29 Nov 9:00 am 10:30 am

MSC1090: Lecture 23

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.
Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.
GB244
Show in Google mapMSC1090 - Fall 2022
December,2022
1 Dec 10:20 am 11:50 am

MSC1090: Lecture 24

The goal of this course is to prepare graduate students to perform scientific data analysis using the R programming language.  Successful students will learn how to use statistical inference and machine-learning tools to gain insight into data sets, as well as be introduced to techniques and best practises for storing, managing and analyzing data.  Topics will include: R programming, version control, modular programming, coding best practices, data analysis, machine learning and scientific visualization.
Classes will be held Tuesdays and Thursdays, 9:00-10:30am, in GB244 and BL205, respectively.
Students willing to take the course as part of their graduate program must enrol through Acorn.  This course is part of the IMS graduate program.
BL205
Show in Google mapMSC1090 - Fall 2022
12 Dec 1:00 pm 4:00 pm

Advanced Linux Command Line I

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. Format: In person, but also broadcast and recorded.
SciNet Teaching Room
Show in Google mapSCMP271 - Dec 2022
14 Dec 10:00 am 11:30 am

Intro to SciNet, Niagara and Mist

In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.Format: In-person as well as broadcast and recorded.
SciNet Teaching Room
Show in Google mapHPC105 - Dec 2022
14 Dec 12:00 pm 2:00 pm

SciNet User Group Meeting

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.
SciNet Boardroom
Show in Google mapSCMP100 - Dec 2022