Events

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April,2024
15 Apr 1:00 pm 4:00 pm

Shell Scripting

Learn how to write bash scripts, use environment variables, how to control process, and much more. Requires some Linux basic command line experience.Note: this event has been moved from April 8th to April 15th.Format: Virtual Virtual
SCMP201 - Apr 2024Show in Google map
17 Apr 12:00 pm 1:00 pm

CO Colloquium "How to Buy a Supercomputer for Scientific Computing"

Buying a new supercomputer that both maximises total performance, given our budget, and whose architecture suits our users' workloads is a very difficult balancing act. There are a wide range of decisions to be made, such as: CPU architecture; node count; memory size/bandwidth; GPU count; interconnect type; storage size; filesystem type/bandwidth; cooling type and power budget to name but a few. In order to balance all of these constraints we need to come up with a scoring system to compare potential candidate supercomputers. In this talk we describe the Scalable System Improvement (SSI) metric and apply it to the system refresh of Niagara & Mist. Virtual
COCO - 17 Apr 2024Show in Google map
23 Apr 11:00 am 12:00 pm

DAT112: Lecture 1

Introduction to neural network programming, lecture 1
DAT112 - Apr 2024
25 Apr 11:00 am 12:00 pm

DAT112: Lecture 2

Introduction to neural network programming, lecture 2
DAT112 - Apr 2024
30 Apr 11:00 am 12:00 pm

DAT112: Lecture 3

Introduction to neural network programming, lecture 3
DAT112 - Apr 2024
May,2024
2 May 11:00 am 12:00 pm

DAT112: Lecture 4

Introduction to neural network programming, lecture 4
DAT112 - Apr 2024
7 May 11:00 am 12:00 pm

DAT112: Lecture 5

Introduction to neural network programming, lecture 5
DAT112 - Apr 2024
8 May 1:00 pm 2:30 pm

Intro to Niagara

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: Virtual Virtual
HPC105 - May 2024Show in Google map
9 May 11:00 am 12:00 pm

DAT112: Lecture 6

Introduction to neural network programming, lecture 6
DAT112 - Apr 2024
13 May 1:00 pm 4:00 pm

Relational Databases

Principles and uses of relational databases with practical examples using python and sqlite on the Niagara supercomputer.Prerequisites: Some Linux command line experience.  Python experience is strongly advised. Format: Virtual Virtual
SCMP231 - May 2024Show in Google map
14 May 11:00 am 12:00 pm

DAT112: Lecture 7

Introduction to neural network programming, lecture 7
DAT112 - Apr 2024
16 May 11:00 am 12:00 pm

DAT112: Lecture 8

Introduction to neural network programming, lecture 8
DAT112 - Apr 2024
21 May 11:00 am 12:00 pm

DAT112: Lecture 9

Introduction to neural network programming, lecture 9
DAT112 - Apr 2024
23 May 11:00 am 12:00 pm

DAT112: Lecture 10

Introduction to neural network programming, lecture 10
DAT112 - Apr 2024
27 May 1:00 pm 4:00 pm

Bash idioms, awk, etc.

This workshop explores various concise and useful constructs for working with bash shell. The goal is to improve your shell skills. Attending this class requires some basic GNU/Linux command line experience.Format: Virtual
SCMP281 - May 2024
28 May 11:00 am 12:00 pm

DAT112: Lecture 11

Introduction to neural network programming, lecture 11
DAT112 - Apr 2024
30 May 11:00 am 12:00 pm

DAT112: Lecture 12

Introduction to neural network programming, lecture 12
DAT112 - Apr 2024
June,2024
3 Jun 9:00 am 12:00 pm

CO Summer School S1: Introduction to Linux shell (morning session)

Running programs on the supercomputers is done via the BASH shell. This course is two three hour live demos on using bash. No prior familiarity with bash is assumed. In addition to the basics of getting around, globbing, regular expressions, redirection, pipes, and scripting will be covered. A series of exercises are required to be done in order to complete the course. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
3 Jun 9:00 am 12:00 pm

CO Summer School S2: Data Preparation

This course provides you with essential knowledge and skills to effectively prepare data for analysis. Starting with an overview of the Data Analytics pipeline and processes, the course explores various statistical and visualization techniques used in Exploratory and Descriptive Analytics to understand historical data. You will then delve into the art of Data Preparation, gaining expertise in data cleaning, handling missing values, detecting, and handling outliers, as well as transforming and engineering features. By the end of the course, you will be equipped with the necessary tools to ensure data quality and integrity, enabling you to make informed decisions and derive valuable insights from their data. Level: Introductory Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Basic Python (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
3 Jun 1:30 pm 4:30 pm

CO Summer School S2: Data Security

Be aware. Stay secure. Join us to learn more about the tools you can use to prevent the theft of your data and possibly of your identity. Other topics of discussion will include common hacking attempts, how to recognize them, and how to avoid having your data compromised, stolen, or destroyed. We will also talk about data encryption and provide tips for when travelling with electronic devices. Level: Introductory Length: 3 hours Format: Lecture Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
3 Jun 1:30 pm 4:30 pm

CO Summer School S1: Introduction to Linux shell (afternoon session)

Running programs on the supercomputers is done via the BASH shell. This course is two three hour live demos on using bash. No prior familiarity with bash is assumed. In addition to the basics of getting around, globbing, regular expressions, redirection, pipes, and scripting will be covered. A series of exercises are required to be done in order to complete the course. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
4 Jun 9:00 am 12:00 pm

CO Summer School S2: Bioinformatics: Analysis of RNA-sequencing data

RNA-Seq refers to high throughput sequencing methods that probes the entire transcriptomic landscape of a given tissue or sample of interest. The data acquired from such experiments can be used to explore the overall RNA profile of a sample as well as comparing samples under various conditions. While extremely powerful, RNA-Seq is susceptible to numerous experimental pitfalls and requires intimate knowledge of the experimental procedures and data analysis methods. When conducted properly RNA-Seq can reveal information about gene/transcript expression, splicing and the effects of mutations. In this session we will take a thorough look at a comprehensive RNA-Seq pipeline, from sample processing methods to final differential expression analysis. Relevant R / BioConductor packages will be introduced. We will have the opportunity to investigate numerous quality control metrics, perform genomic alignment, differential expression and pathway enrichment analysis. We will cover several “gotcha”s and common mistakes in experimental design and data analysis. Basic familiarity with R and Linux command line will be beneficial but not required. All necessary commands and parameters will be explained during the class. Participants will be offered hands-on practice in which they will use RStudio to run R/BioConductor scripts for data analysis as well as the Integrative Genomic Viewer (IGV) software to visualize genomic data on their laptops Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Basic R and Linux beneficial but not required (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
4 Jun 9:00 am 12:00 pm

CO Summer School S1: Introduction to Advanced Research Computing

This workshop is a primer for those largely new to supercomputing, i.e., to computing on shared, remote resources. It is intended to demystify the somewhat intimidating term "High-Performance Computing" (HPC), and to serve as a foundation upon which to build over the coming days. Topics will include motivation for HPC, available resources, essential issues, and a high level overview of parallel programming models commonly used on these systems. Level: Introductory Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Basic Linux e.g. "Introduction to Linux Shell" (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
4 Jun 1:30 pm 4:30 pm

CO Summer School S2: Bioinformatics: Long-read sequencing applications

Long-read sequencing technologies enable the sequencing of DNA fragments 10KB and longer. This read length greatly improves sequence mappability and assembly, providing an advantage over short-read sequences that are difficult to map uniquely to repetitive and GC-rich regions. Long-read sequencing has applications in a number of fields including genome assembly, diagnosis of genetic diseases, and metagenomics. In this workshop, we will focus on PacBio HiFi sequences and introduce you to tools for haplotyping, calling and visualizing structural variants and repeat expansions, visualizing read methylation, and detecting novel isoforms from PacBio Iso-Seq data. Participants will be offered hands-on practice in which they will use RStudio to run R/BioConductor scripts for data analysis as well as the Integrative Genomic Viewer (IGV) software to visualize genomic data on their laptops Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Basic R (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
4 Jun 1:30 pm 4:30 pm

CO Summer School S1: Introduction to Version Control with Git

Using version control for your scripts, codes, documents, papers, and even data, allows you to track changes, keep backups, and facilitate collaboration. This introductory workshop will teach you 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. Level: Introductory Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Basic Linux (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
5 Jun 9:00 am 12:00 pm

CO Summer School S1: Introduction to Python (morning session)

This course is designed to provide you with a solid foundation in Python programming language. Through a comprehensive curriculum and hands-on coding exercises, participants will learn the fundamentals of Python syntax, data types, functions, and file handling. By the end of the course, you will have gained the essential skills to write Python programs, solve problems, and build the foundation for more advanced Python development. Whether you are a beginner or have some programming experience, this course will equip you with the necessary tools to start your journey in Python programming. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
5 Jun 9:00 am 10:20 am

CO Summer School S2: Research Data Management: Rationale for Reproducibility

The role of good research data management practices in supporting research reproducibility is becoming increasingly well known. The literature is replete, however, with examples of poor methodology, lack of transparency, mistakes, and misconduct leading to bad science and an inability to reproduce results. This introductory session will provide real-world, illustrative examples of each of these, along with practical suggestions on how to avoid them. Level: Introductory Length: 1.5 Hours Format: Lecture Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
5 Jun 10:30 am 11:50 am

CO Summer School S2: From the I-Ching to ChatGPT: A Brief History of AI and Some Historical and Current Applications

Google's 2017 research paper "Attention Is All You Need" described the transformer, a new machine learning technique. From that paper the modern Large Language Model was born, and we're now living in the thick of a new era brought on by companies like OpenAI, Mistral and Anthropic. But where does this cutting-edge technology come from? What are its roots? What are its problems? This talk explores the history of procedural generation in text and games, from the I-Ching to tranformer-based language models and beyond. The talk will emphasize current state of the art in text-based language models, and include demonstrations on how to run language models locally on your own hardware. Level: Introductory Length: 1.5 Hours Format: Lecture Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
5 Jun 1:30 pm 2:50 pm

CO Summer School S2: Using generative AI tools for research data management

In this workshop, we will explore the potential uses of generative artificial intelligence tools in research data management (RDM) with a focus on specific use cases. For example, can AI tools be used to write Data Management Plans, summarize funder requirements, assist with data analysis, or suggest file naming conventions and folder structures? This workshop will be interactive, and participants will be welcome to practice using AI tools along with the presenters using real-world data and prompts. We will also discuss the ethical considerations, including benefits and risks, of using AI tools in research and whether it is possible to use AI for RDM practices in an ethical manner. Level: Introductory Length: 1.5 Hours Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map
5 Jun 1:30 pm 4:30 pm

CO Summer School S1: Introduction to Python (afternoon session)

This course is designed to provide you with a solid foundation in Python programming language. Through a comprehensive curriculum and hands-on coding exercises, participants will learn the fundamentals of Python syntax, data types, functions, and file handling. By the end of the course, you will have gained the essential skills to write Python programs, solve problems, and build the foundation for more advanced Python development. Whether you are a beginner or have some programming experience, this course will equip you with the necessary tools to start your journey in Python programming. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual
COSS2024Show in Google map