June,2024 |
3 Jun 9:00 am 12:00 pmThis 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
3 Jun 9:00 am 12:00 pmRunning 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
3 Jun 1:30 pm 4:30 pmBe 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
3 Jun 1:30 pm 4:30 pmRunning 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
4 Jun 9:00 am 12:00 pmRNA-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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
4 Jun 9:00 am 12:00 pmThis 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
4 Jun 1:30 pm 4:30 pmUsing 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
4 Jun 1:30 pm 4:30 pmLong-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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
5 Jun 9:00 am 10:20 amThe 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
5 Jun 9:00 am 12:00 pmThis 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
5 Jun 10:30 am 11:50 amGoogle'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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
5 Jun 1:30 pm 2:50 pmIn 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
5 Jun 1:30 pm 4:30 pmThis 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 | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
5 Jun 3:00 pm 4:20 pmThis session provides an overview of the Research Data Management (RDM) Services offered by the Digital Research Alliance of Canada, including the DMP Assistant, a national, bilingual platform for the creation and management of data management plans (DMPs), the Federated Research Data Repository (FRDR), a bilingual publishing platform for sharing and preserving Canadian research data, and Lunaris, Canada’s national discovery service for multidisciplinary data from over 90 academic, government, and research repositories across the country. This session will introduce participants to these platforms and provide an overview of how they support the research lifecycle. Attendees will gain valuable insights into the benefits of these tools and how they can help researchers to streamline their data management workflows. Level: Introductory Length: 1.5 Hours Format: Lecture Prerequisites: None (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
6 Jun 9:00 am 12:00 pmThis workshop will help you understand the relation between storage systems and application-level performance. We will survey the design of storage found on national systems, and consider their performance implications. A range of different IO techniques, data formats, and libraries will be considered. Ideally, participants should have an account on the National Platform (DRI). Level: intermediate, examples/exercises will be in Python; having a DRAC account will be helpful. Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Alliance Account, Python Experience (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
11 Jun 9:00 am 12:00 pmThis course introduces Artificial Intelligence (AI), a science focusing on developing intelligent systems capable of autonomous behavior. In this course, we explore the exciting world of AI, introducing its definition and history. We discuss the advantages and challenges of AI in the present time, along with various applications and projects that demonstrate its capabilities. Throughout the session, participants will gain insights into different types of AI, learn about running predefined projects, and discover AI showcases on various platforms. By the end of the course, participants will have the knowledge and resources to start their own AI projects with their data, exploring the latest AI advancements in our clusters. Level: Introductory Length: 3 Hours Format: Lecture Prerequisites: Basic Python beneficial but not required (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
11 Jun 9:00 am 12:00 pmThis is an introduction to the intermediate level OpenMP hand-on course. OpenMP is a standard parallel programming API that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran. This one-day course will cover the principles of OpenMP compiler directives, library routines, and environment variables with step-by-step hand-on examples. Case studies include various approaches for loop parallelism. We will also talk about the Task constructs for irregular programs, and the Target constructs for accelerators such as GPU. Participants will have hand-on programming experience with OpenMP as well as how to compile and run Multi-thread OpenMP code on different alliance clusters. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on (Hands-on portion is CPU only.) Prerequisites: Basic knowledge of C, C++, or Fortran (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
11 Jun 1:30 pm 4:30 pmThis course provides an introduction to machine learning that enables computers to learn AI models from data without being explicitly programmed. It comprises two parts: Part I covers the fundamentals of machine learning, and, Part II demonstrates the applications of various machine methods in solving a real world problem. Rather than presenting the key concepts and components of machine learning in an abstract way, this course introduces them with a small number of examples. By using plotting and animations, insight into some of the mechanics of machine learning can be had. Furthermore, the student will gain practical skills in a case study, in which each step of developing a machine learning project is presented. By the end of this course, the student will have a solid understanding and experience with some of the fundamentals of machine learning enabling subsequent exploration. Level: Introductory to Intermediate Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: Alliance Account Data preparation or equivalent knowledge. Basic Python knowledge and experience. Knowledge and experience with Tensorflow and Scikit-learn would also be helpful. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
11 Jun 1:30 pm 4:30 pmThis is an introduction to the intermediate level OpenMP hand-on course. OpenMP is a standard parallel programming API that supports multi-platform shared-memory multiprocessing programming in C, C++, and Fortran. This one-day course will cover the principles of OpenMP compiler directives, library routines, and environment variables with step-by-step hand-on examples. Case studies include various approaches for loop parallelism. We will also talk about the Task constructs for irregular programs, and the Target constructs for accelerators such as GPU. Participants will have hand-on programming experience with OpenMP as well as how to compile and run Multi-thread OpenMP code on different alliance clusters. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on (Hands-on portion is CPU only.) Prerequisites: Basic knowledge of C, C++, or Fortran (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
12 Jun 9:00 am 12:00 pmNOTE: This course is divided into four (4) parts over three (3) days. Part I and Part II Description: Introduction of 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 concepts. (The Keras neural network framework will be used for neural network programming but no experience with Keras will be expected.) Part III Description: This part will continue the development of neural network programming approaches from Parts I and II. This part will focus on generative methods used to create images: variational auto-encoders, generative adversarial networks, and diffusion networks. Part IV Description: This part will continue the development of neural network programming approaches from Parts I through III. This part will focus on methods used to generate sequences: LSTM networks, sequence-to-sequence networks, and transformers. Level: Intermediate Length: Four 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Experience with Python (version 3.10) is assumed. Each part assumes what was covered in the previous parts of this course. Parts III and IV assume experience with neural network programming, per the first two neural network programming sessions in this course. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
12 Jun 9:00 am 12:00 pmDuring this hands-on workshop, we will introduce parallel and distributed computing in MATLAB with a focus on speeding up application codes and offloading compute. By working through common scenarios and workflows using hands-on demos, you will gain a detailed understanding of the parallel constructs in MATLAB, their capabilities, and some of the common hurdles that you'll encounter when using them. Users will learn: Multithreading vs multiprocessing When to use parfor vs parfeval constructs Creating data queues for data transfer Leveraging NVIDIA GPUs Parallelizing Simulink models Working with large data Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Working knowledge of MATLAB (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
12 Jun 1:00 pm 2:30 pmIn 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.THIS EVENT HAS BEEN CANCELED. Virtual | HPC105 - Jun 2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
12 Jun 1:30 pm 4:30 pmThis course is intended to help learners with a basic understanding of fluid dynamics and CFD bridge the knowledge gap towards the effective utilization of CFD on modern HPC architectures. This course will take an end-user approach to CFD tools on HPC systems (no coding) and, despite some prerequisites, will be given at an introductory/intermediate level (we will not cover advanced topics such as GPU or dynamic load-balancing). At the end of the course, the learner will be able to: Develop a systematic approach to estimate the HPC cost of a CFD problem. Explain the impact of modelling assumptions on HPC cost. Optimize the parameters and simulations for effective HPC usage. The course will use an entirely open source suite of CFD toolsets to mesh (Gmsh), simulate (OpenFoam/SU2), and visualize (Visit/Paraview). It should be noted that this is not a CFD course; therefore, undergraduate-level knowledge of CFD and numerical methods is expected, as well as a basic understanding of the Compute Ontario HPC system. The focus is on the effective use of CFD tools in modern HPC systems. Level: Intermediate, Length: Three 1-Hour Sessions (3 Days), Format: Lecture + Hands-on, Prerequisites: Undergraduate-level knowledge of fluid dynamics (ideally with some knowledge of turbulence), CFD, and numerical methods. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
12 Jun 1:30 pm 4:30 pmSome popular Python libraries for data analytics, like Numpy, Pandas, Scikit-Learn, etc., usually work well if the dataset fits into the RAM on a single machine. When dealing with large datasets, it could be a challenge to work around memory constraints. This course introduces scalable and accelerated data analytics with Dask and RAPIDS. Dask provides a framework and libraries that can handle large datasets on a single multi-core machine or across multiple machines on a cluster. RAPIDS, on the other hand, can accelerate your data analytics by offloading analytics workloads to GPUs with less effort in code changes. Level: Introductory Length: Two 3-Hour Sessions (2 Days) Format: Lecture + Hands-on Prerequisites: Alliance Account Basic Python and Linux command line experience. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
13 Jun 9:00 am 12:00 pmApptainer is a secure container technology designed to be used on for high performance compute clusters. This workshop will focus on how to use Apptainer as well as how to make use of tools such as Conda and Spack within Apptainer. By the end of these sessions, one: will have learnt about Apptainer and how it is installed and used on our computer clusters, how to build an Apptainer container image, how to install tools such as Conda/Spack from inside an Apptainer container shell, and, how to use Apptainer containers within job submission scripts. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: Experience using Alliance compute clusters, e.g., using the BASH shell and submitting jobs. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
13 Jun 9:00 am 12:00 pmNOTE: This course is divided into four (4) parts over three (3) days. Part I and Part II Description: Introduction of 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 concepts. (The Keras neural network framework will be used for neural network programming but no experience with Keras will be expected.) Part III Description: This part will continue the development of neural network programming approaches from Parts I and II. This part will focus on generative methods used to create images: variational auto-encoders, generative adversarial networks, and diffusion networks. Part IV Description: This part will continue the development of neural network programming approaches from Parts I through III. This part will focus on methods used to generate sequences: LSTM networks, sequence-to-sequence networks, and transformers. Level: Intermediate Length: Four 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Experience with Python (version 3.10) is assumed. Each part assumes what was covered in the previous parts of this course. Parts III and IV assume experience with neural network programming, per the first two neural network programming sessions in this course. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
13 Jun 1:30 pm 4:30 pmApptainer is a secure container technology designed to be used on for high performance compute clusters. This workshop will focus on how to use Apptainer as well as how to make use of tools such as Conda and Spack within Apptainer. By the end of these sessions, one: will have learnt about Apptainer and how it is installed and used on our computer clusters, how to build an Apptainer container image, how to install tools such as Conda/Spack from inside an Apptainer container shell, and, how to use Apptainer containers within job submission scripts. Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: Experience using Alliance compute clusters, e.g., using the BASH shell and submitting jobs. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
13 Jun 1:30 pm 4:30 pmoneAPI is a unified application programming interface intended to be used across different compute accelerator architectures, including CPUs, GPUs and AI accelerators. It's aim is to unify the programming model as well as simplifying cross-architecture development. It also provides libraries for: deep neural network (DNN) learning applications, collective communications for machine learning and deep learning projects, and, data analytics making big data analysis faster using optimized algorithms. By the end of this workshop one will have: learned about oneAPI libraries and the inference toolkit, components, and capabilities for developing and deploying computer vision and deep learning solutions, explored techniques for optimizing pre-trained deep learning models and learn how to work with models from different frameworks like Tensorflow, PyTorch and Caffe, understood how to perform inference on different hardware such as CPU and GPU, and, considered practical computer vision applications and use cases. Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Attendees having hands-on experience with Python and some experience with Tensorflow or PyTorch will get the most out of this workshop. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
14 Jun 9:00 am 12:00 pmNOTE: This course is divided into four (4) parts over three (3) days. Part I and Part II Description: Introduction of 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 concepts. (The Keras neural network framework will be used for neural network programming but no experience with Keras will be expected.) Part III Description: This part will continue the development of neural network programming approaches from Parts I and II. This part will focus on generative methods used to create images: variational auto-encoders, generative adversarial networks, and diffusion networks. Part IV Description: This part will continue the development of neural network programming approaches from Parts I through III. This part will focus on methods used to generate sequences: LSTM networks, sequence-to-sequence networks, and transformers. Level: Intermediate Length: Four 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Experience with Python (version 3.10) is assumed. Each part assumes what was covered in the previous parts of this course. Parts III and IV assume experience with neural network programming, per the first two neural network programming sessions in this course. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
14 Jun 9:00 am 12:00 pmMachine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. In this hands-on introductory workshop, you will learn how to apply Machine Learning, and get familiar with the basics of Deep Learning. MATLAB provides an environment to apply advanced techniques without requiring extensive coding nor experience in machine learning. Learn the fundamentals of machine learning (supervised learning, feature extraction, and hyperparameter tuning) Explore pre-processing and powerful visualization techniques Build and evaluate machine learning models for classification and regression of various data formats (signals, images, text) Perform hyperparameter tuning and feature selection to optimize model performance Discuss interoperability with other platforms Learn how to deploy Machine Learning models Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Working knowledge of MATLABMachine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. In this hands-on introductory workshop, you will learn how to apply Machine Learning, and get familiar with the basics of Deep Learning. MATLAB provides an environment to apply advanced techniques without requiring extensive coding nor experience in machine learning. Learn the fundamentals of machine learning (supervised learning, feature extraction, and hyperparameter tuning) Explore pre-processing and powerful visualization techniques Build and evaluate machine learning models for classification and regression of various data formats (signals, images, text) Perform hyperparameter tuning and feature selection to optimize model performance Discuss interoperability with other platforms Learn how to deploy Machine Learning models Level: Intermediate Length: 3 Hours Format: Lecture + Hands-on Prerequisites: Working knowledge of MATLAB (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
14 Jun 1:30 pm 4:30 pmNOTE: This course is divided into four (4) parts over three (3) days. Part I and Part II Description: Introduction of 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 concepts. (The Keras neural network framework will be used for neural network programming but no experience with Keras will be expected.) Part III Description: This part will continue the development of neural network programming approaches from Parts I and II. This part will focus on generative methods used to create images: variational auto-encoders, generative adversarial networks, and diffusion networks. Part IV Description: This part will continue the development of neural network programming approaches from Parts I through III. This part will focus on methods used to generate sequences: LSTM networks, sequence-to-sequence networks, and transformers. Level: Intermediate Length: Four 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Experience with Python (version 3.10) is assumed. Each part assumes what was covered in the previous parts of this course. Parts III and IV assume experience with neural network programming, per the first two neural network programming sessions in this course. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
14 Jun 1:30 pm 4:30 pmThis course is intended to help learners with a basic understanding of fluid dynamics and CFD bridge the knowledge gap towards the effective utilization of CFD on modern HPC architectures. This course will take an end-user approach to CFD tools on HPC systems (no coding) and, despite some prerequisites, will be given at an introductory/intermediate level (we will not cover advanced topics such as GPU or dynamic load-balancing). At the end of the course, the learner will be able to: Develop a systematic approach to estimate the HPC cost of a CFD problem. Explain the impact of modelling assumptions on HPC cost. Optimize the parameters and simulations for effective HPC usage. The course will use an entirely open source suite of CFD toolsets to mesh (Gmsh), simulate (OpenFoam/SU2), and visualize (Visit/Paraview). It should be noted that this is not a CFD course; therefore, undergraduate-level knowledge of CFD and numerical methods is expected, as well as a basic understanding of the Compute Ontario HPC system. The focus is on the effective use of CFD tools in modern HPC systems. Level: Intermediate, Length: Three 1-Hour Sessions (3 Days), Format: Lecture + Hands-on, Prerequisites: Undergraduate-level knowledge of fluid dynamics (ideally with some knowledge of turbulence), CFD, and numerical methods. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
17 Jun 9:00 am 12:00 pmThis is an introductory course covering programming and computing on GPUs - graphics processing units - which are an increasingly common presence in massively parallel computing architectures. The basics of GPU programming will be covered, and students will work through a number of hands on examples. 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. Level: Introductory Length: Six 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Alliance Account Basic C and/or C++ experience (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
17 Jun 9:00 am 12:00 pmLearn how to improve the performance and use parallel programming in Python. We will cover profiling, subprocess, numexpr, multiprocessing, MPI, and other performance enhancing techniques. Level: Intermediate Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisite: Some Python and Linux command line experience. (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
17 Jun 1:30 pm 4:30 pmThis is an introductory course covering programming and computing on GPUs - graphics processing units - which are an increasingly common presence in massively parallel computing architectures. The basics of GPU programming will be covered, and students will work through a number of hands on examples. 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. Level: Introductory Length: Six 3-Hour Sessions (3 Days) Format: Lecture + Hands-on Prerequisites: Alliance Account Basic C and/or C++ experience (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
21 Jun 9:00 am 12:00 pmLearn how to improve the performance and use parallel programming in Python. We will cover profiling, subprocess, numexpr, multiprocessing, MPI, and other performance enhancing techniques. Level: Intermediate Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisite: Some Python and Linux command line experience. (part of the 2024 Compute Ontario Summer School) In our digitally-driven world, databases are the cornerstone of virtually every online service and application. They help store your favourite songs on music platforms, track orders on shopping sites, and keep your personal information safe and sound. These incredible systems are the backbone of our digital universe, silently and efficiently managing the vast oceans of data that flow through our daily lives. From the social media sites we share with our friends to the online transactions that make our lives easier, databases are the unsung heroes, diligently organizing, storing, and retrieving information with remarkable precision. Whether you're a technical professional or just beginning to explore data management, the journey into the realm of databases is both enlightening and rewarding, offering endless opportunities for discovery and innovation. Together, we will explore the secrets that make our connected world tick. Level: Introductory Length: Four 3-Hour Sessions (2 Days) Format: Lecture+Hands-on Prerequisites: Basic programming knowledge Installation of MySQL on one's personal computer (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
21 Jun 9:00 am 12:00 pmBioinformatics, the interdisciplinary field at the intersection of biology and computational science, has revolutionized our understanding of life processes. In this one-day course, we will first tune your HPC knowledge/skills towards bioinformatics computing. Then a typical metagenomics pipeline will be explored to introduce common tools used in bioinformatic analysis and to show how they can be run in an HPC environment. Join us for an immersive day of hands-on exploration in the captivating world of bioinformatics and metagenomics! Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: Alliance Account Basic understanding of biology and familiarity with Unix shells (e.g. bash, zsh, etc.). (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
21 Jun 1:30 pm 4:30 pmIn our digitally-driven world, databases are the cornerstone of virtually every online service and application. They help store your favourite songs on music platforms, track orders on shopping sites, and keep your personal information safe and sound. These incredible systems are the backbone of our digital universe, silently and efficiently managing the vast oceans of data that flow through our daily lives. From the social media sites we share with our friends to the online transactions that make our lives easier, databases are the unsung heroes, diligently organizing, storing, and retrieving information with remarkable precision. Whether you're a technical professional or just beginning to explore data management, the journey into the realm of databases is both enlightening and rewarding, offering endless opportunities for discovery and innovation. Together, we will explore the secrets that make our connected world tick. Level: Introductory Length: Four 3-Hour Sessions (2 Days) Format: Lecture+Hands-on Prerequisites: Basic programming knowledge Installation of MySQL on one's personal computer (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |
21 Jun 1:30 pm 4:30 pmBioinformatics, the interdisciplinary field at the intersection of biology and computational science, has revolutionized our understanding of life processes. In this one-day course, we will first tune your HPC knowledge/skills towards bioinformatics computing. Then a typical metagenomics pipeline will be explored to introduce common tools used in bioinformatic analysis and to show how they can be run in an HPC environment. Join us for an immersive day of hands-on exploration in the captivating world of bioinformatics and metagenomics! Level: Introductory Length: Two 3-Hour Sessions Format: Lecture + Hands-on Prerequisites: Alliance Account Basic understanding of biology and familiarity with Unix shells (e.g. bash, zsh, etc.). (part of the 2024 Compute Ontario Summer School) Virtual | COSS2024![Show in Google map](https://www.scinethpc.ca/wp-content/plugins/amr-ical-events-list/images/map_16.png) |