Upcoming SciNet Events

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May,2021
Tue 4th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Thu 6th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Mon 10th May
1:00 pm
2:00 pm
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This course is an introductory course in programming utilizing the R Statistical Language.The course is restricted to student of the UofT's Biochemistry departments. Students interested should register though their graduate coordinator. Part of Introduction to Programming with R, Location: SciNet Online
Tue 11th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Wed 12th May
10:00 am
11:30 am
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A quick introduction how to use SciNet and the Niagara and Mist supercomputers. Location: SciNet Online
Thu 13th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Tue 18th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Thu 20th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Tue 25th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Thu 27th May
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
June,2021
Tue 1st Jun
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Thu 3rd Jun
11:00 am
12:00 pm
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This six-week class will introduce 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-to-advanced concepts. The programming language will be Python 3.9; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Part of Neural Network Programming, Location: SciNet Online
Mon 14th Jun
12:30 pm
2:00 pm
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During the three days, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board. This session will be a mix of theory and practical exercises. We hope you will learn something new and, most importantly, enjoy this session! Part of Enable your research with Cybersecurity!, Location: SciNet Online
Wed 16th Jun
12:30 pm
2:00 pm
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During the three days, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board. This session will be a mix of theory and practical exercises. We hope you will learn something new and, most importantly, enjoy this session! Part of Enable your research with Cybersecurity!, Location: SciNet Online
Fri 18th Jun
12:30 pm
2:00 pm
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During the three days, we will cover different aspects of cybersecurity to help you enable your research! We will explore cybersecurity concepts, cyberattack models, as well as best practices to protect your research. We will talk about cryptography and apply the concept to a real life scenario via SSH keys. Finally, we will approach cybersecurity in the context of the Research Ethics Board. This session will be a mix of theory and practical exercises. We hope you will learn something new and, most importantly, enjoy this session! Part of Enable your research with Cybersecurity!, Location: SciNet Online
Mon 21st Jun
12:30 pm
2:00 pm
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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. Location: SciNet Online
Wed 23rd Jun
12:30 pm
2:00 pm
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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. Location: SciNet Online
Fri 25th Jun
12:30 pm
2:00 pm
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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. Location: SciNet Online
July,2021
Mon 5th Jul
12:30 pm
2:00 pm
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An introduction to basic concepts of High-Performance Computing (HPC). This is intended to be a high-level primer for those largely new to HPC. Topics will include motivation for HPC, available HPC resources, essential issues, problem characteristics as they apply to parallelism, and a high level overview of parallel programming models. Part of Introduction to Supercomputing, Location: SciNet Online
Wed 7th Jul
12:30 pm
2:00 pm
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An introduction to basic concepts of High-Performance Computing (HPC). This is intended to be a high-level primer for those largely new to HPC. Topics will include motivation for HPC, available HPC resources, essential issues, problem characteristics as they apply to parallelism, and a high level overview of parallel programming models. Part of Introduction to Supercomputing, Location: SciNet Online
Fri 9th Jul
12:30 pm
2:00 pm
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An introduction to basic concepts of High-Performance Computing (HPC). This is intended to be a high-level primer for those largely new to HPC. Topics will include motivation for HPC, available HPC resources, essential issues, problem characteristics as they apply to parallelism, and a high level overview of parallel programming models. Part of Introduction to Supercomputing, Location: SciNet Online
Mon 12th Jul
12:30 pm
2:00 pm
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Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. Location: SciNet Online
Wed 14th Jul
12:30 pm
2:00 pm
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Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. Location: SciNet Online
Fri 16th Jul
12:30 pm
2:00 pm
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Learn the basics of Message Passing Interface (MPI) programming. Examples and exercises will be based on parallelization of common scientific computing problems. Location: SciNet Online
Sun 18th Jul
1:00 pm
to Fri 30th Jul
6:00 pm
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This summer school will familiarize the best students in computational sciences with major state-of-the-art aspects of HPC for a variety of scientific disciplines, catalyze the formation of networks, provide advanced mentoring, facilitate international exchange and open up further career options. Leading Canadian, European, Japanese and American computational scientists and HPC technologists will offer instruction in parallel sessions on a variety of topics as: HPC challenges in major scientific disciplines, HPC programming proficiencies, Performance analysis and profiling, Software engineering, Numerical libraries, Big data analysis and analytics, Machine learning, Scientific visualization, and Canadian, European, Japanese and US HPC infrastructure. This events was originally planned to take place in July 2020 but has been moved to July 2021 instead.
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August,2021
Mon 9th Aug
12:30 pm
2:00 pm
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Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages. Location: SciNet Online
Wed 11th Aug
12:30 pm
2:00 pm
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Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages. Location: SciNet Online
Fri 13th Aug
12:30 pm
2:00 pm
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Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages. Location: SciNet Online
Mon 16th Aug
12:30 pm
2:00 pm
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Learn the basics of shared memory programming with OpenMP. In particular, we will discuss the OpenMP execution and memory model, performance, reductions and load balancing. Location: SciNet Online
Wed 18th Aug
12:30 pm
2:00 pm
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Learn the basics of shared memory programming with OpenMP. In particular, we will discuss the OpenMP execution and memory model, performance, reductions and load balancing. Location: SciNet Online
Fri 20th Aug
12:30 pm
2:00 pm
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Learn the basics of shared memory programming with OpenMP. In particular, we will discuss the OpenMP execution and memory model, performance, reductions and load balancing. Location: SciNet Online
Mon 23rd Aug
12:30 pm
2:00 pm
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Learn parallel programming in R, with a focus on parallel data analysis. Location: SciNet Online
Wed 25th Aug
12:30 pm
2:00 pm
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Learn parallel programming in R, with a focus on parallel data analysis. Location: SciNet Online
Fri 27th Aug
12:30 pm
2:00 pm
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Learn parallel programming in R, with a focus on parallel data analysis. Location: SciNet Online
Mon 30th Aug
12:30 pm
2:00 pm
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Debugging and profiling are important steps in developing a new code, or porting an old one to a new machine. In this session, we will discuss the debugging of frequently encountered bugs in serial code with gdb and the debugging of parallel (MPI and threaded) codes. Location: SciNet Online
September,2021
Wed 1st Sep
12:30 pm
2:00 pm
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Debugging and profiling are important steps in developing a new code, or porting an old one to a new machine. In this session, we will discuss the debugging of frequently encountered bugs in serial code with gdb and the debugging of parallel (MPI and threaded) codes. Location: SciNet Online
Fri 3rd Sep
12:30 pm
2:00 pm
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Debugging and profiling are important steps in developing a new code, or porting an old one to a new machine. In this session, we will discuss the debugging of frequently encountered bugs in serial code with gdb and the debugging of parallel (MPI and threaded) codes. Location: SciNet Online