Upcoming SciNet Events

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July,2021
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