Courses spring 2025: Parallel Julia

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WestDRI online course

Dates: Thursdays, March 20 (part 1) and 27 (part 2), 2025
Time: 10 am Pacific Time

Instructor: Alex Razoumov (SFU)

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Julia is a high-level programming language well suited for scientific computing and data science. Just-in-time compilation, among other things, makes Julia really fast yet interactive. For heavy computations, Julia supports multi-threaded and multi-process parallelism, both natively and via a number of external packages. It also supports memory arrays distributed across multiple processes either on the same or different nodes. In this hands-on workshop, we will start with Julia’s multi-threading features and then focus on Distributed multi-processing standard library and its large array of tools. We will demo parallelization using two problems: a slowly converging series and a Julia set. We will run examples on a multi-core laptop and an HPC cluster.

Free event open to anyone working or studying at a Canadian post-secondary institution.

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