Parallelizing Data Science With Julia

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This is the fourth talk in the series introducing the high level, high performance language This lecture gives an introduction to multithreading (programming shared memory A webinar hosted by PGC's Core Facility for Bioinformatics (CFB) featuring Dr. Paulito Palmes from the IBM Dublin Research Lab, ... WestGrid webinar For information on other WestGrid events WestGrid on  ... JuliaDB integrates with OnlineStats to provide scalable single pass algorithms (that can run in This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and ...

We present a straightforward approach for distributed Description Developed at MIT, with a focus on fast numerical computing,

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Parallel Computing with Julia, illustrated by numerical linear algebra and Monte Carlo simulation
#PGCTalks2021 Webinar: High Performance Computing and Data Science Workflow in Julia
Parallel Julia webinar
JuliaCon 2020 | Sponsor Talk: Effortless Parallel Computing on JuliaHub | Julia Computing
Scalable Data Science With JuliaDB and OnlineStats | Josh Day | JuliaCon 2018
Julia Solutions : Basic Concepts of Parallel Computing | packtpub.com
Distributed Parallelization of xPU Stencil Computations in Julia | S. Omlin, L. Räss | JuliaCon 2022
David Higgins, Robert Schwarz - Introduction to Julia for Scientific Computing and Data Science
Shared memory parallelism in Julia | Kiran Pamnany | Cambridge Julia Meetup (May 2018)

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Last Updated: June 14, 2026

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Famous Parallelization, Random Numbers and Reproducibility | Phillip Alday | JuliaCon 2020 Profile
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Parallel Julia webinar

WestGrid webinar For information on other WestGrid events https://www.westgrid.ca/events​ WestGrid on Twitter ...