WestGrid advanced-computing workshop series: Parallel programming in Julia
This workshop is part of the Westgrid advanced computing workshop series.
Register to receive the link. If you do not receive the link by 3 hours before the start of the workshop, please email firstname.lastname@example.org.
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 webinar, we will
start with a quick review of Julia's multi-threading features but will focus primarily on Distributed standard library
and its seemingly bewildering array of tools. We will demo parallelization using three problems: a slowly converging
series, a Julia set, and an N-body solver.
Prerequisites: Basic knowledge of programming (any language).
Software requirements: None: as we have a lot to show, we aren't expecting attendees to follow along for this workshop.
About the presenters:
Marie-Helene Burle Prior to entering the realm of computing, Marie-Helene Burle spent 15 years roaming the globe from the High Arctic to uninhabited Sub-Antarctic islands or desert tropical atolls, conducting bird and mammal research (she calls those her "years running after penguins"). As a PhD candidate in behavioural and evolutionary biology at Simon Fraser University, she "fell" into Emacs, R, and Linux. This turned Marie into an advocate for open source tools and improved computing literacy for all, as well as better coding practices and more reproducible workflows in science. She started to contribute to the open source community, became a Software and Data Carpentry Instructor, and worked at the SFU Research Commons providing programming support to researchers. She is thrilled to be continuing in this direction with HPC and new languages at WestGrid. When not behind a computer, Marie loves reading history books and looking for powder in the British Columbia backcountry on skis.
Alex Razoumov is a training and visualization coordinator in WestGrid / Compute Canada. He has a keen interest in difficult computational problems, with a PhD in computational astrophysics from the University of British Columbia and postdoctoral experience in Urbana–Champaign, San Diego, Oak Ridge, and Halifax. He has worked on numerical models ranging from galaxy formation to core-collapse supernovae and stellar hydrodynamics, and has developed a number of computational fluid dynamics and radiative transfer codes and techniques. Alex has been with Compute Canada in one role or another since 2009. He is based in Vancouver, British Columbia.
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- Thursday, May 13, 2021
- 2:00pm - 3:30pm