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GPU programming using Julia – A practical intro webinar

Nov 21 • 12:00 – 13:30 CET

Registrations are closed for this event.

About the webinar

In this webinar, we focus on GPU-accelerated computing with Julia, one of the most popular high-level, general-purpose dynamic programming languages for science, engineering, data analytics, and deep learning applications. Starting from the basic syntax of Julia, we will span topics on multiple-dispatch paradigm, metaprogramming, and then additional special features of Julia for classic machine learning and deep learning, with a focus on their unique features and capabilities for high-performance computing.

In the past decade, Graphics Processing Units (GPUs) have ignited the dynamic evolution of data science. But GPUs can do a lot more than machine learning – these powerful devices can accelerate and massively parallelise any general-purpose computational load in domains involving big data and heavy number crunching. You can use the GPU in your personal computer, or scale up your application to run on a supercomputer. How can you get started?

Who is the webinar for?

The GPU programming using Julia webinar is for data scientists, software developers and researchers who are:

  • already familiar with one or more programming languages (Python, R, C/C++, Fortran, Matlab,…) but want to add a new exciting high-level yet performant language to their repertoire,
  • need to analyze big data or perform computationally demanding modelling or analyses,
  • might be mixing a high-level and a low-level language for performance reasons but want to make their life easier.

Key takeaways

After attending this seminar, you will be able to:

  • Be familiar with several Julia libraries for scientific modelling, visualization, and machine learning
  • Have an overview of Julia’s parallelization and GPU-porting strategies and the know-how to start using them
  • Make informed decisions about your GPU workflows

Lesson material

The ENCCS Practical Intro webinar series aims to provide concise and condensed introductions to key topics in high-performance computing and related technologies. Webinar materials, such as notebooks and code examples, are made available online on GitHub.

For more thorough tutorials and self-study materials, please visit the library of ENCCS lessons (https://enccs.se/lessons/).

Speakers

  • Francesco Fiusco (RISE/ENCCS)
  • Yonglei Wang (LiU/ENCCS)

Registration

Register by visiting this link https://events.prace-ri.eu/event/1580/registrations/1142/

Restrictions

Due to EuroCC2 regulations, we CAN NOT ACCEPT generic or private email addresses. Please use your official university or company email address for registration.

This training is intended for users established in the European Union or a country associated with Horizon 2020. You can read more about the countries associated with Horizon2020 here https://ec.europa.eu/info/research-and-innovation/statistics/framework-programme-facts-and-figures/horizon-2020-country-profiles_e

Free

ENCCS

Online

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