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UBDA Training Course - Scalable Parallel Computing

Training Course

Poster_20_Oct_-_5_Nov
  • Date

    20 Oct - 05 Nov 2021

  • Organiser

  • Time

    10:30 - 12:00

  • Venue

     

Summary

The course is focused on highly scalable parallel computing for helping research users to effectively use GPU and multiple processing resources on UBDA platform. It covers various topics from concepts of parallel computing, a suite of packages of RAPIDS – using the NVIDIA GPUs, cuDF, cuPy, and BlazingSQL, conducting analysis of bootstraps and machine learning with GPUs, Some Python programs and exercises will be conducted with Google Colaboratory. Also, demos will be illustrated of the use of the UBDA system. Participants are expected to have basic knowledge of Python.

Course

 

Scalable Parallel Computing (Poster)

Date

 

20 Oct 2021 to 5 Nov 2021

Session activities

 
  • Parallel Processing with RAPIDS (1st online session: 20 Oct 2021, 10:30 – 12:00)
  • Overview UBDA Services and Bootstraps (2nd online session: 27 Oct 2021, 10:30 – 12:00)
  • Machine Learning with GPU (3rd online session: 3 Nov 2021, 10:30 – 12:00)
  • Consultation Hours (Face-to-face sessions at P505, 22 Oct 2021, 29 Oct 2021 & 5 Nov 2021, 11:00 – 12:00)

Registration / Quota  

 

All staff and students

100 (first come, first served via online registration)

Should you have any enquiry, please contact Dr Vincent Ng (Email: vincent.ng.comp@polyu.edu.hk) or Dr Heung Wong (Email: heung.wong@polyu.edu.hk)

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