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Poster 20 Oct 5 Nov

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

Registration/Quota

All staff and students

100 (first come, first served via online registration)

Confirmation emails has been sent to the registrants.

Should you have any enquiry, please contact Dr Vincent Ng (Email: This email address is being protected from spambots. You need JavaScript enabled to view it.) or Dr Heung Wong (Email: This email address is being protected from spambots. You need JavaScript enabled to view it.)