UBDA Training Course - Scalable Parallel Computing
Training Course
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Date
07 - 21 Jul 2021
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Organiser
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Time
14:30 - 16:00
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Venue
Summary
The course focuses 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, conversions of cuDF and cuPy, conducting analysis of bootstraps and machine learning with GPUs, and DASK. Some Python programs and exercises will be conducted with Google Colaboratory. There will also be demos to illustrate the use of the UBDA system. Please find the arrangements below.
Course |
Scalable Parallel Computing (Poster) |
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Date |
7 Jul 2021 to 21 Jul 2021 |
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Session activities |
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Registration / Quota |
All staff and research students 60 (first come, first served via online registration) |
Course Topics
- Parallel Computing with RAPIDS
- Introduction to Parallel and GPU Computing
- RAPIDS – cuDF and cuPy
- Profiling and conversions of cuDF and cuPy
- Bootstraps and Machine Learning with GPU
- Bootstrap basics
- Bootstrap regression models and dependent data
- cuML – Regression, Clustering, Dimensionality reduction
- Overview UBDA Services and DASK
- Introduction to UBDA Facility
- cuSignal, BlazingSQL, and DASK
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)