High Performance and Parallel Python on HPC

Training and support for researchers using RCS services.

Research Computing Services

Learn High Performance and Parallel Python on HPC with this training from Research Computing Services at the University of Melbourne.

Your trainer for this workshop is Lev Lafayette from Research Computing Services.About this Event:Python is a very popular programming language that provides an object-orientated approach that is extendable and places readability as a priority. However, its integration into a HPC environment does generate confusion, and its performance is generally somewhat less than optimal. This workshop will explain how Pyhton is implemented in Spartan in terms of versions, core modules, and extensions, and local installations. Further, it will examine some of the main changes that one can make to Python code to improve performance, as well as adapting existing Python serial code to different types of parallelisation with job arrays, multithreading extensions, and message passing extensions.This workshop is designed for people who have prior experience with HPC (the Spartan Essentials workshop is requisite) and assumes some prior knowledge of Python. Please bring your laptop and a desire to make your Python code improve in performace and parallelisation. You will need an SSH client to access Spartan. If you are using Linux and MacOS there should be one built-in. If you are using MS-Windows an option such as Putty (http://putty.org) is recommended. This event is brought to you by Research Computing Services Infrastructure team.

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High Performance and Parallel Python on HPC

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