This September, as a pre-conference workshop to its 2019 Science Coding Conference, the NeSI Training Team is hosting a half-day training workshop on how to optimise Python programs so that they run more efficiently on multi-core systems like NeSI’s high-performance platforms.
Designed for intermediate to advanced NeSI users, this half-day, hands-on training will cover:
- Profiling serial and parallel applications using ARM map
- Writing a Python C extension
- Parallelising a Python C extension using OpenMP
The aim of this training is to increase users' confidence in identifying and fixing performance bottlenecks so that they can make the most out of their core hours.
In order to get the most out of this training, it is strongly recommended that you:
- Have a NeSI account
- Can bring your own laptop to the session
- Are able to login to a Unix computer
- Are comfortable with typing Unix and git commands (e.g you can clone git repositories, and navigate files/ directories)
- Are able to use an editor (like nano or vim for example) to do things like open, edit, save, and close a file.
- Have some knowledge of Python and C/C++
We encourage anyone interested to register online (space is limited):
If you are not sure if this workshop is for you or have any further questions, feel free to email email@example.com.