Scope of the course
The Python programming language has become more and more popular among researchers for its simplicity and the availability of specific programming libraries, and at the same time the correct exploitation of heterogeneous architectures presents challenges for the development of parallel applications. In order to bring these two topics together, this course is focused on the use of Python on CPU and GPU platforms for scientific computing in general.
The basic concepts of good programming practices in Python and general parallel programming will be introduced, and then GPU computing will be explained combining the essential theory concepts with hands-on sessions. The proposed exercises will be tested in the supercomputing facilities provided by SURFsara using Python with different programming libraries:
IMPORTANT INFORMATION: WAITING LIST
If the course gets fully booked, no more registrations are accepted through this website. However, you can be included in the waiting list: for that, please send an email to email@example.com and you'll be informed when a place becomes available.
Please bring your own laptop with an ssh client for the hands-on sessions!
The information about the internet connection and the accounts on the supercomputer will be given in due time.
The main requirements to follow the course are some familiarity with
- bash commands
- Python programming language.
Additional information on how to reach SURFsara in Amsterdam can be found here.
In order to travel with public transport in the Netherlands, it is very convenient to have an anonymous OV-chipkaart. Please find the detailed information here.