4–6 Nov 2024
Europe/Berlin timezone

This course will take place as an on-site and in-person event. It is not possible to attend online.

The focus of this course is on the concept of performing I/O operations (reading/writing from/to file) in parallel, as well as demonstrating the usage of common libraries to perform such parallel I/O tasks. This course will start with an introduction of different parallel I/O strategies. It will then cover the netCDF-4 and HDF5 libraries. The course will have a dedicated session on I/O guidelines for Machine/Deep Learning with PyTorch. Lastly, optimization potential and best practices for parallel I/O are discussed.

The three day course consist of lectures as well as practical exercises on implementing the techniques presented in the course.

The time table is preliminary. Final agenda will be shared via a separate email to registered participants approximately two weeks before the course.



This course is given in English.


4-6 November 2024, 09:00-16:30 each day


Ilya Zhukov, Jolanta Zjupa, Junxian Chew, Aravind Sankaran, Jan Ebert (JSC)


For any questions concerning the course, please send an e-mail to i.zhukov@fz-juelich.de, j.zjupa@fz-juelich.de, j.chew@fz-juelich.de

Registration for this event is currently open.