Parallel I/O and Portable Data Formats (training course, on-site)

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

Contents:

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.

Event page can be found here.

Agenda The preliminary agenda will be added here.

Prerequisites:

• Knowledge about Linux shell (usage of terminal commands)
• Experience in one of the following programming languages C/C++/Fortran/Python
• Knowledge in MPI parallelisation or have participated in Introduction to parallel programming with MPI and OpenMP

Target audience:

Supercomputer users, developers of parallel applications

Language:

This course is given in English.

Duration:

3 days

Date:

October, exact days tba

Venue:

Jülich Supercomputing Centre, building 16.3, room 213a (Ausbildungsraum 1)

Number of Participants:

minimum 5, maximum 26

Instructors:

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