Parallel I/O and Portable Data Formats (training course, on-site)
Ilya Zhukov, Jolanta Zjupa, Junxian Chew
(Course no. 1302024 in the training programme 2024 of Forschungszentrum Jülich)
This course will take place as an on-site and in-person event. It is not possible to attend online.
Note: course has been shifted to 04.-06.Nov 2024.
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 can be found here.
Contents level | in hours | in % |
|---|---|---|
Beginner's contents: | 5.4 h | 30 % |
Intermediate contents: | 6 h | 50 % |
Advanced contents: | 0 h | 0 % |
Community-targeted contents: | 3.6 h | 20 % |
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:
04.-06. November 2024, 09:00-16:30 each day
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)
Contact:
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 323
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 324
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Room 317
Registration:
Registration for the event can be done here.