Parallel I/O and Portable Data Formats (Trainingskurs, Präsenzveranstaltung)
Ilya Zhukov, Jolanta Zjupa, Junxian Chew
(Kurs-Nr. 1302024 im Trainingsprogramm 2024 des Forschungszentrums Jülich)
Der Kurs findet als Präsenzveranstaltung statt. Es gibt keinen Online-Zugang zu dieser Veranstaltung.
Inhalt:
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 % |
Voraussetzungen:
- 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
Zielgruppe:
Supercomputer users, developers of parallel applications
Sprache:
Der Kurs wird auf Englisch gehalten.
Dauer:
3 Tage
Zeit:
22.-24. April 2024, jeweils 09:00-16:30 Uhr
Ort:
Jülich Supercomputing Centre, building 16.3, room 213a (Ausbildungsraum 1)
Teilnehmerzahl:
mindestens 5, maximal 26
Referenten:
Ilya Zhukov, Jolanta Zjupa, Junxian Chew, Aravind Sankaran, Jan Ebert (JSC)
Kontakt:
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Raum 323
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Raum 324
- Institute for Advanced Simulation (IAS)
- Jülich Supercomputing Centre (JSC)
Raum 317
Anmeldung:
Bitte melden Sie sich bis zum 13. Februar 2024 über das Anmeldeformular an.