Höchstleistungsrechenzentrum Stuttgart: Introduction to NEC SX-Aurora TSUBASA vector platform

Prerequisites and content levels

Prerequisites

Knowledge of one C/C++/Fortran. For the AI part, knowledge of Python might be a plus.

Content levels

Intermediate: 8 hours.

Learn more about course curricula and content levels.

Instructors

Holger Berger, Erich Focht, and Patrick Lipka from NEC Deutschland GmbH

Learning outcomes

After this course, participants will:

be familiar with the vector architecture
have experience with compilers, performance analysis and debugging for the SX-Aurora TSUBASA
have an overview over AI/ML/DL support for the SX-Aurora TSUBASA

Agenda

All times are local times in the central European time zone (Berlin). The preliminary schedule is as follows.

Day 1

08:45 - 09:00 Drop in to Zoom
09:00 - 13:30 Lectures and exercises

Day 2

08:45 - 09:00 Drop in to Zoom
09:00 - 13:30 Lectures and exercises (Advanced topics, AI/ML/DL support, hybrid MPI)

Topics on the two days include

architecture overview and comparison
what is vectorization
compilers and options
performance tools
debugging
listing files
loop optimization techniques
batch system usage
AI/DL/ML on the SX-Aurora TSUBASA
hybrid MPI

Registration information

Register via the button at the top of this page (will be available soon).

Registration closes on November 17, 2022 (extended registration phase).

Late registrations after that date are still possible according to the course capacity, possibly with reduced quality of service.

Fees

This course is free of charge.

Contact

Tobias Haas phone 0711 685 87223, tobias.haas(at)hlrs.de
Khatuna Kakhiani phone 0711 685 65796, kakhiani(at)hlrs.de

PRACE PATC and bwHPC

HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012.

HLRS is also member of the Baden-Württemberg initiative bwHPC.

This course is not part of the PATC curriculum and is not sponsored by the PATC program.

Further courses

See the training overview and the Supercomputing Academy pages.