Jun 28, 2022
08:45
Jul 01, 2022
17:00
English
Dr. habil. Georg Hager and Dr.-Ing. Jan Eitzinger (formerly Treibig) (RRZE/HPC, Uni. Erlangen)
Bert Wesarg (ZIH Uni. Dresden) for the tools-day
Day 1
Day 2
Day 3
Day 4 (Tools Day)
Introduction
Tools topology & affinity in multicore environments
Microbenchmarking for architectural exploration
Roofline model: basics
Tools: hardware performance counters
Roofline case studies
Optimal use of parallel resources
Extending Roofline: The ECM performance model
Optional: Pattern-based performance engineering
Before the course, the course material and an updated agenda will be available here.
An older version of this course with most of the material (including the audio information) can also be viewed in the ONLINE Parallel Programming Workshop.
Register via the button at the top of this page.
We encourage you to register to the waiting list if the course is full. Places might become available.
Registration closes on June 12, 2022 (extended deadline).
Late registrations after the deadline are still possible according to the course capacity, maybe with reduced quality of the service.
Students without Diploma/Master: None
Members of German universities and public research institutes: none.
Members of universities and public research institutes within EU or PRACE member countries: none.
Members of other universities and public research institutes: 240 EUR.
Others: 600 EUR.
Our course fees includes coffee breaks (in classroom courses only).
Lucienne Dettki, phone 0711 685 63894, dettki(at)hlrs.de
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.
This course is a PATC course, see also the PRACE Training Portal and Events. For participants from public research institutions in PRACE countries, the course fee is sponsored through the PRACE PATC program.
HLRS is also member of the Baden-Württemberg initiative bwHPC.
This course is also provided within the framework of the bwHPC training program.
See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.