Most HPC systems are clusters of shared memory nodes. To use such systems efficiently both memory consumption and communication time has to be optimized. Therefore, hybrid programming may combine the distributed memory parallelization on the node interconnect (e.g., with MPI) with the shared memory parallelization inside of each node (e.g., with OpenMP or MPI-3.0 shared memory). This course analyzes the strengths and weaknesses of several parallel programming models on clusters of SMP nodes. Multi-socket-multi-core systems in highly parallel environments are given special consideration. MPI-3.0 has introduced a new shared memory programming interface, which can be combined with inter-node MPI communication. It can be used for direct neighbor accesses similar to OpenMP or for direct halo copies, and enables new hybrid programming models. These models are compared with various hybrid MPI+OpenMP approaches and pure MPI. Numerous case studies and micro-benchmarks demonstrate the performance-related aspects of hybrid programming.
Hands-on sessions are included on all days. Tools for hybrid programming such as thread/process placement support and performance analysis are presented in a "how-to" section. This course provides scientific training in Computational Science and, in addition, the scientific exchange of the participants among themselves.
This course is a joint training event of EuroCC@GCS and EuroCC-Austria, the German and Austrian National Competence Centres for High-Performance Computing. It is organized by the HLRS in cooperation with the VSC Research Center, TU Wien and NHR@FAU.
This hybrid event will take place online and at HLRS, University of Stuttgart Nobelstraße 19 70569 Stuttgart, Germany Room 0.439 / Rühle Saal Location and nearby accommodations
Jan 23, 2024 08:45
Jan 25, 2024 16:30
Hybrid Event - Stuttgart, Germany
English
Advanced
Parallel Programming
Programming Languages for Scientific Computing
MPI
MPI+OpenMP
OpenMP
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Learn more about course curricula and content levels.
Claudia Blaas-Schenner (VSC Research Center, TU Wien and EuroCC-Austria), Georg Hager (NHR@FAU, Uni. Erlangen), Rolf Rabenseifner (HLRS, Uni. Stuttgart)
An introduction will be given by Prof. Dr.-Ing. Michael M. Resch, director of the HLRS, and by HPE about the next HLRS systems Hunter and Herder on the first day.
The presentation times listed in the agenda are tentative.
1st day – 23 January 2024
08:45 Join in 09:00 Welcome 09:03 Exascale Supercomputing is coming to Stuttgart: Hunter and Herder Prof. Michael Resch (Director, HLRS) 09:30 Hunter's hardware architecture and its programming models Dr. Christian Simmendinger (HPE) and Igor Pasichnyk (AMD) 10:15 Break 10:30 Introduction to the general MPI+X course with exercises on existing Hawk cluster 11:15 Programming Models 11:20 - MPI + OpenMP 11:50 Practical (how to compile and start) 12:30 Lunch 14:00 - continue: MPI + OpenMP 14:45 Break 15:00 - continue: MPI + OpenMP 15:45 Practical (how to do pinning) 16:15 Q & A 16:30 End of first day
2nd day – 24 January 2024
08:45 Join in 09:00 - continue: MPI + OpenMP 09:00 Practical (hybrid through OpenMP parallelization) 10:30 Break 10:45 - Overlapping Communication and Computation 11:15 Practical (taskloops) 12:15 - MPI + OpenMP Conclusions 12:30 Lunch 14:00 - MPI + Accelerators 15:00 Break 15:15 - MPI + Accelerators (continued) 16:15 Q & A 16:30 End of second day
3rd day – 25 January 2024
08:45 Join in 09:00 Programming Models (continued) 09:05 - MPI + MPI-3.0 Shared Memory 10:00 Break 10:15 - MPI Memory Models and Synchronization 11:00 Break 11:15 - Pure MPI 11:35 - Recap - MPI Virtual Topologies 12:05 - Topology Optimization 12:30 Lunch 14:00 - Topology Optimization, continued 14:10 Conclusions 14:25 Practical (replicated data) 15:45 Q & A, Feedback 16:00 Q & A 16:30 End of third day (course)
A link to the course material (slides and exercises) will be available at course start
Register via the button at the top of this page.
Registration closes on Tuesday 9 January, 2024 (extended deadline).
Late registrations after the deadline are still possible according to the course capacity, possibly with reduced quality of the handout.
Students without Master's degree or equivalent. Participants from EU or EuroCC countries only: 0 EUR PhD students or employees at a German university or public research institute: 0 EUR PhD students or employees at a university or public research institute in an EU or EuroCC country other than Germany: 0 EUR. Other participants, e.g., from industry, other public service providers, or government. Participants from EU or EuroCC countries only: 0 EUR
Our course fee includes coffee breaks (in classroom courses only).
For lists of EU and EuroCC countries have a look at the Horizon Europe and EuroCC website.
Only participants from institutions belonging to these countries can take part in this course.
Maksym Deliyergiyev phone 0711 685 87261, maksym.deliyergiyev(at)hlrs.de
HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.
This course is provided within the framework of EuroCC2 and the bwHPC training program.
This is a joint training event of EuroCC@GCS and EuroCC-Austria.
Within the scope of the EuroCC2 project this training is offered free of charge. By participating in a training free of charge, companies receive state-aid corresponding to the regular market-prices listed in the service portfolio. Please note state-aid regulations in Germany.
EuroCC 2 and EuroCC4SEE have received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903 and No 101191697. The JU receives support from the European Union’s Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia, Bosnia and Herzegovina.
Besides the content of the training itself, an important aspect of this event is the scientific exchange among the participants. We try to facilitate such communication by
See the training overview and the Supercomputing Academy pages.
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