From: Rolf Rabenseifner <rabenseifner@hlrs.de>
Reply-To: Rolf Rabenseifner <rabenseifner@hlrs.de>,
 Lucienne Dettki <dettki@hlrs.de>
To: contact@ins.uni-bonn.de
Subject: MPI+X / Introduction to hybrid programming in HPC @ HLRS
Message-Id: <20170503160523.2E8C48A2C5@awsrr.hlrs.de>
Date: Wed,  3 May 2017 18:05:23 +0200 (CEST)

Dear Madam or Sir / Sehr geehrte Damen und Herren,

As hybrid programming techniques are getting more and more
important in HPC, we have organised a course at HLRS on

    Introduction to hybrid programming in HPC

       Monday, June 12, 2017, 10:00-17:00
               HLRS, Stuttgart 
      http://www.hlrs.de/training/2017/HY-S

Course Description:

Most HPC systems are clusters of shared memory nodes. Such SMP
nodes can be small multi-core CPUs up to large many-core CPUs.
Parallel 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
analyses 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
neighbour 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.

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.

Similar "MPI+X" tutorials about hybrid programming have been
successfully presented by the lecturers Dr. Rolf Rabenseifner
(HLRS, member of the steering committee of the MPI-3 Forum)
and Dr. Georg Hager (RRZE, winner of the "Informatics Europe
Curriculum Best Practices Award: Parallelism and Concurrency")
during various supercomputing conferences in the past, 
and also as a PATC course at LRZ Garching in January 2017.

Teachers:
Dr. Georg Hager (RRZE/HPC Uni. Erlangen), Dr. Rolf Rabenseifner (HLRS)

More information about the course and the registration
form can be found online at

http://www.hlrs.de/training/2017/HY-S

We would like to invite you to participate in this course 
at HLRS. Please also pass this workshop announcement to 
other interested colleagues.

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

Further upcoming courses that may be of interest for you:

http://www.hlrs.de/training/
- Cluster Workshop (May 29-30, Stuttgart) [German]
- Scientific Visualization (May 31-Jun 1, Stuttgart) [English]
- Shared memory parallelization with OpenMP (June 8-9, Vienna) [Engl]
- Hybrid MPI+X (Jun 12, Stuttgart) [English]
- Introduction to UPC and Co-Array Fortran (Jun 29-30, Stuttgart) [Engl]
- Efficient Parallel Prog. with GASPI (Jul 3-4, Stuttgart) [Engl]
- CFD with OpenFOAM (Aug 28-Sep 1, Stuttgart) [German]
- Iterative Linear Solvers and Parallelization (Sep 4-8, Garching) [Ger]
- Introduction to CFD (Sep 11-15, Stuttgart) [German]

Kind regards,
Rolf Rabenseifner (HLRS) and Georg Hager (RRZE/HPC Univ. Erlangen)


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Dr. Rolf Rabenseifner .. . . . . . . . . email rabenseifner@hlrs.de .
High Performance Computing Center (HLRS) phone ++49(0)711/685-65530 .
University of Stuttgart .. . . . . . . . fax : ++49(0)711/685-65832 .
Head of Dpmt Parallel Computing ... www.hlrs.de/people/rabenseifner .
Nobelstr. 19, D-70569 Stuttgart, Germany .
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