16. Aug. 2023
08:45
24. Aug. 2023
16:00
Englisch
Linux command shell commands and some basic programming knowledge in C or Fortran (or Python for the MPI part).
To be able to do the hands-on exercises of this course, you need a computer with an OpenMP capable C/C++ or Fortran compiler and a corresponding, up-to-date MPI library (in case of Fortran, the mpi_f08 module is required).
If you have access, you can also use a high performance compute (HPC) cluster for the exercises (such as e.g. Euler, for members of ETH Zurich; Euler has these software requirements readily available). Please note that the course organizers will not grant you access to an HPC system nor any other compute environment. Therefore, please make sure to have a functioning working environment / access to an HPC cluster prior to the course.
To check if your MPI and OpenMP installation is valid, please either
After that follow the instructions in TEST/README.txt within the archive.
In addition, you can perform most MPI exercises in Python with mpi4py + numpy. In this case, an appropriate installation on your system is required (together with a C/C++ or Fortran installation for the other exercises).
The optional exercise about race-condition detection (in the morning of the 2nd day) requires an installation of a race-condition detection tool, e.g., the Intel Inspector together with the Intel compiler. It is recommended to install it.
Please make sure to have a functioning working environment / access to an HPC cluster prior to the start of the course. In case of questions, please contact the course organizer (see below).
Dr. Rolf Rabenseifner is a world-renowned expert in parallel computing and teacher of courses in the areas of parallel programming with the Message Passing Interface (MPI), shared memory parallelization with OpenMP, and the Partitioned Global Address Space (PGAS) languages UPC and Co-Array Fortran.
For details, see the six-day course agenda / content (preliminary).
The course hours are usually between 9:00-16:30, with Zoom login starting at 8:45, and two exceptions:
On Days 3+4 (Mon+Tue, Aug 21+22), there is an additional homework of 20-30 Minutes which will be supported until 17:00 if they wish.
On the last day (Day 6, Thu, Aug 24), the course ends on 16:00.
Please refer to the course web-page at ETH Zurich for registration, fee and contact information.
http://www.hlrs.de/training/2023/ETH and https://sis.id.ethz.ch/services/consultingtraining/mpi_openmp_course.html
See the training overview and the Supercomputing Academy pages.
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