Outside of the course or if you prefer to use your own laptop or system to do the hands-on labs during the course, you'll need either Python + numpy + mpi4py or a C, C++, or Fortran compiler and an up-to-date MPI library, e.g., open-mpi or mpich, as well as a proper Jupyter environment if you want to run the Jupyter Notebooks locally.

The ASC exercise material (Jupyter Notebooks based on the HLRS course) is available from the:

ASC MPI GIT REPO git clone https://gitlab.tuwien.ac.at/vsc-public/training/MPI

The HLRS exercise material can be downloaded from: (To verify your MPI library/installation please download either TEST.tar.gz or TEST.zip and do the tests described in the upper part at "A) Testing MPI" in the file TEST/README.txt within the archive.)

MPI31single.tar.gz or MPI31single.zip

ACKNOWLEDGMENTS & COPYRIGHT

The ASC MPI course is based on the MPI course developed by Rolf Rabenseifner, HLRS at the University of Stuttgart,
the copyrighted material is used with permission.

The HLRS material (slides and exercises) is copyrighted by the HLRS at the University of Stuttgart. You may download the slides and exercises for your personal use and pass on the link above. Any other form of public distribution of the provided pdf files themselves or any derived material is not allowed, except with written permission by HLRS; in this case, please contact training(at)hlrs.de to request such a permission.

The ASC exercise material (Jupyter Notebooks based on the HLRS course) is available under a CC BY-SA 4.0 license.

FEEDBACK

Please provide your feedback (at the end of the course) here:

https://events.asc.ac.at/event/213/surveys/217

Students, in addition, please provide your evaluation for the lecture VSC-School I:

https://tiss.tuwien.ac.at/survey/surveyForm.xhtml?courseNumber=057020&semesterCode=2024W --> link is from 2024