Introduction to MPI

Annotation Message Passing Interface (MPI) is a dominant programming model on clusters and distributed memory architectures. This course is focused on its basic concepts. In particular, exchanging data by point-to-point and collective operations. Attendees will be able to immediately test and understand these constructs in hands-on sessions. This course is mainly the beginners part of a course that was originally developed by Rolf Rabenseifner (HLRS). The content level of this course is 75% for beginners and 25% for intermediate users. For experienced users that want to understand MPI in more detail, this course will be followed by an advanced course in October 2021. Level 75% for beginners and 25% for intermediate users Language English Purpose of the course (benefits for the attendees) After the course, attendees should be able to understand MPI applications and write their own code. About the tutor(s) Ondřej Meca holds a Ph.D. degree in Computer Science from VSB - Technical University of Ostrava, Czech Republic. He is currently a member of the Infrastructure Research Lab at IT4Innovations National Supercomputing Center. His research interests include verification of parallel algorithms, development of pre/post-processing algorithms for large-scale engineering problems, and development of highly-scalable linear solvers. Žarko Bodroški received his Ph.D. degree in Computer Science from the Faculty of Sciences, University of Novi Sad in Serbia in 2020. He is a member of the Scientific Computing Research Group (SCORG) and the Information Systems Development Laboratory at the Department of Mathematics and Informatics, Faculty of Sciences. His main research topics are scientific, parallel and high performance computing, with a focus on modelling electronic structures of disordered organic materials using Density Functional Theory and MPI C programs