Distributed memory parallelization with the Message Passing Interface MPI (Mon+Tue, for beginners):

On clusters and distributed memory architectures, parallel programming with the Message Passing Interface (MPI) is the dominating programming model. The course gives an full introduction into MPI-1. Further aspects are domain decomposition, load balancing, and debugging. An MPI-2 overview and the MPI-2 one-sided communication is also taught. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the basic constructs of the Message Passing Interface (MPI).

Shared memory parallelization with OpenMP (Wed, for beginners):

The focus is on shared memory parallelization with OpenMP, the key concept on hyper-threading, dual-core, multi-core, shared memory, and ccNUMA platforms. This course teaches shared memory OpenMP parallelization. Hands-on sessions (in C and Fortran) will allow users to immediately test and understand the directives and other interfaces of OpenMP. Race-condition debugging tools are also presented.

Advanced topics in parallel programming (Thu+Fri):

Topics are MPI-2 parallel file I/O, hybrid mixed model MPI+OpenMP parallelization, OpenMP on clusters, parallelization of explicit and implicit solvers and of particle based applications, parallel numerics and libraries, and parallelization with PETSc. Hands-on sessions are included.

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