Framework for General High-Performance Computing

Project description

Typical simulation codes, especially from the engineering domains, entail huge memory and/or runtime requirements. Even the need for parallelisation is undoubted, in many cases parallelisation approaches lack in efficiency and scalability due to severe communication/synchronisation dependencies as well as data distribution and load balancing problems. On the other side, writing efficient hybrid parallel code is tedious, error-prone, and requires good knowledge of both parallel programming and multithreading such as MPI and OpenMP, resp. Therefore, we present a framework which is based on a job model that allows a user to incorporate his/her sequential code with manageable effort and code modifications in order to be executed in parallel on clusters or supercomputers built from modern multi-core CPUs. The primary application domain of this framework are simulation codes from engineering disciplines as those are in many cases still sequential and due to their memory and runtime demands prominent candidates for parallelisation.