Ruprecht, DanielDanielRuprecht2020-08-172020-08-172017Euro-Par 2017: parallel processing : 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 – September 1, 2017 : proceedings / Francisco F. Rivera, Tomás F. Pena, José C. Cabaleiro (eds.). - Cham : Springer, 2017. - (Lecture notes in computer science ; 10417). - Seite 669-681http://hdl.handle.net/11420/7070For the parallel-in-time integration method Parareal, pipelining can be used to hide some of the cost of the serial correction step and improve its efficiency. The paper introduces a basic OpenMP implementation of pipelined Parareal and compares it to a standard MPI-based variant. Both versions yield almost identical runtimes, but, depending on the compiler, the OpenMP variant consumes about 7% less energy and has a significantly smaller memory footprint. However, its higher implementation complexity might make it difficult to use in legacy codes and in combination with spatial parallelisation.enOpenMPParallel-in-time integrationPararealPipeliningMathematikJournal Article10.1007/978-3-319-64203-1_48Other