Herrmann, Nina; Dieckmann, Justus; Kuchen, Herbert
Research article (journal) | Peer reviewedComplex algorithms and enormous data sets require parallel execution of programs to attain results in a reasonable amount of time. Both aspects are combined in the domain of three-dimensional stencil operations, for example, computational fluid dynamics. This work contributes to the research on high-level parallel programming by discussing the generalizable implementation of a three-dimensional stencil skeleton that works in heterogeneous computing environments. Two exemplary programs, a gas simulation with the Lattice Boltzmann method, and a mean blur, are executed in a multi-node multi-graphics processing units environment, proving the runtime improvements in heterogeneous computing environments compared to a sequential program.
Dieckmann, Justus | Center for Higher Education (ZHL) |
Herrmann, Nina | Chair of Machine Learning and Data Engineering (Prof. Gieseke) (MLDE) |
Kuchen, Herbert | Practical Computer Science Group (PI) |