The class of irregular algorithms includes applications with sparse, grid-based, and temporally varying data structures as well as applications with irregular and run-time dependent computation and communication structures. The aim of this project is the parallelization of different algorithms particularly with regard to an efficient implementation for heterogeneous platforms, like clusters of SMPs (symmetric multiprocessors).
Current work:
Department of Computer Science, Chemnitz University of Technology
Prof. Dr. Gudula Rünger
Judith Hippold
Michael Schwind