Proceedings of Distributed Memory Computing Conference, Lecture Notes in Computer Science vol:487 pages:153-162
Distributed Memory Computing Conference
We describe a tool that supports data-parallel programming on a distributed memory multiprocessor. Load balancing, based on an evolution algorithm, is integrated into this environment. Timing results for balanced Jacobi relaxation on an adaptive unstructured grid show that the encurred overhead is acceptable for calculation intensive applications.