Parallel remapping algorithms for adaptive problems

We present fast parallel algorithms for remapping a class of irregular and adaptive problems on coarse-grained distributed-memory machines. We show that the remapping of these applications, using simple index-based mapping algorithms, can be reduced to sorting a nearly sorted list of integers or merging an assorted list of integers with a sorted list of integers. By using the algorithms we have developed, the remapping of these problems can be achieved at a fraction of the cost of mapping from scratch. Results of experiments performed on the CM-5 are presented