Dynamic Load Balancing of an Iterative Eigensolver on Networks of Heterogeneous Clusters

Clusters of homogeneous workstations built around fast networks have become popular means of solving scientific problems, and users often have access to several such clusters. Harnessing the collective power of these clusters to solve a single, challenging problem is desirable, but is often impeded by large inter-cluster network latencies and heterogeneity of different clusters. The complexity of these environments requires commensurate advances in parallel algorithm design