Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Abstract. The theory of bulk-synchronous parallel computing has produced a large number of attractive algorithms, which are provably optimal in some sense, but typically require th...
Mohammad R. Nikseresht, David A. Hutchinson, Anil ...
We describe the rationale behind the design of key features of Titanium—an explicitly parallel dialect of JavaTM for high-performance scientific programming—and our experienc...
Katherine A. Yelick, Paul N. Hilfinger, Susan L. G...
Adaptive load distribution is necessary for parallel applications to co-exist e ectively with other jobs in a network of shared, heterogeneous workstations. We present three metho...
Jeremy Casas, Ravi B. Konuru, Steve W. Otto, Rober...
Given the large communication overheads characteristic of modern parallel machines, optimizations that eliminate, hide or parallelize communication may improve the performance of ...