Abstract. Recent advances in software and hardware for clustered computing have allowed scientists and computing specialists to take advantage of commodity processors in solving ch...
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
This work provides a systematic study of the impact of communication performance on parallelapplications in a high performance network of workstations. We develop an experimental ...
Richard P. Martin, Amin Vahdat, David E. Culler, T...
Scheduling in large-scale parallel systems has been and continues to be an important and challenging research problem. Several key factors, including the increasing use of off-the...
Mark S. Squillante, Yanyong Zhang, Anand Sivasubra...