This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in ...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa...
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
Background: Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find...
Due to the complexity associated with developing parallel applications, scientists and engineers rely on highlevel software libraries such as PETSc, ScaLAPACK and PESSL to ease th...
Pavan Balaji, Darius Buntinas, Satish Balay, Barry...
Bulk memory copies incur large overheads such as CPU stalling (i.e., no overlap of computation with memory copy operation), small register-size data movement, cache pollution, etc...
Karthikeyan Vaidyanathan, Lei Chai, Wei Huang, Dha...