Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Existing dynamic race detectors suffer from at least one of the following three limitations: (i) space overhead per memory location grows linearly with the number of parallel thre...
We present a parallel algorithm for performing multipoint linkage analysis of genetic marker data on large family pedigrees. The algorithm effectively distributes both the computa...
Gavin C. Conant, Steve Plimpton, William Old, Andr...
This paper presents performance results for the design and implementation of parallel pipelined Space-Time Adaptive Processing (STAP) algorithms on parallel computers. In particul...
Alok N. Choudhary, Wei-keng Liao, Donald Weiner, P...
Abstract. We present a new parallel computation model called the Parallel ResourceOptimal computation model. PRO is a framework being proposed to enable the design of efficient and...