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DAC
2001
ACM
14 years 11 months ago
High-Quality Operation Binding for Clustered VLIW Datapaths
Clustering is an effective method to increase the available parallelism in VLIW datapaths without incurring severe penalties associated with large number of register file ports. E...
Viktor S. Lapinskii, Margarida F. Jacome, Gustavo ...
IJCNN
2006
IEEE
14 years 4 months ago
Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer
—In this paper, we present three different methods for implementing the Probabilistic Neural Network on a Beowulf cluster computer. The three methods, Parallel Full Training Set ...
Jimmy Secretan, Michael Georgiopoulos, Ian Maidhof...
CLUSTER
2003
IEEE
14 years 3 months ago
A Cluster-Based Solution for High Performance Hmmpfam Using EARTH Execution Model
Hmmpfam is a widely used computation-intensive bioinformatics software for sequence classification. The contribution of this paper is the first largely scalable and robust clust...
Weirong Zhu, Yanwei Niu, Jizhu Lu, Chuan Shen, Gua...
CLUSTER
2001
IEEE
14 years 1 months ago
A Distributed Object Model for Solving Irregularly Structured Problems on Cluster
This paper presents a distributed object model MOIDE for solving irregularly structured problems on cluster. The primary appeal of MOIDE is its flexible system structure that is a...
Yudong Sun, Cho-Li Wang
DATAMINE
1999
113views more  DATAMINE 1999»
13 years 9 months ago
A Fast Parallel Clustering Algorithm for Large Spatial Databases
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,...
Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel