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BMCBI
2010
139views more  BMCBI 2010»
15 years 7 months ago
A highly efficient multi-core algorithm for clustering extremely large datasets
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
Johann M. Kraus, Hans A. Kestler
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
15 years 6 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama
PPSN
2000
Springer
15 years 10 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
IEEEPACT
2002
IEEE
15 years 11 months ago
Optimizing Loop Performance for Clustered VLIW Architectures
Modern embedded systems often require high degrees of instruction-level parallelism (ILP) within strict constraints on power consumption and chip cost. Unfortunately, a high-perfo...
Yi Qian, Steve Carr, Philip H. Sweany
SPAA
1997
ACM
15 years 11 months ago
HARP: A Fast Spectral Partitioner
- Partitioning unstructured graphs is central to the parallel solution of computational science and engineering problems. Spectral partitioners, such recursive spectral bisection (...
Horst D. Simon, Andrew Sohn, Rupak Biswas