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156
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IJPP
2011
99views more  IJPP 2011»
15 years 1 months ago
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multicore CPUs for lattice-oriented applicatio...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
199
Voted
JIDM
2010
131views more  JIDM 2010»
15 years 28 days ago
Processing Queries over Distributed XML Databases
The increasing volume of data stored as XML documents makes fragmentation techniques an alternative to the performance issues in query processing. Fragmented databases are feasible...
Guilherme Figueiredo, Vanessa P. Braganholo, Marta...
TVLSI
2010
15 years 25 days ago
Bandwidth Adaptive Hardware Architecture of K-Means Clustering for Video Analysis
K-Means is a clustering algorithm that is widely applied in many fields, including pattern classification and multimedia analysis. Due to real-time requirements and computational-c...
Tse-Wei Chen, Shao-Yi Chien
BMCBI
2011
15 years 20 days ago
Ultra-fast sequence clustering from similarity networks with SiLiX
Background: The number of gene sequences that are available for comparative genomics approaches is increasing extremely quickly. A current challenge is to be able to handle this h...
Vincent Miele, Simon Penel, Laurent Duret
CIDM
2011
IEEE
14 years 10 months ago
A GPU-based interactive bio-inspired visual clustering
Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
Ugo Erra, Bernardino Frola, Vittorio Scarano