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FPL
2006
Springer
125views Hardware» more  FPL 2006»
15 years 8 months ago
Application-Specific Memory Interleaving for FPGA-Based Grid Computations: A General Design Technique
Many compute-intensive applications generate single result values by accessing clusters of nearby points in grids of one, two, or more dimensions. Often, the performance of FGPA i...
Tom Van Court, Martin C. Herbordt
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 4 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
EGPGV
2004
Springer
143views Visualization» more  EGPGV 2004»
15 years 10 months ago
Massive Data Pre-Processing with a Cluster Based Approach
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
Rita Borgo, Valerio Pascucci, Roberto Scopigno
ASAP
2006
IEEE
108views Hardware» more  ASAP 2006»
15 years 8 months ago
New Schemes in Clustered VLIW Processors Applied to Turbo Decoding
State-of-the-art communication standards make extensive use of Turbo codes. The complex and power consuming designs that currently implement the turbo decoder expose the need for ...
Pablo Ituero, Marisa López-Vallejo
128
Voted
WCE
2007
15 years 5 months ago
Adaptive Automata Community Detection and Clustering: A generic methodology
— We present in this paper a generic methodology based on genetic automata for modelling community detection. With Communities, we deal with dynamic organizations which are self-...
Rawan Ghnemat, Cyrille Bertelle, Gérard Hen...