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» Neural Computing on a One Dimensional SIMD Array
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IJPP
2007
91views more  IJPP 2007»
13 years 5 months ago
A Compositional Framework for Developing Parallel Programs on Two-Dimensional Arrays
Computations on two-dimensional arrays such as matrices and images are one of the most fundamental and ubiquitous things in computational science and its vast application areas, bu...
Kento Emoto, Zhenjiang Hu, Kazuhiko Kakehi, Masato...
CEC
2009
IEEE
13 years 9 months ago
JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator
This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
Olivier Brousse, Jérémie Guillot, Th...
ICANN
2007
Springer
13 years 11 months ago
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces
In the field of computer vision feature matching in high dimensional feature spaces is a commonly used technique for object recognition. One major problem is to find an adequate s...
Jochen Kerdels, Gabriele Peters
ISCA
2000
IEEE
63views Hardware» more  ISCA 2000»
13 years 9 months ago
An embedded DRAM architecture for large-scale spatial-lattice computations
Spatial-lattice computations with finite-range interactions are an important class of easily parallelized computations. This class includes many simple and direct algorithms for ...
Norman Margolus
ICPR
2008
IEEE
14 years 6 months ago
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
E. Alper Yildirim, Ince Turker, Moncef Gabbouj, Se...