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» Integrating Neural Networks with Special Purpose Simulation
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CF
2007
ACM
15 years 1 months ago
Massively parallel processing on a chip
MppSoC is a SIMD architecture composed of a grid of processors and memories connected by a X-Net neighbourhood network and a general purpose global router. MppSoC is an evolution ...
Philippe Marquet, Simon Duquennoy, Sébastie...
ACTAC
2006
126views more  ACTAC 2006»
14 years 9 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
14 years 9 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
HIPC
2009
Springer
14 years 7 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer
COMPUTER
2002
196views more  COMPUTER 2002»
14 years 9 months ago
Grid Services for Distributed System Integration
ions and concepts that let applications access and share resources and services across distributed, wide area networks, while providing common security semantics, distributed resou...
Ian T. Foster, Carl Kesselman, Jeffrey M. Nick, St...