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» Massively parallel processing on a chip
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WSC
2008
13 years 10 months ago
An application of parallel Monte Carlo modeling for real-time disease surveillance
The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing,...
David W. Bauer, Mojdeh Mohtashemi
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
13 years 11 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
DATE
2009
IEEE
122views Hardware» more  DATE 2009»
14 years 2 months ago
Model-based synthesis and optimization of static multi-rate image processing algorithms
Abstract—High computational effort in modern image processing applications like medical imaging or high-resolution video processing often demands for massively parallel special p...
Joachim Keinert, Hritam Dutta, Frank Hannig, Chris...
BMCBI
2008
133views more  BMCBI 2008»
13 years 7 months ago
A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
Luca Corradi, Marco Fato, Ivan Porro, Silvia Scagl...
PPL
2008
185views more  PPL 2008»
13 years 7 months ago
On Design and Application Mapping of a Network-on-Chip(NoC) Architecture
As the number of integrated IP cores in the current System-on-Chips (SoCs) keeps increasing, communication requirements among cores can not be sufficiently satisfied using either ...
Jun Ho Bahn, Seung Eun Lee, Yoon Seok Yang, Jungso...