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» GCA: A Massively Parallel Model
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CISIS
2008
IEEE
15 years 4 months ago
Java and the Power of Multi-Core Processing
The new era of multi-core processing challenges software designers to efficiently exploit the parallelism that is now massively available. Programmers have to exchange the conven...
Peter Bertels, Dirk Stroobandt
APPINF
2003
14 years 11 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
KES
1999
Springer
15 years 1 months ago
Dynamic Demes parallel genetic algorithm
Abstract—Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-sla...
Mariusz Nowostawski, Riccardo Poli
ISCA
2011
IEEE
486views Hardware» more  ISCA 2011»
14 years 1 months ago
Dark silicon and the end of multicore scaling
Since 2005, processor designers have increased core counts to exploit Moore’s Law scaling, rather than focusing on single-core performance. The failure of Dennard scaling, to wh...
Hadi Esmaeilzadeh, Emily R. Blem, Renée St....
DNA
2001
Springer
125views Bioinformatics» more  DNA 2001»
15 years 2 months ago
PNA-mediated Whiplash PCR
The directed evolution of proteins, using an in vitro domainal shuffling strategy was proposed in (J. Kolkman and W. Stemmer, Nat. Biotech. 19, 423 (2001). Due to backhybridization...
John A. Rose, Russell J. Deaton, Masami Hagiya, Ak...