7 papers · ranked by Valyu relevance
Marco Aldinucci, Cristina Calcagno, Mario Coppo, Ferruccio Damiani + 5 more
'Maurizio Drocco' 'Eva Sciacca' 'Salvatore Spinella' 'Massimo Torquati' 'Angelo Troina'] The paper arguments are on enabling methodologies for the design of a fully parallel, online, interactive tool aiming to support the bioinformatics scientists .In particular, the features of these methodologies, supported by the…
James S. Sims, John G. Hagedorn, Peter M. Ketcham, Steven G. Satterfield + 14 more
'Steven G. Satterfield' 'Terence J. Griffin' 'William L. George' 'Howland A. Fowler' 'Barbara A. am Ende' 'Howard K. Hung' 'Robert B. Bohn' 'John E. Koontz' 'Nicos S. Martys' 'Charles E. Bouldin' 'James A. Warren' 'David L. Feder' 'Charles W. Clark' 'B. James Filla' 'Judith E. Devaney'] The rate of scientific discovery…
Carlos Fernandez-Musoles, Daniel Coca, Paul Richmond
In the last decade there has been a surge in the number of big science projects interested in achieving a comprehensive understanding of the functions of the brain, using Spiking Neuronal Network (SNN) simulations to aid discovery and experimentation. Such an approach increases the computational demands on SNN…
Luke Jostins, Johannes Jaeger
Background The use of reverse engineering methods to infer gene regulatory networks by fitting mathematical models to gene expression data is becoming increasingly popular and successful. However, increasing model complexity means that more powerful global optimisation techniques are required for model fitting. The…
Julia L Turner, Scott T Kelley, James S Otto, Faramarz Valafar + 1 more
'Andrew J Bohonak'] Background The Isolation by Distance Web Service (IBDWS) is a user-friendly web interface for analyzing patterns of isolation by distance in population genetic data. IBDWS enables researchers to perform a variety of statistical tests such as Mantel tests and reduced major axis regression (RMA), and…
Patrizio Dazzi
Embarrassingly parallel problems are characterised by a very small amount of information to be exchanged among the parts they are split in, during their parallel execution. As a consequence they do not require sophisticated, low-latency, high-bandwidth interconnection networks but can be efficiently computed in…
Vladislav Skorpil, Vaclav Oujezsky, Arcangelo Castiglione, Gianni D’Angelo
'Gianni D’Angelo'] This paper presents an implementation of the parallelization of genetic algorithms. Three models of parallelized genetic algorithms are presented, namely the Master-Slave genetic algorithm, the Coarse-Grained genetic algorithm, and the Fine-Grained genetic algorithm. Furthermore, these models are…