Sentence examples for massively parallel structure from inspiring English sources

From a computational point of view, such neurocomputing architectures can exploit their massively parallel structure and be significantly faster than standard sequential approaches.

Due to their massively parallel structure and ability to learn by example, artificial neural networks can deal with nonlinear problems for which an accurate analytical solution is difficult to obtain.

Due to their massively parallel structure and ability to learn by example, ANN can deal with non-linear modeling for which an accurate analytical solution is difficult to obtain.

Empirical Bayes methods are designed to leverage aspects of both Bayesian and frequentist statistical inference by using the powerful and flexible reasoning tools of Bayesian statistics, but exploiting the massively parallel structure of the data to infer prior probability distributions in a frequentist-type setting.

However, one can use the massively parallel structure of microarray data to estimate an empirical Bayes estimate of the posterior probability.

Our system concept is based on a massively parallel processor structure.

To predict the secondary structure of fragments of rRNA, we used our massively parallel genetic algorithm, MPGAfold, involving populations of thousands of structures [48] [51].

By exploiting the generic iterative structure of this broad class of economic problems, we propose a parallelization scheme that favors hybrid massively parallel computer architectures.

Since the computational program is free from the algorithms of eigenvalue problems and fast-Fourier-transformation, which are usually implemented in conventional quantum chemistry or band structure calculations, it is highly suitable for massively parallel calculations.

This way, it will perform well in massively parallel processors because of its inherent parallelism.

James Watson, who contributed to solving the structure of DNA, had his genome sequenced by massively parallel pyrosequencing in 2008 [ 13].