Sentence examples for massively parallel nature from inspiring English sources

Exact(7)

The massively parallel nature of video Time Encoding Machines (TEMs) calls for scalable, massively parallel decoders that are implemented with neural components.

The latter emphasizes the massively parallel nature of brain networks and the fact that function also emerges from the flow of information between brain areas.

The fabrication process makes use of a thick sacrificial copper layer and allows the wafer-level batch production of tens of thousands of microtiles, in line with the massively parallel nature of SA.

However, such approaches do not seem plausible given the massively parallel nature of the brain, and we believe memory limits are an emergent property of the neural architecture of the human brain.

As compared to traditional Sanger bulk sequencing, the cost per base of sequencing is low, due in part to the massively parallel nature of these technologies [ 3].

The assumption made for array CGH phylogeny is that the massively parallel nature of the technique provides sufficient evolutionary signal to infer the true relationships between all the taxa, in a manner similar to clustering analysis of gene expression data [ 28].

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Similar(53)

Science is a dynamic, organized, and massively parallel human endeavor to discover, explain, and predict the nature of the physical world.

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

The explicit nature of the numerical methods means the method should scale well to massively parallel systems, using CPU or GPU processors.

GPU is a massively parallel device, with a significant number of processing cores, whose processing ability can be exploited for general purpose use in high arithmetic intensity algorithms, where the parallel nature of its architecture can be exploited to maximum benefit.

The kernelised nature of the PRW and RASCAL algorithms allied with the ensemble approach lends itself to a parallel implementation exploiting the massively parallel processing capability of Graphical Processing Units (GPUs).

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