Sentence examples for high-level computation from inspiring English sources

Exact(2)

Moreover, for some applications which require a high-level computation and where a large computational time and high computing power are needed (for example, encryption of large digital images), these cryptosystems suffer from low-level efficiency [5].

The ideal would be a seamless compilation of a high-level computation process specification into an optimized mixture of machine code executed on traditional CPU-centric processors and on the application-specific decentralized parallel data-flow-dominated reconfigurable processors and hardware accelerators.

Similar(58)

As mentioned, QC methods are computationally expensive: the scaling of the computer effort and storage of high-level computations with the size of the system (N) is harsh, reaching, for example, N7, for the most expensive and most accurate wavefunction-based methods, such as Coupled Cluster [10 12].

High level computations using QM/MM-PBSA binding free energy calculations were in good agreement with experimental binding data, as determined using statistical analysis, and support binding at the ATP-binding site.

Thus, either MOT has some direct access to the computations performed in higher areas, or that these higher level computations are fed back to and influence representations in levels at which MOT can select as targets.

We have carried out high-level quantum chemical computations followed by molecular docking studies on a set of 17C5-arylidene rhodanine isomers to provide insights into the binding modes with different reported binding pockets of the nonstructural protein 5B (NS5B) polymerase that contribute to the hepatitis C virus (HCV) inhibition.

What's been known as "Moravec's paradox" is the fact that high-level reasoning and calculation require little computation, whereas low-level sensorimotor skills require huge computational resources.

The Ptolemy group is cooperating with Sanders on the development of software for synthesizing configurations of adaptive computing hardware from high-level, abstract descriptions of computations.

His research interests include domain theory, topological algebra and non-well-founded set theory in mathematics, semantics of high-level programming languages and computational models for probabilistic computation in computer science, and classical and quantum computation and information.

The resulting theory provides an “assembly language” for cognition, where high-level theories cognition and computation can be translated into simple and neurally plausible underlying dynamics.

LiD4E is a design tool for optimized implementation of dynamic, data-driven stream mining systems using high-level dataflow models of computation.

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