Sentence examples for parallel functionality from inspiring English sources

We will close the chapter with a brief review of existing hardware architectures available on the market, as well as a brief discussion about programming models capable of expressing parallel functionality, which can then be mapped into multiple processor cores.

A clear understanding of the innate features of this position allows managers to prioritize logically and correctly; act in a more balanced way (taking into account the peculiarities of parallel functionality) and build a more pragmatic and purposeful relationship with the core stakeholders, direct performers, and supporters of managerial processes.

In addition to its use in settings of remote microstructure alignment for instructional tissue engineering cues, MRI technologies provide a parallel functionality for these magnetized polymeric devices.

As a significant number of parallel functionalities are required to provide control, engine calibration efforts are very high and need to be reduced by introducing virtual methods.

You could potentially imagine Parallels existing alongside that portfolio to improve usability — either by integrating Parallels' functionality into Corel's other software, or by selling the products in bundles.

This paper provides an overview of JETSPIN, focusing primarily on its structure, parallel implementations, functionality, performance, and availability.

The NVIDIA compute unified device architecture (CUDA) platform [7] is used in order to access the computational capability provided by the GPU, which enables a programmer to utilize the parallel processing functionality of NVIDIA GPUs.

The CUDA platform is an extension of the C language which enables the programmer to access GPU functionality for parallel processing.

At the time of writing, Studio contains full 3D rendering capability and has the following functionality: interactive parallel coordinate plots, scatterplot, visual classifier, 2D map and image viewer, sophisticated colour selection (including Munsell colour-space), spreadsheet, statistics package, and supervised and unsupervised neural networks.

Overall, our study quantifies vast differences in performance and functionality of parallel file systems across state-of-the-art platforms – showing I/O rates that vary up to 75× on the examined architectures – while providing system designers and computational scientists a lightweight tool for conducting further analysis.

Human TAp63α transfected in human SAOS-2 cells was analyzed in parallel to verify the functionality of the assay.