Sentence examples for highly parallel hardware from inspiring English sources

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The Fast TracKer (FTK) trigger system, part of the ATLAS trigger upgrade program, is a highly parallel hardware device designed to perform track-finding at 100 kHz.

Trends in processor architecture (multicore and multithreaded), and the increasing importance of highly parallel hardware such as graphics cards in scientific computation, underscore the importance of optimizing applications for parallel workloads.

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The FTK is a highly-parallel hardware system intended to provide high-quality tracks with transverse momentum above 1 GeV/c.

To efficiently meet the computational demands of modelling unsteady three-dimensional turbulent flow in complex tidal zone terrains, highly parallel GPU hardware are utilized.

This paper presents an architecture that combines VLIW (very long instruction word) processing with the capability to introduce application-specific customized instructions and highly parallel combinational hardware functions for the acceleration of signal processing applications.

In this paper, we describe a novel application of an existing Lagrangian dispersion modeling system to achieve real-time simulation and visualization of an urban plume that a user can interact with in a virtual environment (VE) through the utilization of commodity graphics hardware, utilizing the highly parallel computational capabilities available on graphics processing units (GPU).

Modern graphics hardware is designed for highly parallel numerical tasks and promises significant cost and performance benefits for many scientific applications.

This paper is devoted to the design of scalable communication architectures of massively parallel hardware multi-processors for highly-demanding applications.

These Volunteer Computing (VC) systems harness computing resources from machines running commodity hardware and software, and perform highly parallel computations that do not require any interaction between network participants (also called bag-of-tasks).

These Volunteer Computing VCC) systems harness computing resources from machines running commodity hardware and software, and perform highly parallel computations, also called Bag-of-Tasks (BoT), that do not require any interaction between network participants.

DRAGEN accelerated these steps by highly parallel alignments to a sorted reference genome and customized high-memory computer hardware with high IO throughput.

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