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Its design and implementation are able to improve functional efficiency, general service quality, level of ensured safety and environmental functioning of both the Russian and international transport systems.
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Our method is implemented in parallel and the current implementation is able to handle systems with at least thousands of atoms.
The implementation is able to perform up to 4.1⋅109 Monte Carlo moves per second.
A MATLAB implementation is able to classify more than 5000 spikes per second on a modern workstation.
The implementation is able to handle general curvilinear coordinates, for which restriction and prolongation formulae are presented along with boundary treatments at 'singular' boundaries.
Results show that the present implementation is able to exhibit good stability and accuracy properties for high Reynolds number flows with unstructured meshes.
In this context, the proposed implementation is able to work in real time with high-resolution spatial grids and using up to 48 microphones.
Disparity map quality evaluations on Middlebury benchmark and real-world outdoor scenery show that the proposed implementation is able to generate high quality disparity maps.
At 166 MB/s (80X the software) the hardware implementation is able to achieve Gigabit network throughput at the same accuracy as the original algorithm.
Based on the hardware synthesis and theoretical analysis, it is demonstrated that the proposed implementation is able to mimic hippocampal oscillation modulation dynamics under external stimuli, which is vital for the reasonable design of noninvasive electrotherapeutic strategies.
Compared to the serial Louvain implementation, our parallel implementation is able to produce community outputs with a higher modularity for most of the inputs tested, in comparable number or fewer iterations, while providing absolute speedups of up to 16× using 32 threads.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com