نتایج جستجو برای: parallel systems efficiency

تعداد نتایج: 1686987  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شیراز - دانشکده علوم 1391

in this thesis, we exploit a simple and suitable method for immobilization of copper(ii) complex of 4?-phenyl-terpyridine on activated multi-walled carbon nanotubes [amwcnts-o-cu(ii)-phtpy]. this nanostructure was characterized by various physico-chemical techniques. to ensure the efficiency and fidelity of copper species, the implementation of three-component strategies in click-chemistry all...

Journal: :Information and Control 1980

Journal: :IEEE Transactions on Control Systems Technology 1998

Journal: :IEEE Transactions on Parallel and Distributed Systems 2003

Journal: :Energies 2021

The use of series architecture nowadays is mainly on hybrid buses. In comparison with series-parallel and parallel architectures, which are usually exploited medium-size cars, the allows achieving internal combustion engine higher efficiency. downside this architecture, due to a double energy conversion (i.e., mechanical converted in electrical again energy), that additional losses introduced. ...

2013
Xian Ming Gu Ting Zhu Huang Biao Li

In this paper, getting an high-efficiency parallel algorithm to solve sparse block pentadiagonal linear systems suitable for vectors and parallel processors, stair matrices are used to construct some parallel polynomial approximate inverse preconditioners. These preconditioners are appropriate when the desired target is to maximize parallelism. Moreover, some theoretical results about these pre...

Journal: :CoRR 2015
Shen-Yi Zhao Wu-Jun Li

Stochastic gradient descent (SGD) and its variants have become more and more popular in machine learning due to their efficiency and effectiveness. To handle large-scale problems, researchers have recently proposed several parallel SGD methods for multicore systems. However, existing parallel SGD methods cannot achieve satisfactory performance in real applications. In this paper, we propose a f...

Journal: :Advances in Applied Probability 2020

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