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Xuerui Zheng, Jiping Jin, Yajun Wang, Min Yuan and Sheng Qiang
With the development of engineering technology, engineering has higher requirements for the accuracy and the scale of simulation calculation. The computational efficiency of traditional serial programs cannot meet the requirements of engineering. Therefo...
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Bruno Colonetti, Erlon Cristian Finardi and Welington de Oliveira
Independent System Operators (ISOs) worldwide face the ever-increasing challenge of coping with uncertainties, which requires sophisticated algorithms for solving unit-commitment (UC) problems of increasing complexity in less-and-less time. Hence, decomp...
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Stefan Dobrev, Paola Flocchini, Giuseppe Prencipe and Nicola Santoro
Consider a set of k identical asynchronous mobile agents located in an anonymous ring of n nodes. The classical Gather (or Rendezvous) problem requires all agents to meet at the same node, not a priori decided, within a finite amount of time. This proble...
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Renbo Pang, Fujiang Yu, Yu Zhang and Ye Yuan
I/O is often a performance bottleneck in global ocean circulation models with fine spatial resolution. In this paper, we present an asynchronous parallel I/O framework and demonstrate its efficacy in the Mass Conservation Ocean Model (MaCOM) as a case st...
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S.V. Vostokin,I.V. Bobyleva
Pág. 45 - 53
The article discusses the constructing of tasks dependencies graphs for many-task applications that perform parallel asynchronous data processing on the principle of round-robin sport tournament. The following components of the technique are described: t...
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John S. Venker, Luke Vincent and Jeff Dix
A Spiking Neural Network (SNN) is realized within a 65 nm CMOS process to demonstrate the feasibility of its constituent cells. Analog hardware neural networks have shown improved energy efficiency in edge computing for real-time-inference applications, ...
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Fatéma Zahra Benchara, Mohamed Youssfi, Omar Bouattane and Hassan Ouajji
The aim of this paper is to present a mobile agents model for distributed classification of Big Data. The great challenge is to optimize the communication costs between the processing elements (PEs) in the parallel and distributed computational models by...
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