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A Massively Parallel Re-Configurable Mesh Computer Emulator: Design, Modeling and Realization

Journal of Software Engineering and Applications 2010年第1期3卷 11-26页

作者： mohamed youssfi Omar BOUATTANE mohamed O. BENSALAH 不详

Emulating massively parallel computer architectures represents a very important tool for the parallel programmers. It allows them to implement and validate their algorithms. Due to the high cost of the massively parallel real machines, they remain unavailable and not popular in the parallel computing community. The goal of this paper is to present an elaborated emulator of a 2-D massively parallel re-configurable mesh computer of size n x n processing elements (PE). Basing on the object modeling method, we develop a hard kernel of a parallel virtual machine in which we translate all the physical properties of its different components. A parallel programming language and its compiler are also devel-oped to edit, compile and run programs. The developed emulator is a multi platform system. It can be installed in any sequential computer whatever may be its operating system and its processing unit technology (CPU). The size n x n of this virtual re-configurable mesh is not limited;it depends just on the performance of the sequential machine supporting the emulator.

关键词： Parallel processing Object Modeling Re-Configurable Mesh Computer Emulation XML Parallel Virtual Machine

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Distributed C-Means Algorithm for Big Data Image Segmentation on a Massively Parallel and Distributed Virtual Machine Based on Cooperative Mobile Agents

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Journal of Software Engineering and Applications 2015年第3期8卷 103-113页

作者： Fatéma Zahra Benchara mohamed youssfi Omar Bouattane Hassan Ouajji Mohammed Ouadi Bensalah Laboratory SSDIA ENSET Mohammedia University Hassan II of Casablanca Casablanca Morocco FSR University Mohammed V Rabat Morocco

The aim of this paper is to present a distributed algorithm for big data classification, and its application for Magnetic Resonance Images (MRI) segmentation. We choose the well-known classification method which is the c-means method. The proposed method is introduced in order to perform a cognitive program which is assigned to be implemented on a parallel and distributed machine based on mobile agents. The main idea of the proposed algorithm is to execute the c-means classification procedure by the Mobile Classification Agents (Team Workers) on different nodes on their data at the same time and provide the results to their Mobile Host Agent (Team Leader) which computes the global results and orchestrates the classification until the convergence condition is achieved and the output segmented images will be provided from the Mobile Classification Agents. The data in our case are the big data MRI image of size (m × n) which is splitted into (m × n) elementary images one per mobile classification agent to perform the classification procedure. The experimental results show that the use of the distributed architecture improves significantly the big data segmentation efficiency.

关键词： Multi-Agent System Distributed Algorithm Big Data Image Segmentation MRI Image C-Means Algorithm Mobile Agent

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ON SINGULAR EQUATIONS INVOLVING FRACTIONAL LAPLACIAN

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Acta Mathematica Scientia 2020年第5期40卷 1289-1315页

作者： Ahmed youssfi Ghoulam OULD mohamed MAHMOUD National School of Applied Sciences Sidi mohamed Ben Abdellah University-Fez Laboratory of Mathematical Analysis and Applications My Abdellah Avenue Road ImouzerP.O.Box 72 Fes-Principale30000FezMorocco National School of Applied Sciences Sidi mohamed Ben Abdellah University-Fez My Abdellah Avenue Road ImouzerP.0.Box 72 Fes-Principale30000FezMorocco

We study the existence and the regularity of solutions for a class of nonlocal equations involving the fractional Laplacian operator with singular nonlinearity and Radon measure data.

关键词： fractional Laplacian singular elliptic equations measure data

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STRONGLY NONLINEAR VARIATIONAL PARABOLIC EQUATIONS WITH p(x)-GROWTH

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Acta Mathematica Scientia 2016年第5期36卷 1383-1404页

作者： Elhoussine AZROUL Badr LAHMI Ahmed youssfi Department of Mathematics Faculty of Sciences Dhar El Mahraz University Sidi Mohamed Ben AbdellahLaboratory LAMA University Sidi mohamed Ben Abdellah National School of Applied Sciences Laboratory of Engineering Systems and Applications

We study the Dirichlet problem associated to strongly nonlinear parabolic equations involving p（x） structure in W;L;（Q）. We prove the existence of weak solutions by applying Galerkin’s approximation method.

关键词： nonlinear parabolic equations existence variable exponents weak solution

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