scholarly journals Numerical Solution of Diffusion Models in Biomedical Imaging on Multicore Processors

2011 ◽  
Vol 2011 ◽  
pp. 1-16 ◽  
Author(s):  
Luisa D'Amore ◽  
Daniela Casaburi ◽  
Livia Marcellino ◽  
Almerico Murli
Keyword(s):  
Image Analysis ◽  
Parallel Computing ◽  
Multicore Processors ◽  
Nonlinear Partial Differential Equations ◽  
Numerical Algorithms ◽  
Computing Environment ◽  
Fully Implicit ◽  
Discretization Schemes ◽  
Comparison Criteria

In this paper, we consider nonlinear partial differential equations (PDEs) of diffusion/advection type underlying most problems in image analysis. As case study, we address the segmentation of medical structures. We perform a comparative study of numerical algorithms arising from using the semi-implicit and the fully implicit discretization schemes. Comparison criteria take into account both the accuracy and the efficiency of the algorithms. As measure of accuracy, we consider the Hausdorff distance and the residuals of numerical solvers, while as measure of efficiency we consider convergence history, execution time, speedup, and parallel efficiency. This analysis is carried out in a multicore-based parallel computing environment.

Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine

2019 ◽  
Vol 53 (1) ◽  
pp. 20-32
Author(s):  
Tanvir Habib Sardar ◽  
Ahmed Rimaz Faizabadi
Keyword(s):  
Parallel Computing ◽  
Real Time ◽  
Design Methodology ◽  
Original Work ◽  
Multicore Processors ◽  
Numerical Algorithms ◽  
Huge Amount ◽  
Content Type ◽  
Programming Paradigm ◽  
Symmetric Multiprocessing

PurposeIn recent years, there is a gradual shift from sequential computing to parallel computing. Nowadays, nearly all computers are of multicore processors. To exploit the available cores, parallel computing becomes necessary. It increases speed by processing huge amount of data in real time. The purpose of this paper is to parallelize a set of well-known programs using different techniques to determine best way to parallelize a program experimented.Design/methodology/approachA set of numeric algorithms are parallelized using hand parallelization using OpenMP and auto parallelization using Pluto tool.FindingsThe work discovers that few of the algorithms are well suited in auto parallelization using Pluto tool but many of the algorithms execute more efficiently using OpenMP hand parallelization.Originality/valueThe work provides an original work on parallelization using OpenMP programming paradigm and Pluto tool.

scholarly journals Steganography Training: a Case Study from University of Shumen in Bulgaria

2016 ◽  
Vol 62 (3) ◽  
pp. 315-318
Author(s):  
Stanimir Stanev ◽  
Krzysztof Szczypiorski
Keyword(s):  
Parallel Computing ◽  
Network Security ◽  
Learning Outcomes ◽  
Professional Training ◽  
Continuous Process ◽  
Computing Environment ◽  
Scientific Publications ◽  
Network Steganography

Abstract This paper summarizes the experience and the learning outcomes of students of the “Informatics” specialty at the Episkop Konstantin Preslavsky University of Shumen (Bulgaria) on the problems of computer and network security as a component of their professional training. It is a continuous process starting from the “Computer steganography” course and turning into diploma papers, masters programs, specializations and PhDs in computer and network steganography. The outcome of this training would be bachelors and masters theses, practical activities of experimentation of stego software and steganology in a parallel computing environment, joint scientific publications of lecturers and students.

scholarly journals A Fully Implicit Finite Volume Scheme for a Seawater Intrusion Problem in Coastal Aquifers

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1639
Author(s):  
Abdelkrim Aharmouch ◽  
Brahim Amaziane ◽  
Mustapha El Ossmani ◽  
Khadija Talali
Keyword(s):  
Finite Volume ◽  
Coastal Aquifers ◽  
Nonlinear Partial Differential Equations ◽  
Time Integration ◽  
Mass Conservation ◽  
Coupled System ◽  
Finite Volume Scheme ◽  
Time Step ◽  
Volume Scheme ◽  
Fully Implicit

We present a numerical framework for efficiently simulating seawater flow in coastal aquifers using a finite volume method. The mathematical model consists of coupled and nonlinear partial differential equations. Difficulties arise from the nonlinear structure of the system and the complexity of natural fields, which results in complex aquifer geometries and heterogeneity in the hydraulic parameters. When numerically solving such a model, due to the mentioned feature, attempts to explicitly perform the time integration result in an excessively restricted stability condition on time step. An implicit method, which calculates the flow dynamics at each time step, is needed to overcome the stability problem of the time integration and mass conservation. A fully implicit finite volume scheme is developed to discretize the coupled system that allows the use of much longer time steps than explicit schemes. We have developed and implemented this scheme in a new module in the context of the open source platform DuMu X . The accuracy and effectiveness of this new module are demonstrated through numerical investigation for simulating the displacement of the sharp interface between saltwater and freshwater in groundwater flow. Lastly, numerical results of a realistic test case are presented to prove the efficiency and the performance of the method.

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