ENGINEERING RESEARCH PAPERS

parallel-computing research papers 2014




Parallel Computing to Speed up Whole-Genome Analyses Using Independent Metropolis-Hastings Sampling
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ABSTRACT: Bayesian multiple regression methods are widely used in whole-genome analyses by constructing a Markov chain with a stationary distribution equal to the posterior distribution of unknown parameters. In wholegenome analyses, chains of about 50,000

Computing schemes for longitudinal train dynamics: sequential, parallel and hybrid
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implemented on PCs. Keywords: parallel computing, hybrid computing, longitudinal train dynamics, computational efficiency 1 Introduction With the rapid advancements of computing hardware, parallel computing has become a popular option to improve the computationally

Heterogeneous Parallel Computing: from Clusters of Workstations to Hierarchical Hybrid Platforms
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The paper overviews the state of the art in design and implementation of data parallel scientific applications on heterogeneous platforms. It covers both traditional approaches originally designed for clusters of heterogeneous workstations and the most recent

Model Computation Reliability of Precipitation over NE India using Parallel ComputingTechnique: A Comparative Assessment between Varsha, IMD and
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Abstract:Abstract The Varsha, a spectral hydrostatic general circulation model is run regularly at a 8-processor Flosolver machine at Gauhati University (26º 10'N, 91º 45'E), with the aims to predicting track of cyclones generated at the Bay of Bengal and forecasting

XcalableACC-a Directive-based Language Extension for Accelerated Parallel Computing
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A type of parallel computer, such as GPU clusters, which is composed of multiple nodes equipped with accelerator devices has become a popular HPC platform. In fact, four of the top ten supercomputers in the latest TOP500 list are of this type. We call it accelerated

Hybrid Numerical Method for Heat Equation with Nonlocal Boundary Conditions in Parallel Computing Environment
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Abstract: A numerical method is developed for solving parabolic partial differential equations with integral boundary conditions. The method is moderately sixth-order accurate due to merging of sixth order finite difference scheme and fifth order Pade's approximation.

Large scale mosaic using parallel computing for remote sensed images
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Abstract. This paper concerns about Large-scale mosaic for remote sensed images. Base on High Performance Computing system, we offer a method to decompose the problem and integrate them with logical and physical relationship. The mosaic of Large-scale remote

USING PARALLEL COMPUTING IN QUEUEING NETWORK SIMULATION
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Queueing networks models are one of the most popular tools of mathematical modeling of various physical systems: telecommunica tion networks, distributed data processing systems, transportation networks, network models of cash flows, etc. Unfortunately, analy

Languages and Compilers for Parallel Computing
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The 19th Workshop on Languages and Compilers for Parallel Computing was held in November 2006 in New Orleans, Louisiana USA. More than 40 researchers from around the world gathered together to present their latest results and to exchange ideas on topics

A Genetic Algorithm to Solve the Subset Sum Problem based on Parallel Computing
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Abstract: The subset sum problem is to find subsets in a given number set, meanwhile number sum of the subset is equal to appointed value. It is a classical NP-complete problem in graph theory. It can be solved by the electronic computer in exponential time. In this

Analysis of effectiveness of communication overheads in the parallel computing system using stochastic colored petri nets
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Abstract: In architectures of parallel computing system, which has a large number of processing nodes, communication overhead is an important metric to evaluate and minimize by improving computation speedup solutions. In this paper, we propose using Stochastic

Evaluation on High Level Synthesis for Parallel Computing in FPGA
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Abstract: The trends in technology are improving in almost all areas of application that varies from consumer goods, industrial application, electronic gadgets and communication. As the technological trends are improving the complexity in electronic design increases along

SERIAL COMPUTING vs. PARALLEL COMPUTING: A COMPARATIVE STUDY USING MATLAB
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Abstract:parallel computing has been around for many years but it is only recently that interest has grown due to the introduction of multi core processor at a reasonable price for the common people. The goal of this paper is to analyze and compare serial algorithm

Parallel Computing of Euler Equation using Multiple Graphics Processor Units
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Abstract An explicit cell-centered finite-volume solver for the Euler equation using a ghost- cell immersed boundary method using multiple graphics processor units with hybrid MPI- CUDA paradigm is reported. The solver was thoroughly validated with previously

Application of Parallel Computing in Feature Point Extraction Processing of Remote Sensing Images
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Seabed Image Texture Clustering Using Parallel Computing
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Abstract:Seabed image clustering is the one of the most important applications in sonar imaging. Due to textured appearance of sonar images, texture analysis methods are a common choice for seabed acoustic images. The subsampled contourlet transform is a

Parallel Computing of Icing on Three-dimensional Airfoils
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In aerospace Engineering, the accurate simulation of ice accretion is a key element to increase flight safety and avoid accidents related to icing effects. The icing code developed in the NSMB solver [1] is based on an Eulerian formulation for droplets tracking, an

Parallel Method for Computing Elliptic Curve Scalar Multiplication Based on MOF
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The proposed method is an efficient ECC scalar multiplication that achieves a 90% speed-up compared to the existing methods. Keywords: ECC, MOF, circular buffer, parallel computing. His current research interests are parallel computing and information security.

Operating System for Parallel Computing: Issues and Problems
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Parallel computing attempts to solve many complex problems by using multiple computing resources simultaneously. This review paper is intended to address some of the major operating systems' design issues for shared memory parallel computers like SMPs.

The Research of Synthesizing Parallel Computing Models with Graph Reduction.
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Abstract The demands of data analysis and processing make the parallel computing platforms are continuously developed. But the existing parallel computing models which are the core of platforms present the characteristics of diversification, high pertinence and

An Overview of the Message Passing Programming Method in Parallel Computing
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Abstract This paper determines the computational strength of the shared memory abstraction (a register) emulated over a message passing system and compares it with fundamental message passing abstractions like consensus and various forms of reliable broadcast.

Real-Time Hair Simulation with Parallel Computing
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Abstract:A method for real-time hair simulation using Nvidia's Compute Unified Device Architecture (CUDA) is presented in this paper. Combining the parallel computing approach with a fast integration scheme for physics results in a simulation capable of simulating

Parallel computing for numerical calculations of step-index optical fibers eigenmodes by collocation method
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We study natural modes of weakly guiding optical fibers. The original problem is reduced to a nonlinear nonselfadjoint spectral problem for the set of weakly singular boundary integral equations. The integral operator is approximated by collocation method. We propose to

Data Structures and Algorithms for Data-Parallel Computing in a Managed Runtime
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It is difficult to come up with an original introduction for a thesis on parallel computing in an era when the same story has been told over and over so many times. So many paper abstracts, technical reports, doctoral thesis and funding requests begin in the same way–

A Bibliography of Publications in Parallel Computing
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(k) [HRR08a]. () [Kam87]. (r8, n1/2, s1/2) [Hoc85b]. (r8,n1/2) [Tem89]. 0/1 [CJ92, MS99b]. 1 [Tak03, Ume01, YL86]. 2 [AW13, BSE88, BAS13, Cap88, DZD01, EY86, Lee97, Mar92, MM96b, RVGG01, TT00, WSR14, YL86]. 2, 576, 980, 370, 000 [Tak10]. 2k [DT95]. 3

Efficient Method for Parallel Process and Matching of Large Data set in Grid Computing Environment
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For certain applications, Distributed or grid computing, which will be seen as a particular type of parallel computing that relies on complete computers connected to a network by a conventional network interface, such as Ethernet .This an difference to the usual concept of a

Parallel computing in the PRIZMA code
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Monte Carlo codes are considered to be inherently parallel. Unlike many other techniques where only some sparse code fragments can be parallelized, the Monte Carlo method allows parallelization of the entire code. That is why Monte Carlo codes are easily run on

CHALLENGES, LIMITATIONS, AND SUCCESS OF CLOUD COMPUTING FOR PARALLEL SIMULATION OF MULTIPLE SCENARIO AND CO-SIMULATION
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Both multiple scenario analysis and singular scenario co-simulation with different tools can benefit from parallel computing solution; however, each has its challenges, like big data analytics and communication optimization.

Using cluster parallel computing in the content of information-didactic system
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Abstract. The article examines questions the developed by the authors, information-didactic system, into the content which are incorporated into the learning process special courses, including a course on parallel computing. And also gives the experimental examples for

Parallel Computing and Monte Carlo Methods
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For more on this, take distributed computing course next semester. We give a brief glimpse here. Will use Rocket, Fortran (primarily Fortran90 though knowledge of F ortran77 is still useful) and MPI, though similar ideas and methods work on other parallel computers such the National University of Defense Technology. Her current research interests include distributed and parallel computing, skyline queries, and data stream management. 1 Introduction In recent years, uncertain data management

Modeling of single computing nodes of parallel computers
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coupled processors and memories (supercomputers). Parallel computing on a network of workstations connected by high speed networks has given rise to a range of hardware and network related issues on any given platform

On the parallel iterative solution of linear systems arising in the FEAST algorithm for computing inner eigenvalues
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Achim Basermann), lang@math.uni-wuppertal.de (Bruno Lang) Preprint submitted to Parallel Computing November 4, 2014 Page 3. Preprint– Preprint– Preprint– Preprint– Preprint– Preprint for several complex shifts z and an N

A Mathematical Framework for Parallel Computing of Discrete-Time Discrete-Frequency Transforms in Multi-Core Processors
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Abstract: This paper presents a mathematical framework for a family of discrete-time discrete- frequency transforms in terms of matrix signal algebra. The matrix signal algebra is a mathematics environment composed of a signal space, a finite dimensional linear

Unified analytical models in parallel and distributed computing
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In this way parallel computing on networks of conventional PC workstations (single, multiprocessor, multicore) and Internet computing, suggest advantages of unifying parallel and distributed computing. Parallel computing and

Heterogeneous Computing and Grid Scheduling with Hierarchically Parallel Evolutionary Algorithms
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The population is divided into isolated sub-populations, each of which is allocated to one node. Following that, on the processors of each node, massive parallel computing to evaluate the individuals, is a master-slave and problem independent and regular data-parallel Page 4.

Simulating the Krusell-Smith algorithm in parallel using GPU computing
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Page 1. Simulating the Krusell-Smith algorithm in parallel using GPU computing Michael C. Hatcher* Eric M. Scheffel† September 19, 2014 Abstract This paper demonstrates the potential of graphics processing units (GPUs

Simulation of Hydraulic Fracture Networks in Three Dimensions Utilizing Massively Parallel Computing Resources
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Summary This paper describes verification of a fully three-dimensional, massively parallel, finite element based simulation framework (GEOS) for addressing the fully coupled, hydro- mechanical behavior of jointed and fractured unconventional reservoirs to hydraulic

Modeling of communication complexity in parallel computing
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Abstract: Parallel principles are the most effective way how to increase parallel computer performance and parallel algorithms (PA) too. Parallel using of more computing nodes (processors, cores), which have to cooperate each other in solving complex problems in a

Modeling of parallel computers based on network of computing
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This article goes further in applying the achieved analytical results in queuing theory for complex performance evaluation in parallel computing [9, 14]. 2. 3.2. Network of Workstations Network of workstations belongs to actually dominant trends in parallel computing.

Load Balancing Dynamically in Distributed and Parallel Computing System with Process Execution Time
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Abstract To improve distributed and parallel system performance the load balancing techniques are extensively using that is a process of redistribution of work load among multiple servers in distributed computer systems. In recent research and literature, various

LITERATURE REVIEW: Parallel Computing Approach of the Reverse-Delete Algorithm for finding Minimum Bottleneck Spanning Tree and Minimum Spanning
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The world of computing lead people to the thinking of optimizing all the solutions, ie finding the best solution to a problem from the set of all feasible solutions. Many such problems require lots of processing time and power especially with problems consisting of

Parallel computing techniques on enhancement of thermal-hydraulic analysis of. uid. ow networked systems
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Abstract. The considerable computation time of a practical application of sequential algorithms for simulating thermal and flow distribution in fluid flow networked systems (FFNS's) is the motivating factor to study their parallel implementation. The mathematical

An Approach to Efficiently Calculating Dodgson-Scores Using Heuristics and Parallel Computing
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Abstract The objective of this thesis will be to measure the practical limits of algorithms computing the exact Dodgson scores from a number of votes. While the problem itself is theoretically intractable, this work will feature five different solution which try different

An Survey to Parallel Embedded Computing
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and finally we will study a very good example that I found in 2014 papers of 11th IEEE International Conference on Embedded Software and Systems (ICESS), August 2014. I hope this article will help you to have a better vision of parallel computing and embedded systems. 3

A FAST MIDDLEWARE OF PARALLEL AND DISTRIBUTED VIRTUAL MACHINE BASED ON MOBILE AGENTS FOR HIGH PERFORMANCE COMPUTING
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KEYWORDS- Parallel computing, distributed computing, parallel virtual machine, middleware, multi-agent system, Load balancing. Therefore they need to implement new computation strategies based on parallel computing technology [2] to overcome these challenges.

FTCS finite difference scheme GPGPU parallel computing for the heat conduction equation= Programación en paralelo GPGPU del método en diferencias
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En el presente artículo se muestran las ventajas de la programación en paralelo resolviendo numéricamente la ecuación del calor en dos dimensiones a través del método de diferencias finitas explícito centrado en el espacio FTCS. De las conclusiones de este

OF MESH RESOLUTION ON THE SIMULATION OF SEVERE THUNDERSTORM: THE NEED OF PARALLEL COMPUTING AND DISTRIBUTED TECHNIQUES
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Abstract:In the design of civil structures, it is necessary to consider the effect of the dynamic loads caused by changes in meteorological conditions such as wind speeds or ice deposits. In Argentina, the Standard of the Argentine Electrotechnical Association (AEA, 2006) is

A Parallel Computing-a Paradigm to achieve High Performance
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Abstract-Over last few years there has been rapid changes found in computing field. today, we are using the latest upgrade system which provides the faster output and high performance. User view towards computing is only to get the correct and fast result. There

Analysis of illumination conditions at the lunar south pole using parallel computingtechniques
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Lunar exploration is a crucial part of space history. Starting in the 1960's, several mission have landed, orbited and driven on the Moon until the late 1970's, when the lunar exploration race decreased its activities. With the beginning of the new century, the Moon



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