Search Results - parallel execution _ algorithm
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…Eventually, the workflow is executed. The second algorithm is a variation in first algorithm in which data parallelism is introduced in each partition. …”
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Thesis -
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Parallel implementation on improved error signal of backpropagation algorithm
Published 2001“…Experimental results shows that the execution time of the parallel version is much less than the execution time of the sequential version. …”
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Thesis -
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Parallel Execution of Runge-Kutta Methods for Solving Ordinary Differential Equations
Published 2004“…The numerical results show that the parallel algorithms of diagonally implicit Runge-Kutta (DIRK), block explicit Runge-Kutta (BERK) and block diagonally implicit Runge-Kutta (BDIRK) methods is better than sequential modes because the parallel execution time is smaller than sequential execution time.…”
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An Experimental Study on Relationship between Performance and Energy Consumption of Serial and Parallel Text Searching Algorithm.
Published 2013“…In this paper, text searching algorithm is using to study the relationship between performance of computer and amount of energy produced in serial and parallel text searching algorithm. …”
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Final Year Project -
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Parallel execution of diagonally implicit Runge-Kutta methods for solving IVPs.
Published 2009“…Numerical results based on the sequential and parallel modes are tabulated and compared, which shows the advantage of the algorithms based on the parallel mode.…”
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Solving traveling salesman problem on cluster compute nodes
Published 2009“…Our main aim by creating the parallel algorithm is to accelerate the execution time of solving TSP. …”
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Parallelization Of CCSDS Hyperspectral Image Compression Using C++
Published 2018“…The program is then tested in several systems with different number of threads. The execution of parallelized CCSDS-MHC algorithm shows significant speedup for all the system and hyperspectral image tested.…”
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Monograph -
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A Parallel new high order iterative algorithm on shared memory multiprocessors parallel computer
Published 2004“…This algorithm shows drastic reduction in execution time as compared to the standard high-order points iterative algorithm. …”
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Parallel genetic algorithms for shortest path routing in high- performance computing / Mohd Erman Safawie Che Ibrahim
Published 2012“…This project focuses on step-up cluster computing and a parallel Genetic Algorithm. The objectives of this project to set-up Beowulf cluster computer to apply the Travelling Salesman Problem in parallel by using Genetic Algorithms and evaluate sequential algorithms and parallel algorithms by Genetic Algorithms. …”
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Thesis -
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The division free parallel algorithm for finding determinant
Published 2013“…A cross multiplication method for determinant was generalized for any size of square matrices using a new permutation strategy.The permutation is generated based on starter sets.However, via permutation, the time execution of sequential algorithm became longer.Thus, in order to reduce the computation time, a parallel strategy was developed which is suited for master and slave paradigm of the high performance computer.A parallel algorithm is integrated with message passing interface.The numerical results showed that the parallel methods computed the determinants faster than the sequential counterparts particularly when the tasks were equally allocated.…”
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Parallel backpropagation neural network training for face recognition
Published 2023“…We also compare sequential and parallel algorithm execution times and conducted speedup analysis for both the methods. …”
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A GPGPU Approach to Accelerate Ant Swarm Optimization Rough Reducts (ASORR) Algorithm
Published 2012“…This paper proposed an parallel approach to accelerate the execution time of ASORR algorithm which is utilizing GPGPU that supports high speed parallel computing. …”
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Conference or Workshop Item -
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Reference-pulse CNC parametric curve real-time interpolator parallel algorithm using parallel programming
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Working Paper -
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Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes
Published 2007“…They have to be optimized for parallel execution while some parts still do have sequential execution due to data dependencies, which makes the optimization problem two folds, parallel and serial. …”
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Research Report -
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Parallel block methods for solving higher order ordinary differential equations directly
Published 1999“…A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
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Parallel Optical Window Algorithm Applied to Optical Multistage Interconnection Network
Published 2008“…In this paper, a new parallel algorithm of the window method is developed called the Balanced Parallel Window Method (BPWM) algorithm. …”
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Article -
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…This routing problem is an NPhard problem. Many algorithms are designed by many researchers to perform this routing such as window method, sequential algorithm, degree-descending algorithm, simulated annealing algorithm, genetic algorithm and ant colony algorithm.This thesis explores two approaches, sequential and parallel approaches. …”
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Thesis -
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Analysis of evolutionary computing performance via mapreduce parallel processing architecture / Ahmad Firdaus Ahmad Fadzil
Published 2014“…Despite these advantages, EC suffers from long execution time due to its parallel nature. Therefore, this research explores the prospect of speeding up the EC algorithms specifically GA and PSO via MapReduce (MR) parallel processing framework. …”
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Thesis -
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…These complex systems have designed to solve various types of problems from different areas, resulting in high-demanding Heterogeneous Parallel Applications (HPAs). HPAs use parallel processors and assist in parallel execution of tasks with complex interdependency between data and operations. …”
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