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1
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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2
Enhancing performance of XTS cryptography mode of operation using parallel design
Published 2009“…These limitations in XTS have been successfully overcome by the enhanced parallel XTS mode of operation which gives a 1.80 speedup factor with 90 percent efficiency using AES as an encryption algorithm. …”
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3
Guided genetic algorithm for solving unrelated parallel machine scheduling problem with additional resources
Published 2022“…Here, we proposed genetic algorithm (GA) to solve the UPMR problem because of the robustness and the success of GA in solving many optimization problems. …”
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4
Enhancing Secure Sockets Layer Bulk Data Trnsfer Phase Performance With Parallel Cryptography Algorithm
Published 2007“…The existing sequential and the proposed parallel algorithms were simulated successfully while preserving security properties. …”
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5
Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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6
Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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7
Parallel Implementation Of Field Visualizations With High Order Tetrahedral Finite Elements
Published 2013“…The results show that computational times taken in the data post-processing significantly decreases when multicore parallel processing is enabled. …”
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8
A spark-based parallel fuzzy C median algorithm for web log big data
Published 2022“…Based on the Rand Index and SSE (sum of squared error), the parallel Fuzzy C median algorithm's performance is evaluated in the PySpark platform. …”
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9
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…The first step lies at the modelling of parallel applications running on heterogeneous parallel computers. …”
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10
An embedded database design and implementation of a parallel IEEE XTS storage encryption for mobile devices
Published 2017“…Additionally, the developed parallel SQLite-XTS system have been successfully implemented and integrated into the mobile testbed device. …”
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11
Automatic label removal from digitized weld radiographs
Published 2007“…The algorithm was tested on 50 weld radiographs with labels and the labels on 90% of these images were successfully removed.…”
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12
New CFAR algorithm and circuit development for radar receiver
Published 2020“…Therefore, the MSS-CA-CFAR is chosen to implement by practical digital circuit and there is another important feature in the MSS-CFAR algorithm that is parallel processing since the spike selection process is done at the same time with summing of samples process that makes this algorithm much less in processing time from any other algorithm using the same environment. …”
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13
Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
Published 2017“…Genetic algorithm is chosen for the development of the prototype to prove that genetic algorithm is the best technique to implement for optimization. …”
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14
Optimal placement of static VAR compensator using genetic algorithms
Published 2008“…The existence of the multiple solutions in the optimal placement of reactive power in the power system typically often get stuck at the local optimum rather than at the global optimum. Genetic Algorithms (GAs) are stochastic searching algorithms that make the searching process jumps randomly from point to point, thus allowing escape from the local optimum, and search for many sub-optimum points in parallel.This paper presents an evolutionary computation algorithm for enhancing voltage stability. …”
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15
Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
Published 2010“…The ported source code is then optimized by managing the resources to achieve performance gain over CPU. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
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16
Super Calculator using Compute Unified Device Architecture (CUDA)
Published 2009“…It is found that CUDA is able to boost the performance of the system up to 69 times in Parboil Benchmark Suite. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
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Final Year Project -
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Pembinaan dan pelaksanaan algoritma selari bagi kaedah kelas TTHS dan TTKS dalam menyelesaikan persamaan parabolik pada sistem komputer selari ingatan teragih
Published 2004“…This thesis encompasses studies on recent advances in the development of parallel algorithmic techniques to solve large-scale problems involving the solution of systems of linear equations. …”
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18
An Ensembel Model for Modelling Chaotic Behaviour of Bursa Malaysia Time Series Data
Published 2014“…Financial data is characterized as non-linearity, chaotic in nature and volatility thus making the process of forecasting cumber- some, hence a successful forecasting model must be able to capture long- term dependencies from chaotic data. …”
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CPU-based Application Transformation to CUDA: Transformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
Published 2012“…It is found that CUDA is able to boost the performance of the system up to 69 times in Parboil Benchmark Suite. Successful attempt at porting Serpent encryption algorithm and Lattice Boltzmann Method provided up to 7 times throughput performance gain and up to 10 times execution time performance gain respectively over the CPU. …”
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20
Generic DNA encoding design scheme to solve combinatorial problems
Published 2015“…However, DNA computing can solve the problem in linear time since the parallel processing power of DNA computing is able to generate a solution in a single process. …”
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