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Performance Comparison of Parallel Bees Algorithm on Rosenbrock Function
Published 2012“…This thesis presents the parallel Bees Algorithm as a new approach for optimizing the last results for the Bees Algorithm. …”
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Parallelizing GF (p) montgomery elliptic curve crypto-system operations to improve security and performance.
Published 2012“…Hardware implementations with target FPGA for GF (p) Montgomery ECC are also presented. The best performance level was achieved when parallelizing Montgomery ECC computations to eight parallel multipliers (PM) using homogeneous coordinates. …”
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Parallelizing GF (p) montgomery elliptic curve crypto-system operations to improve security and performance.
Published 2013“…Hardware implementations with target FPGA for GF (p) Montgomery ECC are also presented. The best performance level was achieved when parallelizing Montgomery ECC computations to eight parallel multipliers (PM) using homogeneous coordinates. …”
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Book Section -
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Efficient Sequential and Parallel Routing Algorithms in Optical Multistage Interconnection Network
Published 2005“…The efficient combination of simulated annealing algorithm with the best heuristic algorithms gave much better result in a very minimal time. …”
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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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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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Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
Published 2003“…In order to reduce the computational demand when training with large data of proteins, an interface was developed using the data parallel approach to parallelize the training phase of the classifier and other accompanying methods such as data clustering algorithms. …”
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A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
Published 2023“…To address this issue, we proposed a novel algorithm called F-Emotion to select speech emotion features and established a parallel deep learning model to recognize different types of emotions. …”
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A parallel-model speech emotion recognition network based on feature clustering
Published 2023“…To address this issue, we proposed a novel algorithm called F-Emotion to select speech emotion features and established a parallel deep learning model to recognize different types of emotions. …”
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Accelerating DNA sequence alignment based on smith waterman algorithm using recursive variable expansion / Muhamad Faiz Ismail
Published 2014“…Reconfigurable computing, in which general purpose processor (GPP) is increasingly used for high performance computing where massive fine-grain parallelism can be exploited. …”
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Thesis -
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Design and performance evaluation of parallel elliptic curve cryptosystem with GF(P) projective coordinates
Published 2012“…To improve performance even further, this work proposed using parallel hardware designs by utilizing the inherent parallelism in ECC computations. …”
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Development of Lifting-based VLSI Architectures for Two-Dimensional Discrete Wavelet Transform
Published 2010“…Finally, to show the architectural models developed for 2-D DWT are simple to control, the control algorithms for 4-parallel architecture based on the first scan method is developed. …”
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Hybrid harmony search-artificial intelligence models in credit scoring
Published 2019“…To further enhance the computational efficiency, the MHS hybrid models are parallelized. …”
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