Search Results - (( parallel optimization method algorithm ) OR ( process implementation from algorithm ))
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Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
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Thesis -
2
Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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3
Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture
Published 2018“…We are able to eliminate the bottleneck, the CRT algorithm from our previous implementation by replacing it with another level of CTFNT and hence increased the multiplication operand size to 4096, 192K, 384K and 768K-bit.In our FPGA implementation, we focused on designing the processing unit ourselves that is capable of computing 3072-bit multiplication. …”
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4
The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…The experimental results show that c=5, which is consistent for cost function with the ideal silhouette coefficient of 1, is the optimal number of clusters for this dataset. A comparative study is done to validate the proposed algorithm by implementing the other contemporary algorithms for the same dataset. …”
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Distributed parallel deep learning with a hybrid backpropagation-particle swarm optimization for community detection in large complex networks
Published 2022“…The proposed method is implemented in multi-machines with central processing unit (CPU) and graphics processing unit (GPU) devices. …”
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6
Speed Efficient Hardware Implementation Of Advanced Encryption Standard (Aes)
Published 2017“…The methods of optimization include on the fly computations and looping architecture, where all these of methods reduce the speed. …”
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7
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…From the algorithm, disparity mapping algorithm such as Semi-global block algorithm is found out to be inaccurate and complex. …”
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8
A parallel ensemble learning model for fault detection and diagnosis of industrial machinery
Published 2023“…Deep learning has recently emerged as effective methods for machine FDD applications. However, the gradient descent optimization method that is commonly used in deep learning suffers from several limitations, such as high computational cost and local sub-optimal solutions. …”
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9
Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…For the hardware architecture design, we choose bit-serial structure for implementing our algorithm to benefit from its advantages. …”
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10
Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…Modification and simplification using parallel processing are done for both methods to grossly search the optimal solution and to minimize the program running time, respectively. …”
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11
A novel large-bit-size architecture and microarchitecture for the implementation of Superscalar Pipeline VLIW microprocessors
Published 2008“…An adder algorithm using repetitive constructs in a parallel algorithm that allows for efficient and optimal synthesis for large data bus size is proposed as a suitable implementation for the adder within the ALU. …”
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12
Hybrid ANN and Artificial Cooperative Search Algorithm to Forecast Short-Term Electricity Price in De-Regulated Electricity Market
Published 2019“…Finally, the simulation results validated the premise of the proposed hybrid method through enhanced accuracy compared to the results acquired by implementing hybrid support vector machine (SVM) and hybrid ANN optimization methods. © 2013 IEEE.…”
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13
Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
Published 2010“…This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. …”
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14
Super Calculator using Compute Unified Device Architecture (CUDA)
Published 2009“…This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. …”
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Final Year Project -
15
CPU-based Application Transformation to CUDA: Transformation of CPU-based Applications To Leverage on Graphics Processors using CUDA
Published 2012“…This research focuses on measuring the performance of CUDA and implementing CUDA for a scientific computation involving the process of porting the source code from CPU to GPU using direct integration technique. …”
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16
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
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Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
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19
Design of field programmable gate array-based proportional-integral-derivative fuzzy logic controller with tunable ganin
Published 2010“…PIDFC is designed using VHDL language for implementation on FPGA device, and to employ the improved fuzzy algorithm that offer higher processing speed versus low utilization of chip resource. …”
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20
Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
Published 2015“…This was achieved by mitigating convergence in the genetic algorithms by employing a hierarchical parallel architecture. …”
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