Výsledky vyhledávání - "parallel algorithm"

PADDi: Highly Scalable Parallel Algorithm for Discord Discovery on Multi-GPU Clusters Autor Kraeva, Y. A., Zymbler, M. L.

“… In the article, we introduce a novel parallel algorithm called PADDi (PALMAD-based anomaly discovery on distributed GPUs…”
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An inertial parallel algorithm for a finite family of $ G $-nonexpansive mappings applied to signal recovery Autor Jun-on, Nipa, Suparatulatorn, Raweerote, Gamal, Mohamed, Cholamjiak, Watcharaporn

“…This study investigates the weak convergence of the sequences generated by the inertial technique combining the parallel monotone hybrid method for finding a…”
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Design and implementation of parallel algorithm for image matching based on Hausdorff Distance Autor Liu, Qiong, Peng, Hao, Chen, Jifeng, Gao, Haibo

“… Hausdorff Distance assumes a significant function in coordinating image. To proposed system parallel algorithm for image matching manage the instance of arbitrary commotion, image coordinating, new Hausdorff Distance is proposed…”
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A parallel algorithm for the global computation of elastic bar structures Autor Zsolt Gáspár, Gabor Domokos, Imre Szeberényi

“… (arbitrary displacements)computation of elastic bar structures subject to quasi-static loads…”
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Vertex-independent spanning trees in complete Josephus cubes Autor He, Qi, Wang, Yan, Fan, Jianxi, Cheng, Baolei

“…Vertex-independent spanning trees (short for VISTs) serve as pivotal constructs in numerous network algorithms and have been the subject of extensive research for three decades…”
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Parallel and Scalable Heat Methods for Geodesic Distance Computation Autor Tao, Jiong, Zhang, Juyong, Deng, Bailin, Fang, Zheng, Peng, Yue, He, Ying

“… of its gradients subject to integrability, which can be solved using an efficient first-order method that requires no linear system solving and converges quickly…”
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A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks Autor Yue, Kun, Fang, Qiyu, Wang, Xiaoling, Li, Jin, Liu, Weiyi

“… As the basis of realistic applications centered on probabilistic inferences, learning a BN from data is a critical subject of machine learning, artificial intelligence, and big data paradigms…”
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Robust active yaw control for offshore wind farms using stochastic predictive control based on online adaptive scenario generation Autor Wang, Yu, Wei, Shanbi, Yang, Wei, Chai, Yi

“…Subject to the inherent high uncertainty of wind, the prediction for its speed and direction may be insufficiently accurate, the resulting decision actions of active yaw control (AYC…”
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A new Green's function Monte Carlo algorithm for the estimation of the derivative of the solution of Helmholtz equation subject to Neumann and mixed boundary conditions Autor Chatterjee, Kausik

“…) algorithm to the estimation of the derivative of the solution of the one-dimensional (1D) Helmholtz equation subject to Neumann and mixed boundary conditions problems…”
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Uncertainty quantification through the Monte Carlo method in a cloud computing setting Autor Cunha, Americo, Nasser, Rafael, Sampaio, Rubens, Lopes, Hélio, Breitman, Karin

“… This methodology is illustrated on a problem of structural dynamics that is subject…”
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Computational Methods and Applications for Numerical Analysis

“…The present reprint contains the 20 articles accepted and published in the Special Issue “Computational Methods and Applications for Numerical Analysis” of the…”
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Parallel algorithm for setting WIP levels for multi-product CONWIP systems Autor Wang, L., Prabhu, V.

“… The paper proposes a card-setting algorithm for multiple product types subject to routing and throughput requirements…”
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Power consumption minimization by distributive particle swarm optimization for luminance control and its parallel implementations Autor Liao, Chih-Lun, Lee, Shie-Jue, Chiou, Yu-Shu, Lee, Ching-Ran, Lee, Chie-Hong

“…s. The power minimization problem is concerned with adjusting the settings of a number of lighting devices in real time in a working environment, subject to the requirements…”
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Parallel Extragradient-Proximal Methods for Split Equilibrium Problems Autor Hieua, Dang Van

“…In this paper, we introduce two parallel extragradient-proximal methods for solving split equilibrium problems. The algorithms combine the extragradient…”
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Parallel Optimization of Fiber Bundle Segmentation for Massive Tractography Datasets Autor Vazquez, Andrea, Lopez-Lopez, Narciso, Labra, Nicole, Figueroa, Miguel, Poupon, Cyril, Mangin, Jean-Francois, Hernandez, Cecilia, Guevara, Pamela

“… We implemented a parallel algorithm that improves upon its previous version in both execution time and memory usage…”
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A parallel multi-objective imperialist competitive algorithm to solve the load offloading problem in mobile cloud computing Autor Alipour, Sara, Saadatfar, Hamid, Poor, Mahdi Khazaie

“…Cloud computing is a modern architecture for performing complex and immense processes. It consists of configurable computational resource sets that communicate…”
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Approximation guarantees for parallelized maximization of monotone non-submodular function with a cardinality constraint Autor Cui, Min, Xu, Dachuan, Guo, Longkun, Wu, Dan

“…Emerging applications in machine learning have imposed the problem of monotone non-submodular maximization subject to a cardinality constraint…”
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Parallelization of Modified Merge Sort Algorithm Autor Marszałek, Zbigniew

“… The subject of this research is the claim that the parallelization of the sorting method is faster and beneficial…”
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Parallel MOEA Based on Consensus and Membrane Structure for Inferring Phylogenetic Reconstruction Autor Zhang, Qianqian, Zhang, Jun, Zhong, Yue, Ye, Congming, Min, Xiaoping

“…In recent years, inferring phylogenies has attracted lots of attention in both academic community and various application fields. Phylogenetic inference…”
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GreedyML: A Parallel Algorithm for Maximizing Submodular Functions Autor Shivaram Gopal, Ferdous, S M, Maji, Hemanta K, Pothen, Alex

“…We describe a parallel approximation algorithm for maximizing monotone submodular functions subject to hereditary constraints on distributed memory multiprocessors…”
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