Výsledky vyhledávání - "Iterative numerical algorithms"

BSF: A parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems Autor Sokolinsky, Leonid B.

“…This paper examines a novel parallel computation model called bulk synchronous farm (BSF) that focuses on estimating the scalability of compute-intensive…”
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Control-Theoretic Forward Error Analysis of Iterative Numerical Algorithms Autor Hasan, A., Kerrigan, Eric C., Constantinides, George A.

“…It has been known for at least five decades that control theory can be used to study iterative algorithms. However, little work can be found in the control…”
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BSF-skeleton: A template for parallelization of iterative numerical algorithms on cluster computing systems Autor Sokolinsky, Leonid B.

“… The scope of the BSF-skeleton is iterative numerical algorithms of high computational…”
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Analytical Estimation of the Scalability of Iterative Numerical Algorithms on Distributed Memory Multiprocessors Autor Sokolinsky, L. B.

“…This article presents a new high-level parallel computational model named BSF "— Bulk Synchronous Farm. The BSF model extends the BSP model to deal with the…”
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Inverse Problem Numerical Analysis of Forager Bee Losses in Spatial Environment without Contamination Autor Atanasov, Atanas Z., Koleva, Miglena N., Vulkov, Lubin G.

“…We consider an inverse problem of recovering the mortality rate in the honey bee difference equation model, that tracks a forage honeybee leaving and entering…”
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BSF-skeleton: A Template for Parallelization of Iterative Numerical Algorithms on Cluster Computing Systems Autor Sokolinsky, Leonid B

“… The scope of the BSF skeleton is iterative numerical algorithms of high computational…”
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BSF: a parallel computation model for scalability estimation of iterative numerical algorithms on cluster computing systems Autor Sokolinsky, Leonid B

“…This paper examines a new parallel computation model called bulk synchronous farm (BSF) that focuses on estimating the scalability of compute-intensive…”
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Communication optimization in iterative numerical algorithms: an algorithm-architecture interaction Autor Rafique, Abid

“…Trading communication with redundant computation can increase the silicon efficiency of common hardware accelerators like FPGA and GPU in accelerating sparse iterative numerical algorithms…”
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Analytical Estimation of the Scalability of Iterative Numerical Algorithms on Distributed Memory Multiprocessors Autor Sokolinsky, Leonid B

“…This article presents a new high-level parallel computational model named BSF - Bulk Synchronous Farm. The BSF model extends the BSP model to deal with the…”
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Efficiency Improvements of Iterative Numerical Algorithms on Modern Architectures Autor Treibig, Jan

“…For many numerical codes the transport of data from main memory to the registers is commonly considered to be the main limiting factor to achieve high…”
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An ISS and l-stability approach to forward error analysis of iterative numerical algorithms Autor Hasan, A, Kerrigan, E C, Constantinides, G A

“…In this paper we have used results from ISS and lοο stability theory to find a systematic way of finding bounds on the forward error and the maximum finite…”
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Quantization in Control Systems and Forward Error Analysis of Iterative Numerical Algorithms Autor Hasan, A, Kerrigan, E.C, Constantinides, G.A

“…The use of control theory to study iterative algorithms, which can be considered as dynamical systems, opens many opportunities to find new tools for analysis…”
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Convergence analysis of an iterative numerical algorithm for solving nonlinear stochastic Itô-Volterra integral equations with m-dimensional Brownian motion Autor Saffarzadeh, M., Heydari, M., Loghmani, G.B.

“…In this article, a numerical technique based on a combination of the Picard iteration method and hat basis functions to solve nonlinear stochastic Itô-Volterra…”
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An iterative numerical algorithm for modeling a class of Wiener nonlinear systems Autor Xiong, Weili, Ma, Junxia, Ding, Ruifeng

“… The proposed iterative numerical algorithm can estimate the parameters of a class of Wiener nonlinear systems from input…”
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A fast non-iterative numerical algorithm to predict unsteady partial cavitation on hydrofoils Autor Behbahani-Nejad, Morteza, Changizian, Maziar

“…A new algorithm to predict partial sheet cavity behavior on hydrofoils is proposed. The proposed algorithm models the unsteady partial cavitation using…”
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Deep fuzzy mapping nonparametric model for real-time demand estimation in water distribution systems: A new perspective Autor Zhang, Qingzhou, Yang, Jingzhi, Zhang, Weiping, Kumar, Mohit, Liu, Jun, Liu, Jingqing, Li, Xiujuan

“…•The deep fuzzy mapping model (DFM) is explored for real-time WDS modeling.•The flaw of machine learning-based methods is solved by the proposed DFM.•The…”
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Prognosis and persistence of smell and taste dysfunction in patients with covid-19: meta-analysis with parametric cure modelling of recovery curves Autor Tan, Benjamin Kye Jyn, Han, Ruobing, Zhao, Joseph J, Tan, Nicole Kye Wen, Quah, Emrick Sen Hui, Tan, Claire Jing-Wen, Chan, Yiong Huak, Teo, Neville Wei Yang, Charn, Tze Choong, See, Anna, Xu, Shuhui, Chapurin, Nikita, Chandra, Rakesh K, Chowdhury, Naweed, Butowt, Rafal, von Bartheld, Christopher S, Kumar, B Nirmal, Hopkins, Claire, Toh, Song Tar

“… Using iterative numerical algorithms, time-to-event…”
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Extended framework of Hamilton’s principle for continuum dynamics Autor Kim, Jinkyu, Dargush, Gary F., Ju, Young-Kyu

“…Hamilton’s principle is the variational principle for dynamical systems, and it has been widely used in mathematical physics and engineering. However, it has a…”
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An analytic approach for optimal coordination of overcurrent relays Autor Mahari, Arash, Seyedi, Heresh

“…This study presents a new analytic approach to optimal coordination of directional overcurrent relays. This approach is based on the selection of optimum…”
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A species richness estimator for sample‐based incidence data sampled without replacement Autor Chiu, Chun‐Huo

“…The accurate estimation of species richness in a target region is still a statistical challenge, especially in a highly heterogeneous community. Most richness…”
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