Výsledky vyhledávání - scalable conjugate gradient algorithm

DEVELOPMENT OF AN ALGORITHM FOR OPTIMIZING NEURAL NETWORK TRAINING WHEN DETERMINING THE NUMBER OF NEURONS IN A HIDDEN LAYER IN ORDER TO INCREASE THE PROBABILITY OF RECOGNIZING IMAGES OF A GROUND TARGET Autor Godunov, A.I., Shishkov, S.V., Balanyan, S.T., Al' Saftli, F.Kh

“… Materials and methods. The existing algorithms for optimizing the training of the INS are considered when determining the number of neurons in the input, hidden and output layers of the INS in order to increase…”
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Phase retrieval using the transport of intensity equation solved by the FMG–CG method Autor Xue, Bindang, Zheng, Shiling

“…). The phase distribution can thus be uniquely determined by solving TIE. In this study, a full multigrid preconditioned conjugate gradient (FMG–CG…”
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A scalable parallel preconditioned conjugate gradient method for bundle adjustment Autor Peng, Jiaxin, Liu, Jie, Wei, Hua

“… For this purpose, it is common to apply the Levenberg-Marquardt algorithm, whose bottleneck lies in solving normal equations…”
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Fully scalable solver for frequency-domain visco-elastic wave equations in 3D heterogeneous media: A controllability approach Autor Tang, Jet Hoe, Brossier, Romain, Métivier, Ludovic

“… We detail the conjugate gradient implementation and show how an inner elliptic problem needs to be solved to compute the Riesz representative of the gradient at each iteration…”
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Hiding global synchronization latency in the preconditioned Conjugate Gradient algorithm Autor Ghysels, P., Vanroose, W.

“…•The manuscript presents a highly scalable preconditioned Conjugate Gradient method…”
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A unified dual-primal finite element tearing and interconnecting approach for incompressible Stokes equations Autor Tu, Xuemin, Li, Jing

“…‐DP methods only apply to discontinuous pressures. A preconditioned conjugate gradient method is used in the algorithm with either a lumped or a Dirichlet preconditioner, and scalable convergence rates are proved…”
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pGRASS-Solver: A Parallel Iterative Solver for Scalable Power Grid Analysis Based on Graph Spectral Sparsification Autor Liu, Zhiqiang, Yu, Wenjian

“… Existing graph sparsification algorithms are implemented under the assumption of serial computing, while factorization and backward/forward substitution of the spar-sifier's Laplacian matrix are also…”
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Accelerating Numerical Linear Algebra Kernels on a Scalable Run Time Reconfigurable Platform Autor Biswas, Prasenjit, Udupa, Pramod P, Mondal, Rajdeep, Varadarajan, Keshavan, Alle, Mythri, Nandy, S K, Narayan, Ranjani

“… (Conjugate Gradient algorithm) shows a 15-20% improvement. We further show that solution on REDEFINE is scalable over larger problem sizes without any notable degradation in performance…”
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Truncated Conjugate Gradient: An Optimal Strategy for the Analytical Evaluation of the Many-Body Polarization Energy and Forces in Molecular Simulations Autor Aviat, Félix, Levitt, Antoine, Stamm, Benjamin, Maday, Yvon, Ren, Pengyu, Ponder, Jay W, Lagardère, Louis, Piquemal, Jean-Philip

“…We introduce a new class of methods, denoted as Truncated Conjugate Gradient(TCG), to solve the many-body polarization energy and its associated forces in molecular simulations…”
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Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Autor Kemertas, Mete, Jepson, Allan D, Amir-massoud Farahmand

“…We design a novel algorithm for optimal transport by drawing from the entropic optimal transport, mirror descent and conjugate gradients literatures…”
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Numerically Stable Recurrence Relations for the Communication Hiding Pipelined Conjugate Gradient Method Autor Cools, Siegfried, Cornelis, Jeffrey, Vanroose, Wim

“…) have been proposed in the literature as a scalable alternative to classic Krylov subspace algorithms for iteratively computing the solution to a large linear system in parallel…”
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GPU-Based Fast Decoupled Power Flow With Preconditioned Iterative Solver and Inexact Newton Method Autor Li, Xue, Li, Fangxing, Yuan, Haoyu, Cui, Hantao, Hu, Qinran

“…)-based preconditioned conjugate gradient iterative solver. In addition, the Inexact Newton method is integrated to further improve the GPU-based parallel computing performance for solving FDPF…”
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Risk factor refinement and ensemble deep learning methods on prediction of heart failure using real healthcare records Autor Zhou, Chunjie, Hou, Aihua, Dai, Pengfei, Li, Ali, Zhang, Zhenxing, Mu, Yuejun, Liu, Li

“…The prediction of heart failure (HF) is crucial in preventing disease progression by implementing lifestyle changes and pharmacological interventions before…”
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A scalable iterative dense linear system solver for multiple right-hand sides in data analytics Autor Kalantzis, Vassilis, Malossi, A. Cristiano I., Bekas, Costas, Curioni, Alessandro, Gallopoulos, Efstratios, Saad, Yousef

“…•We conduct an extensive set of experiments, comparing the proposed scheme against the Conjugate Gradient, block Conjugate-Gradient…”
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Advances in Variational Inference Autor Zhang, Cheng, Butepage, Judith, Kjellstrom, Hedvig, Mandt, Stephan

“…: (a) scalable VI, which includes stochastic approximations, (b) generic VI, which extends the applicability of VI to a large class of otherwise intractable models, such as non-conjugate models…”
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Conjugate Gradients Autor Sadowská, Marie, Kozubek, Tomás, Dostál, Zdeněk, Vondrák, Vít

“…We begin our development of scalable algorithms for contact problems by the description of the conjugate gradient method for solving…”
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Accelerating full waveform inversion using HSS solver and limited memory conjugate gradient method Autor He, Qinglong, Han, Bo

“…, resulting in very slow convergence. In this paper, a limited memory version conjugate gradient method equipped with the scalable HSS-structured…”
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Phase Retrieval Algorithm via Nonconvex Minimization Using a Smoothing Function Autor Pinilla, Samuel, Bacca, Jorge, Arguello, Henry

“… Recently, gradient descent algorithms have been developed to solve this problem. However, their optimization cost functions are non-convex and non-smooth…”
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Scalable Resilience Against Node Failures for Communication-Hiding Preconditioned Conjugate Gradient and Conjugate Residual Methods Autor Levonyak, Markus, Pacher, Christina, Gansterer, Wilfried N

“… In particular, we focus on the pipelined preconditioned conjugate gradient (PPCG) method, which has been shown to successfully deal with the first of these challenges…”
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Scalable Non-blocking Preconditioned Conjugate Gradient Methods Autor Eller, Paul R., Gropp, William

“…The preconditioned conjugate gradient method (PCG) is a popular method for solving linear systems at scale…”
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