Suchergebnisse - "Parallel algorithms"

Engineering Parallel Algorithms for Community Detection in Massive Networks von Staudt, Christian L., Meyerhenke, Henning

“… The amount of graph-structured data has recently experienced an enormous growth in many applications. To transform such data into useful information, fast …”
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Asynchronous parallel algorithms for nonconvex optimization von Cannelli, Loris, Facchinei, Francisco, Kungurtsev, Vyacheslav, Scutari, Gesualdo

“… We propose a new asynchronous parallel block-descent algorithmic framework for the minimization of the sum of a smooth nonconvex function and a nonsmooth …”
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Parallel algorithms for hyperdynamics and local hyperdynamics von Plimpton, Steven J, Perez, Danny, Voter, Arthur F

“… Hyperdynamics (HD) is a method for accelerating the timescale of standard molecular dynamics (MD). It can be used for simulations of systems with an energy …”
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Efficient parallel algorithms for dynamic closeness‐ and betweenness centrality von Regunta, Sai Charan, Tondomker, Sai Harsh, Shukla, Kshitij, Kothapalli, Kishore

“… In this article, we show novel parallel algorithms for updating the betweenness‐ and closeness‐centrality values of nodes in a dynamic …”
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Parallel algorithms for nonlinear time–space fractional parabolic PDEs von Biala, T.A., Khaliq, A.Q.M.

“… In this paper, we develop a time stepping scheme for solving nonlinear time–space fractional partial differential equations (PDEs). In space, we use the matrix …”
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Parallel Algorithms for Successive Convolution von Christlieb, Andrew J., Guthrey, Pierson T., Sands, William A., Thavappiragasm, Mathialakan

“… The development of modern computing architectures with ever-increasing amounts of parallelism has allowed for the solution of previously intractable problems …”
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Massively parallel algorithms for approximate shortest paths von Dory, Michal, Matar, Shaked

“… We present fast algorithms for approximate shortest paths in the massively parallel computation (MPC) model. We provide randomized algorithms that take poly ( …”
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Parallel algorithms for CFD–DEM modeling of dense particulate flows von Wu, C.L., Ayeni, Oladapo, Berrouk, A.S., Nandakumar, K.

“… Most of the CFD codes are parallelized under distributed-memory parallel computing environments. For this reason, many attempts have been made to develop …”
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Parallel algorithms for finding common solutions to split convex feasibility and quasiconvex minimization problems: Parallel algorithms for finding common solutions von Van Thang, Tran, Muu, Le Dung, Van Hong, Nguyen

“… We propose convergent algorithms based upon the hybrid idea for finding a minimizer of a quasiconvex function, which is also a solution of an implicit split …”
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Practical Parallel Algorithms for Non-Monotone Submodular Maximization von Cui, Shuang, Han, Kai, Tang, Jing, Li, Xueying, Zhiyuli, Aakas, Li, Hanxiao

“… Submodular maximization has found extensive applications in various domains within the field of artificial intelligence, including but not limited to machine …”
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Parallel Algorithms for Constrained Tensor Factorization via Alternating Direction Method of Multipliers von Liavas, Athanasios P., Sidiropoulos, Nicholas D.

“… Tensor factorization has proven useful in a wide range of applications, from sensor array processing to communications, speech and audio signal processing, and …”
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Parallel algorithms for the automated discovery of declarative process models von Maggi, Fabrizio Maria, Di Ciccio, Claudio, Di Francescomarino, Chiara, Kala, Taavi

“… •Variants of an approach for discovering declarative process models are presented.•The variants are based on the Apriori and the sequence analysis algorithm.•A …”
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Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University von Zhang, Chen, Zhao, Chenggang, He, Jiaao, Chen, Shengqi, Zheng, Liyan, Huang, Kezhao, Han, Wentao, Zhai, Jidong

“… In this article we present our results from the SC19 Student Cluster Competition Reproducibility Challenge. The challenge entails reproducing the article …”
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Fast parallel algorithms for the x-ray transform and its adjoint von Gao, Hao

“… Purpose: Iterative reconstruction methods often offer better imaging quality and allow for reconstructions with lower imaging dose than classical methods in …”
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Parallel algorithms for tensor completion in the CP format von Karlsson, Lars, Kressner, Daniel, Uschmajew, André

“… •Novel parallel algorithms for tensor completion problems, with applications to recommender systems and function learning …”
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Parallel Algorithms for Unsupervised Tagging von Ravi, Sujith, Vassilivitskii, Sergei, Rastogi, Vibhor

“… We propose a new method for unsupervised tagging that finds minimal models which are then further improved by Expectation Maximization training. In contrast to …”
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Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Peking University von Cheng, Yihua, Fan, Zejia, Mai, Jing, Wu, Yifan, Xu, Pengcheng, Yan, Yuxuan, Fu, Zhenxin, Liang, Yun

“… Shi et al. (2018) proposed a highly parallel polynomial filtering eigensolver for the computation of planetary normal modes. As a challenge at the Student …”
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Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From ETH Zurich von Burger, Manuel, Kleine, Jan

“… This report analyzes the reproducibility of the article "Computing Planetary Interior Normal Modes with A Highly Parallel Polynomial Filtering Eigensolver" by …”
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Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From National Tsing Hua University von Sun, Wei-Fang, Chen, Hung-Hsin, Lin, Shao-Fu, Lin, Yuan-Ching, Wu, Jing-Wei, Lin, En-Te, Chou, Jerry

“… As a special activity of the Student Cluster Competition at SC19 conference, we made an attempt to reproduce the scalability evaluations of a highly paralleled …”
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Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From University of Washington von Liu, David, Cinnamon, Matthew, Garvin, Thorne, Karavanov, Andrei, Park, Sungchan, Strobeck, Darius, Lumsdaine, Andrew

“… Polynomial Filtering Eigensolver", by J. Shi et al. , which describes a highly parallel algorithm for computing planetary normal modes …”
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