Výsledky vyhledávání - one-sided factorization algorithms

  1. 1

    One-sided Dense Matrix Factorizations on a Multicore with Multiple GPU Accelerators Autor Yamazaki, Ichitaro, Tomov, Stanimire, Dongarra, Jack

    ISSN: 1877-0509, 1877-0509
    Vydáno: Elsevier B.V 2012
    Vydáno v Procedia computer science (2012)
    “… In this paper, we propose two extensions of both right-looking (LU and QR) and left-looking (Cholesky) one-sided factorization algorithms to utilize the computing power of current heterogeneous architectures…”
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    Journal Article
  2. 2

    Adaptive block size for dense QR factorization in hybrid CPU–GPU systems via statistical modeling Autor Chen, Ray-Bing, Tsai, Yaohung M., Wang, Weichung

    ISSN: 0167-8191, 1872-7336
    Vydáno: Elsevier B.V 01.05.2014
    Vydáno v Parallel computing (01.05.2014)
    “…? We investigate this topic by proposing a dense QR factorization algorithm with adaptive block sizes on a hybrid system that contains a central processing unit (CPU…”
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  3. 3

    Hierarchical DAG Scheduling for Hybrid Distributed Systems Autor Wei Wu, Bouteiller, Aurelien, Bosilca, George, Faverge, Mathieu, Dongarra, Jack

    ISSN: 1530-2075
    Vydáno: IEEE 01.05.2015
    “… and the expression of algorithm parallelism, resulting in sub-optimal effective performance. Task-based programming paradigms have the capability to alleviate some of the programming challenges on distributed hybrid many-core architectures…”
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  4. 4

    Separation of the Factorization Norm and Randomized Communication Complexity Autor Cheung, Tsun-Ming, Hatami, Hamed, Hosseini, Kaave, Shirley, Morgan

    ISSN: 1016-3328, 1420-8954
    Vydáno: Cham Springer International Publishing 01.12.2025
    Vydáno v Computational complexity (01.12.2025)
    “…In an influential paper, Linial and Shraibman (STOC '07) introduced the factorization norm as a powerful tool for proving lower bounds against randomized and quantum communication complexities…”
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  5. 5

    Rounding error and perturbation bounds for the symplectic QR factorization Autor Singer, Sanja, Singer, Saša

    ISSN: 0024-3795, 1873-1856
    Vydáno: Elsevier Inc 2003
    “…To compute the eigenvalues of a skew-symmetric matrix A, we can use a one-sided Jacobi-like algorithm to enhance accuracy…”
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    Journal Article
  6. 6

    Comparative study of one-sided factorizations with multiple software packages on multi-core hardware Autor Agullo, Emmanuel, Hadri, Bilel, Ltaief, Hatem, Dongarrra, Jack

    ISBN: 1605587443, 9781605587448
    ISSN: 2167-4329
    Vydáno: New York, NY, USA ACM 14.11.2009
    “…), and against equivalent commercial software offerings (MKL, ESSL and PESSL). Our experiments were conducted on one-sided linear algebra factorizations (LU, QR and Cholesky…”
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  7. 7

    New Fast and Accurate Jacobi SVD Algorithm. II Autor DRMAC, Zlatko, VESELIC, Kresimir

    ISSN: 0895-4798, 1095-7162
    Vydáno: Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2008
    “…This paper presents a new one-sided Jacobi SVD algorithm for triangular matrices computed by revealing QR factorizations…”
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  9. 9

    Co-clustering over multiple dynamic data streams based on non-negative matrix factorization Autor Sang, Chun-Yan, Sun, Di-Hua

    ISSN: 0924-669X, 1573-7497
    Vydáno: Boston Springer US 01.09.2014
    “… Most of the early work in this area focused on one-sided clustering, i.e., clustering data streams based on feature correlation…”
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  10. 10

    Soft error resilient QR factorization for hybrid system with GPGPU Autor Du, Peng, Luszczek, Piotr, Tomov, Stan, Dongarra, Jack

    ISSN: 1877-7503, 1877-7511
    Vydáno: Elsevier B.V 01.11.2013
    Vydáno v Journal of computational science (01.11.2013)
    “… ► Performance impact to the baseline MAGMA QR implementation is low. ► Similar methods can be applied to other one-sided factorization like Cholesky and LU factorization…”
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  11. 11

    Two-dimensional data partitioning for non-negative matrix tri-factorization Autor Yan, Jiaxing, Liu, Hai, Lei, Zhiqi, Rao, Yanghui, Liu, Guan, Xie, Haoran, Tao, Xiaohui, Wang, Fu Lee

    ISSN: 2214-5796, 2214-580X
    Vydáno: Elsevier Inc 28.08.2024
    Vydáno v Big data research (28.08.2024)
    “… Unlike Non-negative Matrix Factorization (NMF) methods applicable to one-sided clustering only, NMTF introduces an additional factor matrix and uses the inherent duality of data to realize the mutual promotion of sample clustering and feature…”
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    Journal Article
  12. 12

    On efficient factorization of standard fuzzy concept lattices and attribute-oriented fuzzy concept lattices Autor Konecny, Jan

    ISSN: 0165-0114, 1872-6801
    Vydáno: Elsevier B.V 15.11.2018
    Vydáno v Fuzzy sets and systems (15.11.2018)
    “… Secondly, we scale the input data in such a way that the factor lattice can be computed as a one-sided fuzzy-crisp concept lattice…”
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  13. 13

    Multi-threading and one-sided communication in parallel LU factorization Autor Husbands, Parry, Yelick, Katherine

    ISBN: 1595937641, 9781595937643
    Vydáno: New York, NY, USA ACM 10.11.2007
    “…Dense LU factorization has a high ratio of computation to communication and, as evidenced by the High Performance Linpack (HPL…”
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  14. 14

    Accelerating the SVD bi-diagonalization of a batch of small matrices using GPUs Autor Dong, Tingxing, Haidar, Azzam, Tomov, Stanimire, Dongarra, Jack

    ISSN: 1877-7503, 1877-7511
    Vydáno: Netherlands Elsevier B.V 01.05.2018
    Vydáno v Journal of computational science (01.05.2018)
    “…•A batched BLAS design based on device function and big-tile setting was proposed on the GPU.•The batched BLAS approach is used to optimize solving the batched…”
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  15. 15

    Robust collaborative clustering approach with adaptive local structure learning Autor Tang, Jiayi, Feng, Hui

    ISSN: 0950-7051, 1872-7409
    Vydáno: Elsevier B.V 05.09.2022
    Vydáno v Knowledge-based systems (05.09.2022)
    “…Different from one-sided clustering technique based on sample similarity, collaborative clustering captures the sample clustering structure and feature clustering structure by mining the duality…”
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  16. 16

    Multi-view anchor graph regularization induced unbiased learning for positive and unlabeled problem Autor Zhao, Jie, Li, Xiao, Xu, Yitian, Yuan, Min

    ISSN: 1568-4946
    Vydáno: Elsevier B.V 01.08.2025
    Vydáno v Applied soft computing (01.08.2025)
    “…) problem, where negative label information is absent. Most semi-supervised algorithms struggle to effectively address PU problems, and a universal model for multi-view positive and unlabeled (PU…”
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  17. 17

    OvNMTF Algorithm: an Overlapping Non-Negative Matrix Tri-Factorization for Coclustering Autor de Freitas, Waldyr L., Peres, Sarajane M., Freire, Valdinei, Brunialti, Lucas Fernandes

    ISSN: 2161-4407
    Vydáno: IEEE 01.07.2020
    “…Coclustering algorithms are an alternative to classic one-sided clustering algorithms…”
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  18. 18

    One-sided Matrix Completion from Two Observations Per Row Autor Cao, Steven, Liang, Percy, Valiant, Gregory

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 06.06.2023
    Vydáno v arXiv.org (06.06.2023)
    “…? We study one such problem setting, that of "one-sided" matrix completion, where our goal is to recover the right singular vectors of \(X…”
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    Extremes of Markov-additive Processes with One-sided Jumps, with Queueing Applications Autor Dieker, A. B., Mandjes, M.

    ISSN: 1387-5841, 1573-7713
    Vydáno: Boston Springer US 01.06.2011
    “…Through Laplace transforms, we study the extremes of a continuous-time Markov-additive process with one-sided jumps and a finite-state background Markovian state-space, jointly with the epoch at which the extreme is ‘attained…”
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  20. 20

    W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs Autor Xiao, Junmin, Pang, Yunfei, Xue, Qing, Shui, Chaoyang, Meng, Ke, Ma, Hui, Li, Mingyi, Zhang, Xiaoyang, Tan, Guangming

    ISSN: 2167-4337
    Vydáno: IEEE 01.11.2022
    “… In real-world applications, the computational bottleneck of matrix factorization is on small matrices, and many GPU-accelerated batched SVD algorithms have been developed recently for higher performance…”
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