Výsledky vyhľadávania - parallel sparse matrix algorithms

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  1. 1

    Semiempirical Molecular Dynamics (SEMD) I: Midpoint-Based Parallel Sparse Matrix-Matrix Multiplication Algorithm for Matrices with Decay Autor Weber, Valéry, Laino, Teodoro, Pozdneev, Alexander, Fedulova, Irina, Curioni, Alessandro

    ISSN: 1549-9626, 1549-9626
    Vydavateľské údaje: United States 14.07.2015
    “…In this paper, we present a novel, highly efficient, and massively parallel implementation of the sparse matrix-matrix multiplication algorithm inspired by the midpoint method that is suitable for matrices with decay…”
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    Accelerating domain propagation: An efficient GPU-parallel algorithm over sparse matrices Autor Sofranac, Boro, Gleixner, Ambros, Pokutta, Sebastian

    ISSN: 0167-8191, 1872-7336
    Vydavateľské údaje: Elsevier B.V 01.03.2022
    Vydané v Parallel computing (01.03.2022)
    “…•Currently, domain propagation in state-of-the-art MIP solvers is single thread only.•The paper presents a novel, efficient GPU algorithm to perform domain propagation…”
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    A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-acceleration Autor Wang, Haotian, Yang, Wangdong, Hu, Rong, Ouyang, Renqiu, Li, Kenli, Li, Keqin

    ISSN: 1045-9219, 1558-2183
    Vydavateľské údaje: New York IEEE 01.08.2023
    “… Although multi-dimensional sparse data is typically processed on multi-core processors, developing highly optimized GPU-based Sp arse T ensor M atrix C hain M ultiplication (SpTMCM) is challenging…”
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    Multilevelk-way Partitioning Scheme for Irregular Graphs Autor Karypis, George, Kumar, Vipin

    ISSN: 0743-7315, 1096-0848
    Vydavateľské údaje: Elsevier Inc 10.01.1998
    “…In this paper, we present and study a class of graph partitioning algorithms that reduces the size of the graph by collapsing vertices and edges, we find ak-way partitioning of the smaller graph…”
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    GPU-accelerated sparse matrices parallel inversion algorithm for large-scale power systems Autor Zhou, Gan, Feng, Yanjun, Bo, Rui, Zhang, Tao

    ISSN: 0142-0615, 1879-3517
    Vydavateľské údaje: Elsevier Ltd 01.10.2019
    “…•A novel GPU-accelerated parallel inversion algorithm for large-scale sparse matrices…”
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    Highly scalable parallel algorithms for sparse matrix factorization Autor Gupta, A., Karypis, G., Kumar, V.

    ISSN: 1045-9219
    Vydavateľské údaje: IEEE 01.05.1997
    “…In this paper, we describe scalable parallel algorithms for symmetric sparse matrix factorization, analyze their performance and scalability, and present experimental results for up to…”
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    Parallel Sparse Matrix Algorithms in OCaml v5: Implementation, Performance, and Case Studies Autor Recharla, Rakesh

    Vydavateľské údaje: IEEE 20.03.2025
    “…This section presents the findings from experiments assessing the effectiveness of the GALE algorithm in managing cognitive workload (HTM…”
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    Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication Autor Ranawaka, Isuru, Hussain, Md Taufique, Block, Charles, Gerogiannis, Gerasimos, Torrellas, Josep, Azad, Ariful

    Vydavateľské údaje: IEEE 17.11.2024
    “…We consider a sparse matrix-matrix multiplication (SpGEMM) setting where one matrix is square and the other is tall and skinny…”
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    An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled lasso Autor Lee, Seunghwan, Kim, Sang Cheol, Yu, Donghyeon

    ISSN: 0943-4062, 1613-9658
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2023
    Vydané v Computational statistics (01.03.2023)
    “…The sparse precision matrix plays an essential role in the Gaussian graphical model since a zero off-diagonal element indicates conditional independence of the corresponding two variables given others…”
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    A flexible sparse matrix data format and parallel algorithms for the assembly of sparse matrices in general finite element applications using atomic synchronisation primitives Autor Sky, Adam, Polindara, César, Muench, Ingo, Birk, Carolin

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 15.07.2021
    Vydané v arXiv.org (15.07.2021)
    “… The composition process combines the computation of element stiffness matrices and their assembly into the global stiffness matrix, which is commonly sparse…”
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    MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration Autor Shan, Mohsin, Gurevin, Deniz, Nye, Jared, Ding, Caiwen, Khan, Omer

    Vydavateľské údaje: IEEE 01.04.2023
    “… The trend in hardware accelerator designs has identified significant challenges with harnessing graph locality and workload imbalance due to ultra-sparse and irregular matrix computations at a massively parallel scale…”
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    Increasing the Efficiency of Massively Parallel Sparse Matrix-Matrix Multiplication in First-Principles Calculation on the New-Generation Sunway Supercomputer Autor Chen, Xin, Gao, Yingxiang, Shang, Honghui, Li, Fang, Xu, Zhiqian, Liu, Xin, Chen, Dexun

    ISSN: 1045-9219, 1558-2183
    Vydavateľské údaje: New York IEEE 01.12.2022
    “… Here a massively parallel medium sparse matrix-matrix multiplication algorithm is designed for first-principle calculations and implemented on the new-generation Sunway supercomputer…”
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    A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering Autor Karypis, George, Kumar, Vipin

    ISSN: 0743-7315, 1096-0848
    Vydavateľské údaje: San Diego, CA Elsevier Inc 10.01.1998
    “…In this paper we present a parallel formulation of the multilevel graph partitioning and sparse matrix ordering algorithm…”
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    Joint direct and transposed sparse matrix‐vector multiplication for multithreaded CPUs Autor Kozický, Claudio, Šimeček, Ivan

    ISSN: 1532-0626, 1532-0634
    Vydavateľské údaje: Hoboken Wiley Subscription Services, Inc 10.07.2021
    Vydané v Concurrency and computation (10.07.2021)
    “… Such algorithms can benefit from combining parallel SpMV and SpMTV into a single operation we call joint direct and transposed sparse matrix…”
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    A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm Autor Azad, Ariful, Buluc, Aydin

    ISSN: 1530-2075, 1530-2075
    Vydavateľské údaje: United States IEEE 01.05.2017
    “…We design and develop a work-efficient multithreaded algorithm for sparse matrix-sparse vector multiplication (SpMSpV…”
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    Distributed-Memory Parallel Algorithms for Sparse Matrix and Sparse Tall-and-Skinny Matrix Multiplication Autor Ranawaka, Isuru, Hussain, Md Taufique, Block, Charles, Gerogiannis, Gerasimos, Torrellas, Josep, Azad, Ariful

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 21.08.2024
    Vydané v arXiv.org (21.08.2024)
    “…We consider a sparse matrix-matrix multiplication (SpGEMM) setting where one matrix is square and the other is tall and skinny…”
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    Study of Execution Efficiency of Implementation Versions of Sparse Matrices Multiplication Algorithm on Parallel Dataflow Computing System "Buran" Autor Levchenko, N.N., Okunev, A.S., Zmejev, D.N.

    ISSN: 2472-761X
    Vydavateľské údaje: IEEE 01.09.2018
    Vydané v East-West Design and Test Symposium (01.09.2018)
    “…The article proposes to solve problems related to the parallel implementation of the sparse matrices multiplication task, using the architecture of the parallel dataflow computing system "Buran…”
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    Hybrid parallel algorithm of general sparse matrix multiplication Autor Luo, Haibiao, Wang, Ting, Zhang, Yunquan

    ISSN: 1673-9418
    Vydavateľské údaje: 01.08.2013
    “…Sparse matrix multiplication is widely used in scientific and engineering computations…”
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    A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calculations Autor Lin, Lin, Yang, Chao, Lu, Jianfeng, Ying, Lexing, E, Weinan

    ISSN: 1064-8275, 1095-7197
    Vydavateľské údaje: Philadelphia, PA Society for Industrial and Applied Mathematics 01.01.2011
    Vydané v SIAM journal on scientific computing (01.01.2011)
    “…An efficient parallel algorithm is presented for computing selected components of A^sup -1^ where A is a structured symmetric sparse matrix…”
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