Výsledky vyhledávání - Shared-memory parallel computing

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  1. 1

    Computational performance of a smoothed particle hydrodynamics simulation for shared-memory parallel computing Autor Nishiura, Daisuke, Furuichi, Mikito, Sakaguchi, Hide

    ISSN: 0010-4655, 1879-2944
    Vydáno: Elsevier B.V 01.09.2015
    Vydáno v Computer physics communications (01.09.2015)
    “…The computational performance of a smoothed particle hydrodynamics (SPH) simulation is investigated for three types of current shared-memory parallel computer devices…”
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    Journal Article
  2. 2

    On Pervasive Shared Memory Parallel Computing Autor Rattan, Ishwar

    ISSN: 0026-2005, 2167-8634
    Vydáno: Alma Michigan Academy of Science, Arts & Letters 22.06.2021
    Vydáno v Michigan academician (22.06.2021)
    “…Nowadays one can find parallel computing (PC) capability in laptops, desktops, smart phones and embedded devices in, use today…”
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    Journal Article
  3. 3

    Adaptive parallel applications: from shared memory architectures to fog computing (2002–2022) Autor Galante, Guilherme, da Rosa Righi, Rodrigo

    ISSN: 1386-7857, 1573-7543
    Vydáno: New York Springer US 01.12.2022
    Vydáno v Cluster computing (01.12.2022)
    “…The evolution of parallel architectures points to dynamic environments where the number of available resources or configurations may vary during the execution of applications…”
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    Journal Article
  4. 4

    Max-PIM: Fast and Efficient Max/Min Searching in DRAM Autor Zhang, Fan, Angizi, Shaahin, Fan, Deliang

    Vydáno: IEEE 05.12.2021
    “…Recently, in-DRAM computing is becoming one promising technique to address the notorious 'memory-wall' issue for big data processing…”
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    Konferenční příspěvek
  5. 5

    Chasing Away RAts: Semantics and evaluation for relaxed atomics on heterogeneous systems Autor Sinclair, Matthew D., Alsop, Johnathan, Adve, Sarita V.

    Vydáno: ACM 01.06.2017
    “…An unambiguous and easy-to-understand memory consistency model is crucial for ensuring correct synchronization and guiding future design of heterogeneous…”
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  6. 6

    Reverse-Mode Automatic Differentiation and Optimization of GPU Kernels via Enzyme Autor Moses, William S., Churavy, Valentin, Paehler, Ludger, Huckelheim, Jan, Narayanan, Sri Hari Krishna, Schanen, Michel, Doerfert, Johannes

    ISSN: 2167-4337
    Vydáno: ACM 14.11.2021
    “…Computing derivatives is key to many algorithms in scientific computing and machine learning such as optimization, uncertainty quantification, and stability analysis…”
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  7. 7

    SLATE: Design of a Modern Distributed and Accelerated Linear Algebra Library Autor Gates, Mark, Kurzak, Jakub, Charara, Ali, YarKhan, Asim, Dongarra, Jack

    ISSN: 2167-4337
    Vydáno: ACM 17.11.2019
    “… SLATE will provide coverage of existing ScaLAPACK functionality, including the parallel BLAS…”
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    Konferenční příspěvek
  8. 8

    A Parallel Computing Method for the Computation of the Moore-Penrose Generalized Inverse for Shared-Memory Architectures Autor Gelvez-Almeida, Elkin, Barrientos, Ricardo J., Vilches-Ponce, Karina, Mora, Marco

    ISSN: 2169-3536, 2169-3536
    Vydáno: Piscataway IEEE 01.01.2023
    Vydáno v IEEE access (01.01.2023)
    “… In this paper, we propose a parallel computing method for the computation of the Moore-Penrose generalized inverse of large-size full-rank rectangular matrices…”
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    Journal Article
  9. 9

    Domain decomposition with discrete element simulations using shared-memory parallel computing for railways applications Autor Hoang, T.M.P., Saussine, G., Dureisseix, D., Alart, P.

    ISSN: 1779-7179, 1958-5829
    Vydáno: Routledge 01.01.2012
    “… To reduce computational costs, we study the use of two strategies: domain decomposition methods and shared-memory parallelisation with OpenMP…”
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    Journal Article
  10. 10

    DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication Autor Lu, Yuechen, Liu, Weifeng

    ISSN: 2167-4337
    Vydáno: ACM 11.11.2023
    “…Sparse matrix-vector multiplication (SpMV) plays a key role in computational science and engineering, graph processing, and machine learning applications. Much…”
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    Konferenční příspěvek
  11. 11

    Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs Autor Trotter, James D., Ekmekcibasi, Sinan, Langguth, Johannes, Torun, Tugba, Duzakin, Emre, Ilic, Aleksandar, Unat, Didem

    ISSN: 2167-4337
    Vydáno: ACM 11.11.2023
    “…Many real-world computations involve sparse data structures in the form of sparse matrices. A common strategy for optimizing sparse matrix operations is to…”
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  12. 12

    Understanding Priority-Based Scheduling of Graph Algorithms on a Shared-Memory Platform Autor Yesil, Serif, Heidarshenas, Azin, Morrison, Adam, Torrellas, Josep

    ISSN: 2167-4337
    Vydáno: ACM 17.11.2019
    “… It performs a detailed empirical performance analysis of several advanced CPS designs in a state-of-the-art graph analytics framework running on a large shared-memory server…”
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    Almost Deterministic Work Stealing Autor Shiina, Shumpei, Taura, Kenjiro

    ISSN: 2167-4337
    Vydáno: ACM 17.11.2019
    “…With task parallel models, programmers can easily parallelize divide-and-conquer algorithms by using nested fork-join structures…”
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  15. 15

    NestedMP: Enabling cache-aware thread mapping for nested parallel shared memory applications Autor He, Jiangzhou, Chen, Wenguang, Tang, Zhizhong

    ISSN: 0167-8191, 1872-7336
    Vydáno: Elsevier B.V 01.01.2016
    Vydáno v Parallel computing (01.01.2016)
    “…•Task-core mapping schemas for nested-parallel applications may affect performance…”
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    Journal Article
  16. 16

    Novel parallel method for association rule mining on multi-core shared memory systems Autor Vu, Lan, Alaghband, Gita

    ISSN: 0167-8191, 1872-7336
    Vydáno: Elsevier B.V 01.12.2014
    Vydáno v Parallel computing (01.12.2014)
    “…•ShaFEM: a novel association rule mining method for multi-core shared memory systems…”
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    Journal Article
  17. 17

    STM-Multifrontal QR: Streaming Task Mapping Multifrontal QR Factorization Empowered by GCN Autor Lin, Shengle, Yang, Wangdong, Wang, Haotian, Tsai, Qinyun, Li, Kenli

    ISSN: 2167-4337
    Vydáno: ACM 14.11.2021
    “…% higher than that of prior work. Moreover, for numerical factorization, an optimized tasks stream parallel processing strategy is proposed and a more efficient computing task mapping framework for NUMA architecture is adopted…”
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  18. 18

    Using OpenMP: Portable Shared Memory Parallel Programming Autor Chapman, Barbara, Jost, Gabriele, van der Pas, Ruud

    ISBN: 0262533022, 9780262533027
    Vydáno: Cambridge, Mass MIT Press 2007
    “…OpenMP, a portable programming interface for shared memory parallel computers, was adopted as an informal standard in 1997 by computer scientists who wanted a unified model on which to base programs…”
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    E-kniha Kniha
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    TSHMEM: Shared-Memory Parallel Computing on Tilera Many-Core Processors Autor Lam, Bryant C., George, Alan D., Lam, Herman

    Vydáno: IEEE 01.05.2013
    “… Fortunately, a partitioned global address space (PGAS) programming model has demonstrated realizable performance and productivity potential for large parallel computing systems with distributed-memory architectures…”
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  20. 20

    Implementation of QR and LQ decompositions on shared memory parallel computing systems Autor Egunov, V., Andreev, A.

    Vydáno: IEEE 2016
    “…The paper presents some results of research of applicability of various computing schemes of implementing QR and LQ matrix decompositions for shared memory parallel systems…”
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