Search Results - Shared-memory parallel computing

Refine Results
  1. 1

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

    ISSN: 0010-4655, 1879-2944
    Published: Elsevier B.V 01.09.2015
    Published in 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…”
    Get full text
    Journal Article
  2. 2

    On Pervasive Shared Memory Parallel Computing by Rattan, Ishwar

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

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

    ISSN: 1386-7857, 1573-7543
    Published: New York Springer US 01.12.2022
    Published in 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…”
    Get full text
    Journal Article
  4. 4

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

    Published: IEEE 05.12.2021
    “…Recently, in-DRAM computing is becoming one promising technique to address the notorious 'memory-wall' issue for big data processing…”
    Get full text
    Conference Proceeding
  5. 5

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

    Published: 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…”
    Get full text
    Conference Proceeding
  6. 6

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

    ISSN: 2167-4337
    Published: 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…”
    Get full text
    Conference Proceeding
  7. 7

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

    ISSN: 2167-4337
    Published: ACM 17.11.2019
    “… SLATE will provide coverage of existing ScaLAPACK functionality, including the parallel BLAS…”
    Get full text
    Conference Proceeding
  8. 8

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

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2023
    Published in 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…”
    Get full text
    Journal Article
  9. 9

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

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

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

    ISSN: 2167-4337
    Published: 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…”
    Get full text
    Conference Proceeding
  11. 11

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

    ISSN: 2167-4337
    Published: 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…”
    Get full text
    Conference Proceeding
  12. 12

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

    ISSN: 2167-4337
    Published: 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…”
    Get full text
    Conference Proceeding
  13. 13

    Almost Deterministic Work Stealing by Shiina, Shumpei, Taura, Kenjiro

    ISSN: 2167-4337
    Published: ACM 17.11.2019
    “…With task parallel models, programmers can easily parallelize divide-and-conquer algorithms by using nested fork-join structures…”
    Get full text
    Conference Proceeding
  14. 14

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

    ISSN: 0167-8191, 1872-7336
    Published: Elsevier B.V 01.01.2016
    Published in Parallel computing (01.01.2016)
    “…•Task-core mapping schemas for nested-parallel applications may affect performance…”
    Get full text
    Journal Article
  15. 15

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

    ISSN: 0167-8191, 1872-7336
    Published: Elsevier B.V 01.12.2014
    Published in Parallel computing (01.12.2014)
    “…•ShaFEM: a novel association rule mining method for multi-core shared memory systems…”
    Get full text
    Journal Article
  16. 16

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

    ISSN: 2167-4337
    Published: 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…”
    Get full text
    Conference Proceeding
  17. 17
  18. 18

    TSHMEM: Shared-Memory Parallel Computing on Tilera Many-Core Processors by Lam, Bryant C., George, Alan D., Lam, Herman

    Published: 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…”
    Get full text
    Conference Proceeding
  19. 19

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

    Published: 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…”
    Get full text
    Conference Proceeding
  20. 20

    Concurrent computation of topological watershed on shared memory parallel machines by Mahmoudi, Ramzi, Akil, Mohamed, Bedoui, Mohamed Hédi

    ISSN: 0167-8191, 1872-7336
    Published: Elsevier B.V 01.11.2017
    Published in Parallel computing (01.11.2017)
    “…•We set up an adequate parallelization approach that guides a parallel watershed computing…”
    Get full text
    Journal Article