Showing 21 - 40 results of 62 for search '"parallel programming"', query time: 0.08s Refine Results
  1. 21
  2. 22

    Formal Verification of Programs in Functional Dataflow Parallel Language by M. S. Kropacheva, A. I. Legalov

    Published 2015-03-01
    Subjects: “…functional data-flow parallel programming…”
    Get full text
    Article
  3. 23
  4. 24
  5. 25
  6. 26
  7. 27

    Automation of Formal Verification of Programs in the Pifagor Language by M. S. Ushakova, A. I. Legalov

    Published 2015-08-01
    Subjects: “…functional data-flow parallel programming…”
    Get full text
    Article
  8. 28
  9. 29

    Verification of Programs with Mutual Recursion in the Pifagor Language by Mariya S. Ushakov, Alexander I. Legalov

    Published 2018-08-01
    Subjects: “…data driven functional parallel programming…”
    Get full text
    Article
  10. 30

    MULTI-CHANNEL CONTROL SYSTEM FOR IN-SITU LABORATORY LOADING DEVICES by Václav Rada, Tomáš Fíla, Petr Zlámal, Daniel Kytýř, Petr Koudelka

    Published 2018-10-01
    Subjects: “…CNC, controlling, LinuxCNC, Python Interface, Python, parallel programming, Qt, PyQt, Qwt, PythonQwt, LabJack…”
    Get full text
    Article
  11. 31

    Loop-invariant Optimization in the Pifagor Language by Vladimir S. Vasilev, Alexander I. Legalov

    Published 2018-08-01
    Subjects: “…data driven functional parallel programming…”
    Get full text
    Article
  12. 32
  13. 33

    Cloud Computing : Data-Intensive Computing and Scheduling / by Magoulès, F. (Frédéric)

    Published 2012
    Subjects:
    View in OPAC
    Book
  14. 34

    Accelerating Spark-Based Applications with MPI and OpenACC by Saeed Alshahrani, Waleed Al Shehri, Jameel Almalki, Ahmed M. Alghamdi, Abdullah M. Alammari

    Published 2021-01-01
    “…Moreover, big data is considered a barrier of parallel programming models or accelerators (e.g., CUDA and OpenCL). …”
    Get full text
    Article
  15. 35

    Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems by Sol Ji Kang, Sang Yeon Lee, Keon Myung Lee

    Published 2015-01-01
    “…This paper briefly reviews the parallel computing models and describes three widely recognized parallel programming frameworks: OpenMP, MPI, and MapReduce. …”
    Get full text
    Article
  16. 36

    The library for parallel execution of rpC-programs under Win32 by V. V. Vasilchikov, Shubin

    Published 2008-03-01
    “…This library is a significant part of the RpmShell software for developing recursive parallel programming style.…”
    Get full text
    Article
  17. 37

    Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows by Alexander I. Legalov, Ivan V. Matkovskii, Mariya S. Ushakova, Darya S. Romanova

    Published 2020-06-01
    “…We consider the features of the syntax and semantics of the statically typed data driven functional parallel programming language Smile that supports asynchronous sequential flows. …”
    Get full text
    Article
  18. 38

    Optimization and Security Analysis of Interconnected Security Control Based on Semantic of Process Communication by Bo LU, Yueming LU

    Published 2021-09-01
    “…Facing the demand of multi-domain security control in the integrated network of air and ground, to solve the problem that singleprocess regular matching restricts the performance of interconnected security gateway, the method of high-performance optimization of interconnected security control based on semantic security analysis of process communication was proposed.The interaction model of master-slave processes was described in a parallel programming language in the method.The state transition system semantics were given to accurately express the combined semantics of the master-slave processes.The security of master-slave processes in combinatorial semantics was analyzed, which ensured that the parallel running of processes had no deadlock and starvation, and was equivalent to the original regular matching.Experimental results showed that the proposed method could give full play to the advantages of multi-core hardware and reduced the context switching overhead of the scheduler.In the case of complex regular expressions, the method was an order of magnitude better than single-core running.…”
    Get full text
    Article
  19. 39

    Specx: a C++ task-based runtime system for heterogeneous distributed architectures by Paul Cardosi, Bérenger Bramas

    Published 2025-07-01
    “…Parallelization is needed everywhere, from laptops and mobile phones to supercomputers. Among parallel programming models, task-based programming has demonstrated a powerful potential and is widely used in high-performance scientific computing. …”
    Get full text
    Article
  20. 40

    Designing High-Performance Fuzzy Controllers Combining IP Cores and Soft Processors by Oscar Montiel-Ross, Jorge Quiñones, Roberto Sepúlveda

    Published 2012-01-01
    “…We used the ARM 32-bit soft processor, which allows sequential and parallel programming. The FLC coprocessor incorporates a tuning method that allows to manipulate the system response. …”
    Get full text
    Article