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automatic parallelization中文是什么意思

  • 自动并行化

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  • 例句与用法
  • On task partitioning in automatic parallelization
    程序自动并行化过程中的任务划分
  • And we improved it effectively . npupar is a source-to-source automatic parallelization system, which can automatically parallelize sequential fortran77 program into parallel program based on pvm system
    npupar是一个源到源的并行化系统,它对fortran77编写的串行源程序进行自动并行化,生成基于pvm环境的并行源程序。
  • Several real problems are simulated, which proves the validity and feasibility of the proposed method . the method provides key technology support for the implimentation of automatic parallelization system in the next stage
    算例模拟结果验证了所提出方法的正确性和可行性,并为下一阶段自动并行系统的实现提供关键技术的支持。
  • To solve the problem, automatic parallelization of sequential programs has been studied since 1980s, which has been made great progress in these years . but application results are still disappointing . there is still no widely accepted and authorized automatic parallelizer
    为了解决这一困难,80年代以来,人们对串行程序的自动并行技术展开了研究,十多年来取得了长足的进步,但实际应用效果还不理想。
  • Cooperating with researchers in cfd, we present an automatic parallelization method based on application-understanding and extend the research from cfd to the field-dispersion computation problem . this method describes the essence of the field-dispersion computation from the point of application
    最后,与流体力学应用的专业人员合作,提出了一种基于应用理解的自动并行方法,并把研究对象从cfd问题扩展为场离散计算问题。
  • This paper first introduces aspm : an automatic parallelization model for simulation program of complicated continuous systems which we have constructed, then discusses an automatic parallelization system developed based on aspm, its characteristics and several advanced techniques in detail
    本文介绍了我们自行设计的面向复杂连续系统仿真程序的自动并行化模型aspm,并着重讨论了基于该模型的自动并行化系统、其特点及所解决的几项关键技术。
  • This paper first introduces aspm : an automatic parallelization model for simulation program of complicated continuous systems which we have constructed, then discusses an automatic parallelization system developed based on aspm, its characteristics and several advanced techniques in detail
    本文介绍了我们自行设计的面向复杂连续系统仿真程序的自动并行化模型aspm,并着重讨论了基于该模型的自动并行化系统、其特点及所解决的几项关键技术。
  • Because computational fluid dynamics ( cfd ) is widely used in the field of large scale science and engineering computation, and explicit difference computing method is widely used in cfd, we made deep research on the automatic parallelization of explicit difference programs for cfd
    我们针对计算流体力学cfd(computationalfluiddynamics)在大规模科学与工程计算中的广泛应用以及显式差分计算方法在cfd计算问题中的普遍使用的实际情况,对cfd显式差分计算程序的自动并行技术展开了深入的研究。
  • We analysed the traditional automatic parallelization technology, including dependency analysis theory, program transformation technology, parallel scheme and the optimization of related synchronization and communication etc, which are the theoretical basis of the whole article . cfd computing features, especially the features of explicit difference computing, have also been further ananlysed . we also summarized drawbacks of traditional automatic parallelization technology used in cfd : small parallel granularity, difficulty in attaining global identical data partition, and difficulty in attaining high parallel efficiency on distributed memory system
    本文讨论、分析、总结了通用的自动并行化技术:相关性分析理论、程序变换技术、并行模式以及同步通信与优化问题等等,它们是本文研究工作的理论基础;针对研究对象,深入分析了cfd计算的特点,特别是显式差分计算的特点;并归纳出传统的自动并行化技术在cfd应用中存在的问题:并行粒度小、难以获得全局统一的数据划分方式,对于分布存储结构的并行机难以获得高效率。
  • We analysed the traditional automatic parallelization technology, including dependency analysis theory, program transformation technology, parallel scheme and the optimization of related synchronization and communication etc, which are the theoretical basis of the whole article . cfd computing features, especially the features of explicit difference computing, have also been further ananlysed . we also summarized drawbacks of traditional automatic parallelization technology used in cfd : small parallel granularity, difficulty in attaining global identical data partition, and difficulty in attaining high parallel efficiency on distributed memory system
    本文讨论、分析、总结了通用的自动并行化技术:相关性分析理论、程序变换技术、并行模式以及同步通信与优化问题等等,它们是本文研究工作的理论基础;针对研究对象,深入分析了cfd计算的特点,特别是显式差分计算的特点;并归纳出传统的自动并行化技术在cfd应用中存在的问题:并行粒度小、难以获得全局统一的数据划分方式,对于分布存储结构的并行机难以获得高效率。
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Last modified time:Sun, 10 Aug 2025 00:29:56 GMT

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