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parallel algorithm中文是什么意思

  • 并联算法
  • 并行算法

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  • 例句与用法
  • 31 grama a y , gupta a , kumar v . isoefficiency : measuring the scalability of parallel algorithms and architectures
    并行算法的性能评测包括有关并行算法的加速比效率可扩放性等的评测方法。
  • The relevant data structure as well as a parallel algorithm is presented , and a qualitative analysis about the algorithm is also given
    给出相关的数据结构以及具有较好并行度的算法,并对算法作定性分析。
  • Some experiments of all these parallel algorithms are presented , the testing results indicate that the proposed algorithms are of high efficiency
    对以上算法分别进行测试,试验结果表明算法是高效可行的。
  • The key point of this research is to develop more efficient parallel algorithm of sequence processing with different computing environment
    针对不同计算环境,开发高效的序列处理并行算法是本课题的研究重点。
  • Part 2 covers parallel algorithms , how to write parallel programs , how to set up clusters , and cluster benchmarking
    第2部分将介绍并行算法的知识,并介绍如何编写并行程序、如何构建集群以及如何进行基准测试。
  • The optimized algorithm is suitable to be parallelized in cluster systems . the parallel algorithm uses query segmentation method
    从实验的方法出发,结合现代计算机系统的体系结构优化算法是另外一种可选的方法。
  • In this paper , we explore the effectiveness and extend one such formal methodology in the design of massively parallel algorithms
    本文将这样的方法进行推广,并探索这种方法在设计密码学大量并行算法中的有效性。
  • A small pc cluster is built to test the above parallel algorithm , the result achieves great vision effect and high speed up
    最后设计了smpcluster上的并行算法框架,并利用rationalrose2002设计了实现并行算法的主要类。
  • 6 chen g . design and analysis of parallel algorithms . 2nd edition , higher education press , 2002 . 7 chen g , an h et al
    并行算法部分主要介绍了并行算法的定义分类,并行计算模型,并行算法的设计和实现,并行算法的性能评测等。
  • We realize the parallel algorithm in c for the famc and amc methods . the results of the numerical experiments coincide with the theoretical results very well
    我们用c语言实现了并行计算程序,数值实验结果与理论结果吻合得很好。
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  • 百科解释
In computer science, a parallel algorithm or concurrent algorithm, as opposed to a traditional sequential (or serial) algorithm, is an algorithm which can be executed a piece at a time on many different processing devices, and then combined together again at the end to get the correct result.
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