The calculating result indicates that the network parallel algorithm can save the computing time of the TWT multi-signal nonlinear beam-wave interaction and improve working efficiency.
计算结果表明，该网络并行算法能够有效地减少行波管多信号非线性注波互作用的计算时间，提高工作效率。
Jobs Scheduling process of parallel computing involve in two ways of Scheduling system Scheduling Policy and Scheduling algorithm.
在并行计算的作业调度过程中，涉及到调度系统两个方面的内容：调度策略和调度算法。
The node-based local mesh generation(NLMG) is a key issue of the seamless finite element parallel computing, however, an inappropriate local mesh generation algorithm will produce inconsistent mesh.
局部网格生成是无缝有限元并行计算的关键问题，然而，不恰当的局部网格生成算法会产生不一致网格。
The computing efficiency and the performance of the algorithm are improved by a designed parallel algorithm, the crossover and the mutation operators.
通过设计粗粒度并行遗传算法和交叉、变异等算子，提高了算法的计算效率和性能。
An optimal design method for parallel computing is presented based on algorithm graph.
研究基于算法图的并行计算优化设计方法。
Because of the parallel computing, this algorithm can reduce the time of computing and satisfy the requirement of the real-time optimizing.
利用元胞自动机的计算并行性，使该算法大大减少了计算时间，提高了动态优化的实时性。
Several parallel algorithm sets and libraries are built to promote the solution to the problem of major difficulties and bottlenecks in current large-scale science and engineering computing.
形成若干并行核心算法集和程序库，推动当前大型科学工程计算中的重大难点和瓶颈问题的解决。
It is based on a new branch of evolution algorithm named differential evolution (DE) and parallel computing techniques implemented on a PC-cluster.
该方法基于新的差异进化(DE)算法和并行计算技术，在PC集群上实现优化。
Designed a hybrid parallel algorithm of Laplace's equation, and compared its performance with pure MPI algorithm on the HL-2A high performance computing system.
建立了对拉普拉斯偏微分方程求解的混合并行算法，并在HL - 2 A高性能计算系统上同纯mpi算法作了性能方面的比较。
It is friendly interface with the functions of editing, format transformation, data load, and so on. The software also supports parallel computing of BP algorithm in neural networks and FFT.
它不仅是一个友好的人机界面和具有编辑、格式转化、数据加载等多种功能，而且支持并行计算，如多层BP神经网络及FFT算法。
This paper focus on the research of load balancing algorithm and parallel execution time prediction for parallel computing systems.
本文主要研究并行计算系统中的负载平衡算法与并行执行时间预测问题。
When neural network with fast parallel computing and complex behavior of chaotic dynamics, it is one of the best choice for designing encryption algorithm.
人工神经网络具有实现快速并行运算又有混沌动力学复杂行为时，它将是用来设计一种加密算法的最佳选择。
Numerical results show that parallel UTD algorithm can drastically reduce the computing time.
数值结果表明，并行UTD算法可以大大节省计算时间。
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。
Finally, the proposed parallel computing based on fractal dimension algorithm improving the picture quality while also improving the coding rate.
最后，本文提出的基于并行计算分形维数的分形图像编码算法，在提高图像编码质量的同时，还提高了编码速率。
It testified that linear space algorithm based on parallel computing is superior to classical linear space algorithm in time complexity.
证明了基于并行计算的线性空间算法的在进行长序列比对时，时间复杂性优于经典的线性空间算法。
The compression ratio of algorithm is more than 1.9. The compression algorithm based on bit plane transform can be realized by parallel computing model.
压缩比达到了1.9以上，与其它超光谱图像压缩算法相当。位平面变换算法具有很好的并行性。
Based on Spark distributed graph computing model, a large scale and complex network community parallel discovery algorithm DBCS is proposed.
基于Spark分布式图计算模型，提出大规模复杂网络社区并行发现算法DBCS。
The experimental result of a classical engineering example demonstrates the validity of the new algorithm and good speedup and computing efficiency in the distributed parallel computing environment.
一个典型工程算例验证了新算法的有效性，并且在分布式并行环境下取得了较好的加速比和并行效率。
The algorithm fully takes advantage of mathematics foundation of Petri nets, is of parallel computing capability and simpler data structure. The method is much easier for implementation.
该算法充分利用了Petri网的数学理论基础和描述并发系统的能力，其数据结构简单，便于计算机编程处理。
The algorithm fully takes advantage of mathematics foundation of Petri nets, is of parallel computing capability and simpler data structure. The method is much easier for implementation.
该算法充分利用了Petri网的数学理论基础和描述并发系统的能力，其数据结构简单，便于计算机编程处理。
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