Merge-sort is not an inherently parallel algorithm, as it can be done sequentially, and is popular when the data set is too large to fit in memory and must be sorted in pieces.
合并排序本身并非并行算法，因为它可以顺序执行。当数据集太大，内存无法容纳，必须分片保存的时候，经常使用合并排序。
Although the closed cube is a high-efficiency and important technology for data cube compression, there is no research on its parallel algorithm at present.
封闭立方体是一种非常有效而重要的数据立方体压缩技术，目前还缺乏对其并行算法的研究。
This algorithm can resolve the interference among attributes with different data types, and decrease the size of BP neural network, and realize the parallel computation of attributes matching.
该算法能有效地消除不一致信息的干扰，降低神经网络的规模，并且可以实现不同数据类型的属性集之间属性匹配过程的并行计算。
Considering the time saved by the parallel algorithm, it is possible to use the generalized phase screen method to process field data.
由于并行算法缩短了计算时间，使得该方法用于实际资料处理成为可能。
On the basis of the above, a data parallel algorithm of convolution calculation is proposed.
在此基础上给出了数据并行卷积计算算法；
Instead of parallel bucket sort recommended by some authors, a scheme using parallel regular sampling sort algorithm to construct the finest level data of the distributed tree is presented.
研究了最细层数据的建立方法，提出采用并行正则采样排序算法来代替众多文献所推荐的并行桶排序算法，以此来建立分布树的最细层数据。
Even if you know the best and fastest algorithm for solving a data parallel problem, it isn't always possible to translate that to an efficient program.
即使你知道最好最快的算法，解决了数据并行问题，但是它并不总是能够把这种以高效率的计划。
This paper discusses the data parallel algorithm and its implementation on region growing image segmentation, the correctness is proved, and the performance is also analyzed.
针对基于区域增长的图像分割方法，讨论和研究了其数据并行实现方法，证明了这种数据并行方法的正确性，并简要对算法性能进行了分析。
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 presents an optimized query algorithm, which adopts direct-join using data partition and parallel processing. It can reduce the response time of query process.
本文利用数据分片和并行处理策略，提出一种采用直接连接的查询优化算法，能有效地缩减查询处理的响应时间。
At the situation of high-data-rate, high-parallel, simple algorithm, less states, simple data flow and critical delay, the FPGA can offer a very good solution.
在数据吞吐量大，并行度高，算法比较简单，状态较少，流程比较简单和对时延要求较高的场合，应用FPGA非常适合。
A memory allocation algorithm was developed to maximize parallel data access and make full use of CPU processing ability to improve real-time performance of embedded multimedia applications.
为了提高嵌入式多媒体应用的实时性能，提出了一种最大化数据并行访问以便充分发挥CPU处理能力的片上存储器分配方法。
The traditional serial algorithm can't do work well for the data ocean quickly and correctly, it also important to research the parallel algorithm.
面对数据的海洋，传统的单机串行算法己经不能适应快速、实时的知识需求，研究面向多机、并行、分布式的数据挖掘模型越来越重要。
The data show that: restricted by the fact that the number of double operations is independent of the number of processors, the parallel algorithm is greatly affected by double algorithm.
分析结果表明：受数乘运算中倍点运算次数与处理器数目无关这一瓶颈的制约，并行算法的效率受倍点运算的效率影响很大。
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。
Examples based on synthetic data show that posteriori probability analysis for matched field inversion can be conducted effectively by the proposed parallel optimization algorithm.
匹配场反演仿真算例表明，该算法能有效对反演结果进行概率分析。
Thirdly, a GPU based massively data parallel C-SVM classification (GMP-CSVC) algorithm is presented to reduce the training time of SVM.
第三，针对支持向量机算法复杂度较高，难以应用于大样本分类的问题，提出了GMP-CSVC算法。
Thirdly, a GPU based massively data parallel C-SVM classification (GMP-CSVC) algorithm is presented to reduce the training time of SVM.
第三，针对支持向量机算法复杂度较高，难以应用于大样本分类的问题，提出了GMP-CSVC算法。
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