Work for the architect and parallel processing algorithms of the content infrastructure to support the vertical search engine and data processing.
参与分布式架构和并行处理算法的设计以支撑搜索和数据处理的需求。
Instead, Hadoop can be viewed as a way to distribute both data and algorithms to hosts for faster parallel processing.
相反地，Hadoop可以被视为一种可以同时将数据和算法分配到主机以获得更快速的并行处理速度的方法。
This paper discusses the design of Scheduling Policy and the choice of Scheduling algorithms through a practical parallel processing system.
文章讨论了调度策略的设计和调度算法的选择，并通过一个实际的并行处理系统加以说明。
At the same time, integrating with computer parallel processing technology, the overall tracking algorithms are optimized by means of MMX and SSE instructions.
同时，结合计算机并行处理技术，利用MMX指令和SSE指令，对整个跟踪算法进行了并行性优化。
Aiming at the serial processing question existing in some typical search algorithms, this paper presents a fast motion estimation algorithm based on parallel processing principle.
该文针对传统搜索算法串行处理的缺点，提出了一种基于并行处理的快速运动估计算法。
Real time data processing is fulfilled as parallel computation and multithreading are adopted, and algorithms are optimized.
系统采用了并行计算机制和多线程机制，并对算法进行了优化，从而满足数据的实时处理要求。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
这个领域 有很多术语，例如连接机制、并行分布处理、神经计算、自然智能系统、机器学习算法和人工神经网络。
Parallel processing is one of the most challenging fields in computer science. Parallel computer interconnection networks and routing algorithms, however, are the basic techniques in this field.
并行处理是计算机科学中最富有挑战性的领域之一，而并行计算机互联网和寻径算法则是这个领域中研究力量很集中的基础技术。
Different from traditional parallel computations algorithms, Space-Time Adaptive Processing (STAP) algorithms are composed of several phases and each phase consists of many identical, separable tasks.
与传统并行计算研究对象不同的是，空时自适应处理(STAP)的各阶段是由多个相同的、可分离的任务组成。
The main difficulties of parallel processing are algorithms and software.
并行处理的主要困难在于算法和软件。
The parallel and fast algorithms about capturing and processing dynamic images of infield weed detection were studied under the lighting, indoor and dynamic conditions.
对运动图像的采集和处理算法进行了研究，分析了在人工照明、室内、动态情况下，适用于田间杂草识别的图像处理算法。
The parallel and fast algorithms about capturing and processing dynamic images of infield weed detection were studied under the lighting, indoor and dynamic conditions.
对运动图像的采集和处理算法进行了研究，分析了在人工照明、室内、动态情况下，适用于田间杂草识别的图像处理算法。
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