在大规模并行分布处理系统中，各节点间的负载平衡调度是最常见的关键性问题之一。
In the massive parallel distributed processing system, the load balancing strategies among its nods is one of the key problems.
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。
The field goes by many names, such as connectionism, parallel distributed processing, neuro-computing, natural intelligent systems, machine learning algorithms, and artificial neural networks.
本文第三部分讨论了神经网络分类器的设计鉴于汽车识别问题的特性，充分利用神经网络的并行分布处理的特点，将神经网络算法用于汽车识别。
The third part of paper discusses the design of neural network group classifier, in view of speciality of vehicle recognition, neural network algorithms are applied to resolve the problem.
在上例中，关键数据是用户配置文件，可以跨一组机器分布(分区)以进行并行处理。
In the initial example above, the key data was user profiles, which could be distributed (partitioned) across a set of machines for parallel processing.
并行计算要涉及到组合大量数据并将那些数据分布到每个计算结点，以进行更快的处理。
Parallel computing involves combining large amounts of data and spreading that data across each of the compute nodes for faster processing.
您可以将其视为分布式大规模集群计算和某种形式的网络分布式并行处理。
You can think of it as distributed and large-scale cluster computing and as a form of network-distributed parallel processing.
因为计算分布到不同的CPU，且每个CPU处理不同的数据集，所以这样的分布式处理意味着可以采用并行计算。
This distribution implies parallel computing since the same computations are performed on each CPU, but with a different dataset.
问题的答案是这样的，与出于商业目的而制造的计算机不同，大脑采用并行加工的方式处理信息，采用广泛分布的并行加工。
And the answer is, unlike many, unlike commercially generated computers, the brain works through parallel processing, massively parallel distributed processing.
作为分布式框架，Hadoop让许多应用程序能够受益于并行数据处理。
As a distributed framework, Hadoop enables many applications that benefit from parallelization of data processing.
其中两个核心组件是用于存储数据的HadoopDistributedFile System (Hadoop分布式文件系统)和用于写入并行处理任务的HadoopMapReduce。
The two core components are the Hadoop Distributed File System for storing data and Hadoop MapReduce for writing parallel-processing jobs.
它通常是谨慎的分布式并行处理和应采取的手，如果在这个问题的资源利用率是非常高的开销。
It is usually prudent that the overhead of distributed and parallel processing should be taken if the resource utilization of the problem at hand is very high.
从测试结果可以看出，并行与分布处理技术在液体火箭发动机复杂内流场的数值模拟方面能发挥重要作用。
The results show that parallel and distributed method can play an important role on the numerical simulation in liquid rocket engine.
数据分布是影响并行程序在分布主存多处理机上执行性能的重要因素。
Data distribution is one of the key factors that affect the performance of programs running on distributed memory multiprocessors.
在分布式处理中，实现并行操作是其核心问题之一。
The realization of concurrent operation is one of the kernel problem in distributed processing.
本文从并行处理的概念引出了分布式计算机系统，对它的定义和系统结构特点给以阐述。
The distributed computer system is derived from the concept of parallel processing in the paper and the definition and the features of the architecture are described.
新一代面向密集计算的高性能处理器普遍采用分布式寄存器文件来支撑ALU阵列，并通过VLIW开发指令级并行。
Newly-emerging high performance processors for intensive computing generally use distributed register files to support ALU array and to explore instruction level parallelism(ILP) by VLIW.
针对测井数据处理系统中交互数据检索速度慢等一系列问题，提出一个专用分布式并行模型。
In order to deal with the problems including slow interactive data retrieval and so on, a special distributed and parallel model was given for logging data processing systems.
因此，本文基于分布式网络并行环境研究了对XML文档的并行处理方法。
Based on the distributed parallel computation environment that based on network, this paper study the parallel processing of XML.
该算法通过间隔选取分析盒子和模式格点纬圈行，将数据分配给不同的处理机实现分布式并行。
We have achieved the parallelization by extracting the analysis boxes and model grid point latitude rows with leaped step and distributing data to different processors.
基于并行处理技术，提出分布式并行转发引擎结构，实现高速报文转发。
This paper proposes a distributed parallel forwarding engine to solve this problem based on parallel processing.
数据分布是数据库查询并行处理的基础，良好的数据分布方法对查询性能有着重要影响。
Data declustering is the foundation of the parallel processing of database query, which has significant effect on query performance.
大规模并行处理系统(MPP)和PC机群为并行求解矩阵广义特征值问题提供了分布式存储环境。
Massively parallel Processing system (MPP) and PC cluster provide distributed-memory environments for parallel solving the generalized eigenvalue problem.
该噪声消除器具有神经网络分布式并行信息处理能力、较好的容错性和鲁棒性以及除噪性能。
The new canceller has the advantages of neural networks, such as the ability of parallel distributed information processing, fault-tolerance and robustness, and is easy to use as a noise canceller.
有效，你和成千上万的其他电脑使用从事PC慈善成为一种分布式超级计算机的一部分做并行处理。
Effectively, you and thousands of other PC use engaged in PC philanthropy become part of a kind of distributed supercomputer that is doing parallel 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。
Work for the architect and parallel processing algorithms of the content infrastructure to support the vertical search engine and data processing.
网格计算可以认为是一种分布式的大规模机群计算、一种网络分布的并行处理。
Grid computing can be thought of as distributed and large-scale cluster computing and as a form of network-distributed parallel processing.
FPGA在分布式计算、并行处理、流水线结构上有独特的优势，自然成为设计软件无线电系统的首选技术之一。
FPGA has become the first choice for designing the software radio system because of its unique advantages in distributed computing, parallel processing and pipelining.
基于微机群集，构建了一个实际的分布式并行处理系统。
Based on microcomputer cluster, a realistic distributed parallel system is constructed.
DSP体积小、成本低、易于产品化、可靠性高、易扩展、能方便地实现多机分布式并行处理，所以在航空航天、工业控制、科学研究等方面获得了越来越多的应用。
There are some advantages about DSP, its bulk is small, cost is low, and it could be used in distributed parallel processing for more machines.
DSP体积小、成本低、易于产品化、可靠性高、易扩展、能方便地实现多机分布式并行处理，所以在航空航天、工业控制、科学研究等方面获得了越来越多的应用。
There are some advantages about DSP, its bulk is small, cost is low, and it could be used in distributed parallel processing for more machines.
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