It was in such a course that I was introduced to parallel computation at a much finer level of granularity than the task or thread.
在这样的课程中，我在比任务或线程粒度更细的层次上了解了并行计算。
Then MapReduce shuffles the map output by key and does another parallel computation on the redistributed map output, writing the results to the file system in the Reduce phase of the computation.
然后MapReduce按照各个键改组映射输出，对重新分配的映射输出执行另一项并行计算，在计算的归纳阶段将结果写入到文件系统中。
Efficient collective communications algorithm plays a vital role in improving the performance of parallel computation.
研究高效的群集通信算法对并行计算效率的提升有着重要的作用。
It is necessary to implement by means of high performance distributed parallel computation because of the large amount of calculation.
数值天气预报的巨大计算量和实效性要求必须通过高性能分布式并行计算来实现。
Parallel Virtual Machine (PVM) is a kind of software system combining a group of loose connected computers into one to do parallel computation.
并行虚拟机，是能使一群松散连接的计算机用来作为一台并行计算资源的软件系统。
Parallel algorithm; parallel computation technology; parallel processing system.
并行算法；并行计算技术；并行处理系统。
The scalability studies are based on the studies of parallel computation models.
并行计算模型是研究并行计算可扩展性的基础。
The main objectives of computer networks are resource sharing, parallel computation and redundancy.
计算机网络的主要目的是资源共享、并行计算、冗余。
A homotopy continuation algorithm is proposed to deal with parallel computation for this eigenvalue problem.
首次将连续同伦算法应用于非对称广义特征值问题的并行求解，提出并行连续同伦算法。
ACO adopts parallel computation mechanism, has strong robustness and is easy to combine with other methods in optimization.
蚁群算法采用分布式并行计算机制，易与其他方法结合，具有较强的鲁棒性等特点。
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。
Because of its highly parallel computation, the investigators use DNA molecular automaton to simulate the electronic computer.
由于DNA计算具有高度的并行性，因此，研究者也把目光投向了用DNA分子自动机来模拟电子计算机。
The parallel computation can greatly accelerate computation speed, decrease computation time and improve computation efficiency.
并行计算可以提高计算速度，缩短计算时间，提高计算效率。
Type of parallel computation in which computing elements are modeled on the network of neurons that constitute animal nervous systems.
一种并行计算，将计算的元素模仿构成动物神经系统的神经元网络。
With the effective parallel computation algorithm, the simulation of complex inviscid flow is finally achieved more efficiently and quickly.
进一步配合流场有效的并行计算算法，最终可实现高效、快捷地模拟复杂流场。
High performance parallel computation based on computer cluster has become an efficient method for most engineering and scientific computation.
基于计算机集群的高性能并行计算，已成为广大工程与科学计算的有效手段。
Numerical results show the correction of calculation and effectiveness of parallel computation. Some parameters influencing speed up and efficiency are discussed.
数值算例表明流场计算的正确性和并行计算的有效性，并讨论了影响加速比和并行效率的各种因素。
MPI is the most important tool of parallel computation and MPI-based parallel computation is a hotspot that is paid a large amount of attention by a lot of people.
而MPI是现在最流行的并行编程的工具，基于MPI的并行计算是现在被关注的热点。
The parallel computation method was used for numerical simulation of flow field with moving boundary, and unstructured moving grids were generated by spring analogy method.
将并行计算方法应用于含运动边界流场的数值模拟，采用弹簧方法生成非结构运动网格。
A new alternate iteration method based on block bordered diagonal model for parallel computation in simulation of electric power system dynamics is presented in this paper.
针对电力系统并行仿真算法中的分块对角加边模型提出了一种新的交替迭代解法。
They have been intensively used in real application, such as parallel computation, signal processing, associative memory, and so on, which has become an attracting and focused topic.
它们被广泛用于平行计算、信号处理、联想记忆等领域，成为实际应用中的热门课题和很多理论研究者关注的焦点。
This paper studies on a typical parallel computation and communication pattern, known as task queue pattern, and implements the pattern in a pattern-based parallel programming environment.
本文在基于模式的并行编程方法的基础上，对一种典型的并行计算与通信模式-任务队列模式进行了深入的研究，并在基于模式的并行编程环境中对该模式进行了实现。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
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。
Because the cellular neural networks are uniquely suitable for the high-speed parallel computation and easy to implement in hardware, this model has more potential in real-time image processing.
由于细胞神经网络具有高速并行运算、便于硬件实现等特点，因此这种方法在图像实时处理中也具有很大的潜力和应用前景。
Neural networks can implement fast parallel computation; meanwhile it has the characteristic of complex chaotic dynamical process, so it is one of the best choices to assist security chip design.
神经网络具备既能实现快速并行运算又有混沌动力学复杂行为的特征，是设计实现适用于实时安全通信应用的安全芯片最佳选择之一。
This Paper describes some problems, which are very important for parallel computation, on storage allocation for pipeline processors, parallel processors, multiprocessors and VLSI Compuer systems.
本文描述了流水线处理机、并行处理机、多处理机以及VLSI计算机系统中存贮分配的一些问题，它们对并行计算是很重要的。
This Paper describes some problems, which are very important for parallel computation, on storage allocation for pipeline processors, parallel processors, multiprocessors and VLSI Computer systems.
本文描述了流水线处理机、并行处理机、多处理机以及VLSI计算机系统中存贮分配的一些问题，它们对并行计算是很重要的。
The results of numerical experiments, the statistics of speedup ratio and parallel efficiency all show the success of parallel unstructured grid generation method and parallel computation algorithm.
数值试验的结果以及并行计算的加速比、效率的统计，进一步验证了网格并行生成方法以及并行计算算法的有效性。
The results of numerical experiments, the statistics of speedup ratio and parallel efficiency all show the success of parallel unstructured grid generation method and parallel computation algorithm.
数值试验的结果以及并行计算的加速比、效率的统计，进一步验证了网格并行生成方法以及并行计算算法的有效性。
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