The concept of parallel-computing based MPI and the implementation of parallel-computing cluster are introduced. The parallel way of image processing arithmetic is presented.
介绍了MPI并行计算的基本概念和并行计算集群的实现,着重论述了图像处理算法的并行实现方法。
参考来源 - MPI并行计算在图像处理方面的应用This thesis employs the parallel-computing algorithm based on PC clusters and message function mechanism, which successfully accelerated the calculation of power systems risk assessment, reduced the equipment investment and improved the maintenance efficiency.
本文采用基于PC集群和消息函数机制的并行算法,提高了电力系统风险评估的计算速度,降低了设备投资,提高了维护效率。
参考来源 - 电力系统电压安全研究·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Parallel computing involves combining large amounts of data and spreading that data across each of the compute nodes for faster 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。
Many problems that require true parallel computing are solved via scientific calculations that perform operations on vectors and matrices.
许多需要真正的并行计算的问题都通过在向量和矩阵上执行操作的科学计算解决了。
This type of parallel computing (in a sense) can have some serious application in the creation and use of biochemical computing devices.
这种类型的平行计算(在某种意义上)可以在生物化学计算设备的设计和应用产生一些重要的应用。
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