Besides , considering the high ratio between quality and price , high scalability , the convenience and flexibility in development and utilization , selecting workstations cluster as parallelization environment can reduce the development and application cost of image reconstruction and has great significance upon increasing the ratio between quality and price of high power x - ict 另外基于工作站机群的高性价比、高扩展性、开发和使用上的方便灵活性等种种优点,选择工作站机群作为并行实现环境,还能降低图像重建的开发和应用成本,对提高高能x射线工业ct机的性价比具有重要意义。
This algorithm can identify and choose in - core or out - of core algorithm based on different scale of computation and cluster during each computing phase . and parallelization during each phase is implemented . this algorithm can solve the residual equations parallelly and the current data distribution of residual equations does not change ( 4 )给出了一种可以在计算的每一个阶段根据不同的计算规模和机群规模,自动识别选用内存或外存算法的边界元子域并行算法;实现了各主要计算步骤的并行化;对于剩余方程组的并行求解,算法可以在不改变当前数据分布状态下,实行并行求解。
The idea of combining the practical technique with parallel technique is presented and the parallelization of practical gmres is implemented . the corresponding serial and parallel programs are developed and different numerical tests are carried out . ( 4 ) a be sub - region parallel algorithm is presented 分析了经典gmres算法的复杂度和并行性,提出了实用化技术和并行化技术结合使用的思想,通过对矩阵向量运算的分布并行处理实现了实用化gmres算法的并行计算;编制了相应的串并行程序,进行了数值试验验证。
We analysed the traditional automatic parallelization technology , including dependency analysis theory , program transformation technology , parallel scheme and the optimization of related synchronization and communication etc , which are the theoretical basis of the whole article . cfd computing features , especially the features of explicit difference computing , have also been further ananlysed . we also summarized drawbacks of traditional automatic parallelization technology used in cfd : small parallel granularity , difficulty in attaining global identical data partition , and difficulty in attaining high parallel efficiency on distributed memory system 本文讨论、分析、总结了通用的自动并行化技术:相关性分析理论、程序变换技术、并行模式以及同步通信与优化问题等等,它们是本文研究工作的理论基础;针对研究对象,深入分析了cfd计算的特点,特别是显式差分计算的特点;并归纳出传统的自动并行化技术在cfd应用中存在的问题:并行粒度小、难以获得全局统一的数据划分方式,对于分布存储结构的并行机难以获得高效率。
The optimization time and the optimization quality of evolutionary computation ca n ' t keep up with the actual demand . in order to solve the massive complicated optimization problems , the author analyzes the parallelization principle and the application environment of parallel evolutionary computation , and presents internet - based parallel evolutionary computation ( ipec ) 为解决大规模复杂优化问题,本文就并行进化计算的并行化原理和应用平台进行分析,提出了基于internet环境的并行进化计算( internet - basedparallelevolutionarycomputation ,简称ipec ) 。
Some crucial design principles , methods and techniques in petsc are highlighted . propose a general scheme for the parallelization of an unstructured mesh , including graph partitioning , data division and mesh managing , based on message passing programming style . propose a series of comprehensive considerations about how to achieve a well - designed , object - oriented and data - distributed parallel software ?从软件外在的功能组织、使用模式与内在的设计思想、实现技术及其因果关联性等多重角度出发,对petsc做了深入的分析探讨,尤其从源代码的层次,重点剖析了petsc的面向对象、中性数据结构、上下文环境、并行设计与通信等重要核心技术的实现方法及其对petsc使用模式和性能所产生的意义。
In order to solve the massive complicated optimization problems , the author analyzes the parallelization principle and the application environment of parallel genetic algorithm , and presents a kind of extended network - based distributed genetic algorithm ( endga ) which combines the respective ideal of sega and parallel genetic algorithm 为解决大规模复杂优化问题,本文就并行遗传算法的并行化原理和应用平台进行分析,并结合sega算法和分布式遗传算法两种思想提出了一种基于网络环境的分布式遗传算法( extendednetwork - baseddistributedgeneticalgorithm ,简称endga ) 。
The narrow fan - beams are reset into parallel beam then the image reconstruction is conducted by parallel beam " convolution back projection algorithm , which combines the high scan efficiency with the convenience of image reconstruction . this paper analyses the parallelism in narrow fan - beam " convolution back projection algorithm , divides the task of image reconstruction into several subtasks , and discusses the parallelization of narrow fan - beam " decomposition and reset , parallel beam " convolution back projection , and image accumulation 对于窄角扇束扫描方式,把窄角扇束重排成平行束,再由平行束卷积反投影重建算法来重建图像,是把扫描的高效率和重建方式的简便易行很好的结合起来。本论文对窄角扇束卷积反投影算法进行了并行性分析,指出把图像重建任务分解为多个子任务并行工作,并在工作站机群上讨论了窄角扇束的分解、重排、平行束卷积反投影图像重建、图像合成的并行实现。
Aiming at the implicit parallelism of ga and the characteristic of dps system , we study the parallelization of the former two algorithms . the basic idea is to put forward an agents - based model of parallel coalition formation algorithm on the basis of coarse - grained parallel genetic algorithm 由于遗传算法的隐并行性以及dps系统的特性,我们在文中对上述两种算法的并行化做了研究,基本的思想是在粗粒度并行遗传算法模型的基础上提出一种基于agents的并行联盟形成算法模型。
The difference between these two algorithms is that the former uses sub - domain as the basic unit of task to be allocated and the latter uses the node - super - row as the basic unit of task . ( 6 ) the original problem is transformed into transformed domain by using laplace transform method . by the parallelization of the bem in the transformed domain , the parallelization of the elasto - dynamic be analysis is implemented by introducing the time related fimdamental solution , the time dependency is released from the formation of time - domain be equations ( 6 )通过拉氏积分变换法将弹性动力问题转换至变换域,通过变换域上边界元的分布并行处理实现了弹性动力边界元分析的并行化;引入与时间有关的基本解,解除了时域边界元系统方程组形成阶段的时间顺序依赖性,通过矩阵向量运算的分布并行处理实现方程组时间步进求解方法的并行化,这种方法是一种部分时间并行算法。