并行计算模型
- 网络parallel computational model;parallel computing model
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基于流水光总线的可重构线性阵列系统(LARPBS)是一种建立在光总线上的并行计算模型,许多研究工作者已经在该模型上设计出了一些高效的并行算法。
Linear array with reconfigurable pipelined bus system ( LARPBS ) is a parallel computational model based on optical bus . Many researchers have developed efficient parallel algorithm on this model .
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并行计算模型的发展引入越来越多的模型参数。
More and more parameters are introduced with the development of parallel computational model .
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一种面向移动Agent的多任务并行计算模型及算法
A Mobile Agent Oriented Multitask Parallel Computing Model and Algorithm
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从任务级的角度,在基于主/从模式的集群系统中引入了移动Agent技术,建立了基于移动Agent的并行计算模型。
The mobile agent technology is introduced into the cluster system . An agent-based parallel computer cluster system model based on master / slave pattern is established .
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基于C/S结构的AdaDBMS分布并行计算模型
A Distributed Parallel Computing Model of Ada_DBMS C / S Based
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动态环拓扑多机系统上DBP学习算法并行计算模型的构造与实现
Construction and implementation of the parallel computing model of DBP learning algorithm
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算法可运行于一种非常简单的并行计算模型上,它由k个同步运行的处理机构成,其中1≤k≤N,N为要处理的元素个数。
The algorithms are designed to be executed on a very simple model of parallel computation which consists of k processors , where 1 ≤ k ≤ N.
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基于PVM的启发式搜索的并行计算模型设计
Design of Heuristic Parallel Computation Model Based on PVM
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介绍了一种面向移动Agent的并行计算模型,给出了采用十标度策略解决任务排序,采用满射策略解决任务映射的算法。
A mobile agent oriented parallel computing model is introduced . In addition , an algorithm to sort tasks by 10-evenly divided scale strategy and to implement task mapping with surjection strategy is proposed .
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膜系统,也称P系统,是一类分布式并行计算模型。该类计算模型主要是受细胞、组织、器官或其它生物结构处理化学物质的方式启发而建立起来的。
Membrane systems , currently also called P systems , are a class of distributed parallel computing models , which are abstracted from the way living cells , tissue , organs , or other structures process chemical compounds .
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分布式并行计算模型(DPCM)的设计与实现
The Design and Implementation of Distributed and Parallel Computing Model
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最后,本文结合P2P网络的灵活性和两种并行计算模型的并行化处理,讨论了对等体的组织原理,实现了一组对等组的生成协议。
Lastly , two type of parallel computing model are researched for the principle of the peer group organization , and a set of peer group building protocol are implemented .
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SCCM并行计算模型及其上的优化算法设计
The SCCM parallel computation model and algorithm optimization in it
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由于现代GPU体系结构的复杂性,传统的并行计算模型无法用于评估GPGPU程序的性能。
Due to the complex architecture of GPUs , traditional parallel performance models are not applicable .
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研究了分子动力学数值模拟方法、BSP并行计算模型、循环映射法和递归对剖法静态负载均衡、动态负载平衡等关键技术。
Molecular dynamics simulation method , BSP parallel computing model , static load balance method , dynamics load balance method was studied .
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在分析各种空时自适应处理(STAP)算法特点的基础上,提出了一种用于STAP的并行计算模型。
The characteristic of space-time adaptive processing ( STAP ) algorithms is analyzed , and a parallel computation model for STAP is proposed .
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在并行计算模型中,BSP模型由于具有编程简单、独立于体系结构和执行性能可预测等特点而在总体上优于其它模型。
Of the parallel computation models , BSP model is superior to others for it ′ s simply program design , independence of architecture and predictable execution performance .
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首先提出了一个基于Shared-nothing结构的抽象并行计算模型APCM。
Firstly , a abstract parallel computing model APCM based on shared-nothing architecture is put forward .
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目的CDT(范畴数据类型)是以范畴理论为基础的并行计算模型,本文对存储器类型的CDT构造进行深入的探讨。
Aim CDT ( categorical data type ) is a parallel model basing on category theory , and this paper discusses the CDT construction of the memory type in details .
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DNA计算以及P系统的计算能力都被证明是与图灵机等价的,但是DNA计算与P系统采用的并行计算模型远远优于基于现代计算机的串行计算机制。
The computer power of DNA computation and P system has been proven to be equivalent with Turing machine . But the parallel computing mechanism which is adopted by DNA computing and P system is far superior to the serial computing system which is the basis of the traditional computer .
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本文结合多种代表性并行计算模型,给出异构环境中的HBSP模型和程序开销计算方法。
In combining with the several typical parallel computing model s , Heterogeneous Bulk Synchronous Parallel ( HBSP ) model is proposed .
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然后将LogP并行计算模型拓展到网格上,给出双层LogP模型和设计策略。
The paper extends the LogP parallel computing model to the grid and presents the double LogP model . And then it presents the strategy to design parallel algorithm on the grid .
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针对单处理器后序遍历二叉树的时间复杂度为O(n)问题,提出了在EREWPRAM并行计算模型下一种后序遍历二叉树的算法。
Aiming at the postorder-traversal of a binary tree 's time complexity in single process being O ( n ), an algorithm under EREW PRAM is presented . The algorithm makes the edge of the traversal into a singly linked list .
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本文基于SPMD并行计算模型,采用层次式结构模式将并行向量库划分为四个层次:应用组件层,抽象数据层,数据划分层和并行支撑层。
Using hierarchical framework , we divide the parallel vector library into four layers based on SPMD parallel computing model : Application Component Layer , Abstract Data Layer , Data Mapping Layer and Parallel Abstraction Layer .
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本文提出了网格环境下的并行计算模型G-PRAM,并在此基础上提出网格资源树遍历的一种并行实现算法,最后给出示例和说明。
A parallel computation model in Grid environment is proposed in this paper as G-PRAM . Based on G - PRAM , we implement a parallel algorithm for traversing a Grid resource tree . In the end , a case is given .
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一种面向网格的二级并行计算模型研究与实现
Research and Implementation of Bi - level Parallel Computation Model for Grid
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并行计算模型在集群环境下的适应性
Adapt ability of Parallel Computing Model in the NOWs Environment
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并行计算模型参数动态分析软件包设计
Design of Dynamic Analysis Toolkit for Parallel Computational Model Parameters
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逻辑程序设计语言的数据流并行计算模型研究
Research on Data-flow Parallel Computation Model for Logic Programming Language
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并行计算模型在异构计算环境中的研究
Study of parallel computing model in heterogeneous computing environment