Linear array with reconfigurable pipelined bus system (LARPBS) is a parallel computational model based on the optical bus.
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。
This paper carries out researches on the framework of a Dynamic Execution and Machine Parameter Analysis Toolkit(DEMPAT) for parallel computational model parameters.
对并行计算模型参数动态采集分析软件包DEMPAT的整体框架进行研究，实现基于硬件性能计数器的存储层次参数采集模块。
Linear array with reconfigurable pipelined bus system (LARPBS) is a parallel computational model based on optical bus, on which many researchers have developed efficient parallel algorithm.
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.
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。
Matrices computation is the most important in numerical computations. Linear array with reconfigurable pipelined bus system (LARPBS) is a parallel efficient computational model based on optical bus.
矩阵运算是最重要的数值计算，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高效计算模型。
In the feature selection stage, the computing approximate gains in parallel is adopted in order to solve the computational expensiveness of the model and system spending.
在特征选择阶段，采用计算近似增益的平行算法，解决模型计算量过大和系统开销问题。
Based on MIMD parallel computer model, parallel implementation of explicit finite difference methods has been discussed for computational fluid dynamics (CFD) problems.
基于MIMD并行计算机模型，本文讨论了CFD问题应用显式有限差分方法的并行化问题。
Based on MIMD parallel computer model, parallel implementation of explicit finite difference methods has been discussed for computational fluid dynamics (CFD) problems.
基于MIMD并行计算机模型，本文讨论了CFD问题应用显式有限差分方法的并行化问题。
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