Presented a parallel Apriori algorithm that uses Parallel Virtual Machine(PVM) ( PVM ) to discovery rules in database. 提出了一种在数据库中发现关联规则的并行Apriori算法,并在并行虚拟机(PVM)(PVM)环境下实现了该算法。
A c program based on this algorithm in Parallel Virtual Machine(PVM) ( PVM ) environment is developed. 程序由C编制,运行环境是并行虚拟机(PVM)(PVM)。
In this paper we introduces how to use Linux and PVM ( parallel virtual machine ) to build parallel computing system based on PC network. 本文介绍了利用Linux操作系统和并行虚拟机(PVM)PVM在微计算机网络上构建网络并行计算环境。
Taking messy gate model as an example, the application of improving computing speed in EHW problem using PVM ( parallel virtual machine ) is addressed. And the conclusion of parallel method's advantage in EHW research is arrived at by comparing with serial algorithm. 以Messy门模型为例,介绍了利用PVM(并行虚拟机(PVM))在演化硬件问题中提高计算速度的应用,并通过与串行算法的比较,得出了在演化硬件研究中采用并行处理的优势。
A network-based distributed parallel virtual machine DPVM is developed, which is made up of virtual machine tier, communication tier and fundamental tier. There are three kinds of machines in system : server, worker and client. 构造了一个基于网络的分布并行虚拟计算机DPVM,它由虚拟机层、通信层和基本类层组成,包括服务器、工作机和客户机3种不同类型的机器。