处理机间 meaning in English
interprocessor
Examples
- With the development of vlsi and hardware technology , the size of the multicomputer systems is becoming larger , and the probability of processor failure also increases . with the rapid development of the information technology , people increase their need of network communication . wireless networking is one of the essential technologies to implement the mobile computer network
近年来超立方体结构的多处理机系统得到广泛应用，随着超大规模集成电路和硬件技术的发展，多处理机系统的规模也越来越大，系统中出现处理机故障或处理机间的链路故障的可能性也随之增加，因此，如何建立一个可靠的多处理机系统越来越受到关注。 - In this paper , the author designs and implements a sort of augmented rpc ( arpc ) mechanism for some ipv6 distributed router , this rpc mechanism take inter - process communication ( ipc ) protocol of ipv6 distributed router as its bottom communication protocol , data exchange between local and network is accomplished through xdr ( external data represent ) protocol , so as to sustain the communication between heterogeneous processor
作者为某ipv6分布式路由器设计并实现了一种扩展rpc ( arpc )机制，该arpc机制以ipv6分布式路由器中的进程间通信( ipc )协议作为底层通信协议，用xdr (外部数据表示)协议进行数据在本地和网络表示之间的转换，以支持异构处理机间的通信。 - With numerical experiments , the main work in this study is as follows : ( 1 ) the building of network parallel numerical computing platforms based on pvm on win32 system , the setting of environmental variables , the startup of pvm and the configuration of virtual machine are discussed . ( 2 ) the methods for the design of network parallel numerical computing programs based on pvm on win32 system are relatively detailedly explored in this study , including the basic pvm programming patterns , the decomposition of workload , the design of communication and the numerical stability of pvm parallel numerical algorithms . ( 3 ) the emphases are not only put on the discussion of several important factors which affect the performance of pvm parallel programs , including load - balancing , communication costs , network performance , task granularity , computer ’ s memory capacity and the number of processors , but also on the corresponding strategies for improving the performance of pvm parallel programs
本研究结合具体的数值试验,主要完成了以下工作: ( 1 )探讨了pvmonwin32的网络并行数值计算平台的构架,并行环境变量的设置, pvm的启动及虚拟机的配置等; ( 2 )较详细地讨论了基于pvmonwin32的网络并行数值计算程序设计的方法及注意事项,包括pvm基本编程模式的研究、任务的分解、通信的设计及pvm并行数值算法的数值稳定性等; ( 3 )重点研究了影响pvm并行程序性能的几个重要因素,包括负载平衡、通信开销、网络性能、任务粒度、处理机个数以及处理机内存容量问题等,并提出了相应的策略,以最大限度地提高pvm并行程序的性能; ( 4 )针对基于pvmonwin32的由桌面pc机联网而成的网络并行计算环境中,处理机的运算速度较快而处理机间的通信相对较慢的实际情况,将求解线性方程组的gauss - jordan消去法与gauss列主元消去法结合起来,给出了网上高效并行求解稠密线性方程组的无回代gauss列主元消去法,其算法处理机间的通信开销较少,实现了负载平衡和各处理机间的全并行工作; ( 5 )在考察求解线性方程组的jacobi迭代法和gauss - seidel迭代法并行性能的基础上,将两者的优越结合起来,给出了基于pvm的微机网络并行计算环境下求解线性方程组的一种分组gauss - seidel并行迭代算法。