多处理器m级HMPMB互连的带宽分析

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY Pub Date : 2014-08-04 DOI:10.1504/IJCAT.1996.062309

Jian Li, Hu-Jun Wang, Hui-Zhong Wu

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引用次数: 0

摘要

互连网络是决定多处理器系统性能的主要因素之一。建立一个能够正确评估人工智能效率的模型是非常必要的。提出了一种m级HMPMB多处理器系统，并对其带宽性能进行了分析。分别为层次上等可能的情况和最喜欢的情况开发了两个模型。他们表明，m级HMPMB多处理器系统表现良好，并且在高偏好请求率方面与典型的面向内存的部分多总线系统(MPMB)相当接近。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bandwidth analysis of m–Level HMPMB interconnections for multiprocessors

The interconnection network (IN) is one of the major factors which determine the performance of a multiprocessor system. It is imperative to have a model by which the efficiency of the IN can be correctly evaluated. This paper presents an m–level HMPMB multiprocessor system and analyses its bandwidth performance. Two models are developed for the hierarchically equally likely case and favourite case, respectively. They show that the m–level HMPMB multiprocessor system performs well and is fairly close to a typical memory–oriented partial multiple bus system (MPMB) for high rates of favourite requests.

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来源期刊

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

2.80

自引率

45.50%

发文量

期刊介绍： IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Topics covered include: -Computer applications in engineering and technology- Computer control system design- CAD/CAM, CAE, CIM and robotics- Computer applications in knowledge-based and expert systems- Computer applications in information technology and communication- Computer-integrated material processing (CIMP)- Computer-aided learning (CAL)- Computer modelling and simulation- Synthetic approach for engineering- Man-machine interface- Software engineering and management- Management techniques and methods- Human computer interaction- Real-time systems