Design and implementation of cohesion

Ce Kuen Shieh, Jyh Chang Ueng, An Chow Lai, Tyng Yue Liang, Su Cheong Mac

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper describes a prototype DSM system called Cohesion which supports two memory consistency models, namely. Sequential consistency and Release consistency, within a single program to improve performance and support a wide variety of parallel programs for the system. Memory that is sequentially consistent is further divided into object-based and conventional (page-based) memory, where they are constructed at the user-level and kernel-level, respectively. In object-based memory, the shared data are kept consistent in terms of the granularity of an object; this is provided to improve the performance of fine-grained parallel applications that may incur a significant overhead in conventional or release memory as well as to eliminate unnecessary movement of pages which are protected in a critical section. On the other hand, the Release consistency model is supported in Cohesion to attack the problem of excessive network traffic and false sharing. Cohesion programs are written in C++, and the annotation of shared objects for release and object-based memory is accomplished by inheriting a system-provided base class. Cohesion is built up on a network of Intel 486-33 personal computers which are connected by a 10Mbps Ethernet. Three application programs, including Matrix Multiplication, SOR, and N-body, have been employed to evaluate the efficiency of Cohesion. In addition, a Producer-Consumer program has been tested to show that the object-based memory will benefit us in a critical section.

Original languageEnglish
Pages (from-to)725-741
Number of pages17
JournalJournal of Information Science and Engineering
Volume14
Issue number4
Publication statusPublished - 1998 Dec 1

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics

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