构建多任务编程环境

Feng-Jian Wang, Pei-Chi Wu, Kai-Ru Yong, Jieh-Cherng Wang, Cherng-Wu Shaw
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引用次数: 0

摘要

介绍了多任务编程环境MCPE的构造。MCPE包含多个任务,因此可以加快响应速度并利用空闲的CPU时间。任务之间通过共享数据存储进行通信。任务(如结构编辑器和静态分析器)被设计为轻量级过程。共享数据存储(如语法树和符号表)由监视器管理,以保证有效共享。对共享数据存储的访问是广播的,以便相关工具可以终止不必要的作业。MCPE是在Smalltalk的基础上构建的,使用了一个可重用代码库,比如MVC(模型、视图控制器)三元组和类。实验表明,响应时间大大缩短。通过重用这些类,可以很容易地构建新工具,并且可以将其添加到MCPE中,而不会进一步延迟系统响应。
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Constructing a multitasking programming environment
The construction of a multitasking programming environment called MCPE is presented. MCPE contains multiple tasks so that it can speed up response and utilize idle CPU time. Tasks communicate with each other through shared data storage. The tasks (such as a structure editor and a static analyzer) were designed as lightweight processes. The shared data storage (such as the grammar tree and the symbol table) are managed by monitors to guarantee effective sharing. Access on shared data storage is broadcast, so that the related tools can terminate unnecessary jobs. MCPE has been built on Smalltalk using a library of reusable codes, such as the MVC (model, view controller) triad and classes. The experiments showed that response time has been reduced. New tools can easily be built by reusing these classes and can be added to MCPE with no further delay in system response.<>
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