Generative communication in Linda

Generative communication is the basis of a new distributed programming langauge that is intended for systems programming in distributed settings generally and on integrated network computers in particular. It differs from previous interprocess communication models in specifying that messages be adde...

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Bibliographic Details
Published in:ACM transactions on programming languages and systems 1985-01, Vol.7 (1), p.80-112
Main Author: Gelernter, David
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Communications management
Compilers
Computer graphics
Computer science
control theory
systems
Computer vision
Computing methodologies
Concurrent computing methodologies
Concurrent programming languages
Concurrent programming structures
Contextual software domains
Distributed memory
Distributed systems organizing principles
Document representation
Exact sciences and technology
General programming languages
Image manipulation
Image processing
Information retrieval
Information systems
Language features
Language types
Memory management
Message passing
Network protocols
Networks
Operating systems
Organizing principles for web applications
Programming languages
Software
Software and its engineering
Software notations and tools
Software organization and properties
Software system structures
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Summary:Generative communication is the basis of a new distributed programming langauge that is intended for systems programming in distributed settings generally and on integrated network computers in particular. It differs from previous interprocess communication models in specifying that messages be added in tuple-structured form to the computation environment, where they exist as named, independent entities until some process chooses to receive them. Generative communication results in a number of distinguishing properties in the new language, Linda, that is built around it. Linda is fully distributed in space and distributed in time; it allows distributed sharing, continuation passing, and structured naming. We discuss these properties and their implications, then give a series of examples. Linda presents novel implementation problems that we discuss in Part II. We are particularly concerned with implementation of the dynamic global name space that the generative communication model requires.
ISSN:0164-0925
1558-4593
DOI:10.1145/2363.2433