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Language Support for Parallel Computation

Authors: C. V. Ramamoorthy;

Language Support for Parallel Computation

Abstract

Abstract : This final technical report summarizes the research accomplished under the Expert Science and Engineering (ES&E) program by the University of California at Berkeley through Syracuse University. The research effort, entitled 'Parallel Extensions for Object Oriented Programming', examined communication aspects leading to language support for parallel computation. The work undertaken in this effort has extended concurrent programming languages in their communication primitives. Although many abstraction mechanisms have been used in programming languages, including control abstraction mechanisms (such as procedures) and data abstraction mechanisms (such as data types), communication abstraction mechanisms have been found to be the most useful for parallel/ concurrent programming paradigms. Work accomplished in this effort has extended those mechanisms, concentrating on inter-process communication. A formal model for concurrent systems, called the Synchronous Token-based Communicating State (STOCS) model, has been used to model and analyze concurrent systems. Since present concurrent languages do not support any form of analysis of the communication structure of programs, two new constructs based on STOCS formalism have been developed to support high level specification - handshake and unit. A fair and efficient algorithm for execution of multi-process shared events is also presented.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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