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Analyzing communication flow and process placement in Linda programs on transputers

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dc.contributor.author De-Heer-Menlah FK en
dc.date.accessioned 2016-09-22T08:13:36Z
dc.date.available 2016-09-22T08:13:36Z
dc.date.created 1991 en
dc.date.submitted 1992 en
dc.identifier.uri http://hdl.handle.net/20.500.11892/25652
dc.description.abstract With the evolution of parallel and distributed systems, users from diverse disciplines have looked to these systems as a solution to their ever increasing needs for computer processing resources. Because parallel processing systems currently require a high level of expertise to program, many researchers are investing effort into developing programming approaches which hide some of the difficulties of parallel programming from users. Linda, is one such parallel paradigm, which is intuitive to use, and which provides a high level decoupling between distributable components of parallel programs. In Linda, efficiency becomes a concern of the implementation rather than of the programmer. There is a substantial overhead in implementing Linda, an inherently shared memory model, on a distributed system. This thesis describes the compile-time analysis of Tuple space interactions which reduce the run-time matching costs, and permits the distribution of the Tuple space data. A language independent module which partitions the Tuple space data and suggests appropriate storage schemes for the partitions so as to optimise Linda operations is presented. The thesis also discusses hiding the network topology from the user by automatically allocating Linda processes and Tuple space partitions to nodes in the network of transputers. This is done by introducing a fast placement algorithm developed for Linda. en
dc.language English en
dc.subject Computer Science en
dc.subject Processing modes en
dc.title Analyzing communication flow and process placement in Linda programs on transputers en
dc.type Masters degree en
dc.description.degree MSc en


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