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Program Improvement by Automatic Redistribution of Intermediate Results

dc.date.accessioned2004-10-20T19:57:59Z
dc.date.accessioned2018-11-24T10:21:59Z
dc.date.available2004-10-20T19:57:59Z
dc.date.available2018-11-24T10:21:59Z
dc.date.issued1991-02-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/6815
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/6815
dc.description.abstractIntroducing function sharing into designs allows eliminating costly structure by adapting existing structure to perform its function. This can eliminate many inefficiencies of reusing general componentssin specific contexts. "Redistribution of intermediate results'' focuses on instances where adaptation requires only addition/deletion of data flow and unused code removal. I show that this approach unifies and extends several well-known optimization classes. The system performs search and screening by deriving, using a novel explanation-based generalization technique, operational filtering predicates from input teleological information. The key advantage is to focus the system's effort on optimizations that are easier to prove safe.en_US
dc.format.extent275 p.en_US
dc.format.extent17103312 bytes
dc.format.extent13382864 bytes
dc.language.isoen_US
dc.subjectartificial intelligenceen_US
dc.subjectfunction sharingen_US
dc.subjectprogram optimizationen_US
dc.titleProgram Improvement by Automatic Redistribution of Intermediate Resultsen_US


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