Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/10227
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRaju, K. R. P.-
dc.date.accessioned2014-11-23T08:48:54Z-
dc.date.available2014-11-23T08:48:54Z-
dc.date.issued1991-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/10227-
dc.guideGupta, J. P.-
dc.guideKumar, Padam-
dc.description.abstractFunctional languages can be extended to parallel evaluation because of the absence of side effects in them. However, in lazy implementations, evaluating all expressions in which some are to be subsequently discarded, results in wasting of machine resources. This wastage can be reduced if the expression is evaluated only when its value is needed in future eva.l ua.tions. This type of information (whether the value of the expression is needed in future evaluations or not) can be extracted from the expression using strictness analysis, which is a. compile time technique based on abstract interpretation. The strictness analysis can also be used to increase the efficiency of the sequential machines. In this dissertation supercombina.tors have been analysed using strictness analysis. Accordingly they have been annotated to give the information about the arguments whether they can be evaluated in parallel or not.en_US
dc.language.isoenen_US
dc.subjectELECTRONICS AND COMPUTER ENGINEERINGen_US
dc.subjectSTRICTNESS ANALYSERen_US
dc.subjectSUPERCOMBINATORSen_US
dc.subjectFUNCTIONAL LANGUAGEen_US
dc.titleSTRICTNESS ANALYSER FOR SUPERCOMBINATORSen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number246363en_US
Appears in Collections:MASTERS' THESES (E & C)

Files in This Item:
File Description SizeFormat 
ECD246363.pdf1.74 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.