Show simple item record

dc.contributor.advisorGregg, David
dc.contributor.authorWilliams, Kevin
dc.date.accessioned2019-11-14T15:55:50Z
dc.date.available2019-11-14T15:55:50Z
dc.date.issued2010
dc.identifier.citationKevin Williams, 'Data and type optimizations in virtual machine interpreters', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2010, pp 143
dc.identifier.otherTHESIS 8937
dc.description.abstractVirtual machines provide a portable platform for the execution of programming languages. They are popular amongst language designers as they simplify the task of developing a language and its features. Programmers benefit from virtual machines as a single implementation of a program can be run on many platforms. Virtual machine interpreter implementations are commonly slower than an equivalent native implementation. The optimization of virtual machine interpreters is the goal of many virtual machine research projects. In this dissertation, we investigate optimizations for two different interpreters implementing the programming languages Java and Lua.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb14380378
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin.
dc.titleData and type optimizations in virtual machine interpreters
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 143
dc.description.noteTARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/90667


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record