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iLORE: Discovering a Lineage of Microprocessors

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dc.contributor.authorFurman, Samuel Lewisen
dc.contributor.committeechairCameron, Kirk W.en
dc.contributor.committeememberBack, Godmar V.en
dc.contributor.committeememberEllis, Margaret O.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2021-07-01T08:01:34Zen
dc.date.available2021-07-01T08:01:34Zen
dc.date.issued2021-06-29en
dc.description.abstractResearchers, benchmarking organizations, and hardware manufacturers maintain repositories of computer component and performance information. However, this data is split across many isolated sources and is stored in a form that is not conducive to analysis. A centralized repository of said data would arm stakeholders across industry and academia with a tool to more quantitatively understand the history of computing. We propose iLORE, a data model designed to represent intricate relationships between computer system benchmarks and computer components. We detail the methods we used to implement and populate the iLORE data model using data harvested from publicly available sources. Finally, we demonstrate the validity and utility of our iLORE implementation through an analysis of the characteristics and lineage of commercial microprocessors. We encourage the research community to interact with our data and visualizations at csgenome.org.en
dc.description.abstractgeneralResearchers, benchmarking organizations, and hardware manufacturers maintain repositories of computer component and performance information. However, this data is split across many isolated sources and is stored in a form that is not conducive to analysis. A centralized repository of said data would arm stakeholders across industry and academia with a tool to more quantitatively understand the history of computing. We propose iLORE, a data model designed to represent intricate relationships between computer system benchmarks and computer components. We detail the methods we used to implement and populate the iLORE data model using data harvested from publicly available sources. Finally, we demonstrate the validity and utility of our iLORE implementation through an analysis of the characteristics and lineage of commercial microprocessors. We encourage the research community to interact with our data and visualizations at csgenome.org.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:31519en
dc.identifier.urihttp://hdl.handle.net/10919/104071en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectComputer historyen
dc.subjectsystemsen
dc.subjectcomputer architectureen
dc.subjectmicroprocessorsen
dc.titleiLORE: Discovering a Lineage of Microprocessorsen
dc.typeThesisen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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