Show simple item record

dc.contributor.advisorSwartzlander, Earl E., Jr., 1945-en
dc.creatorNaganathan, Vigneshen
dc.date.accessioned2015-11-06T21:14:59Zen
dc.date.available2015-11-06T21:14:59Zen
dc.date.issued2015-05en
dc.date.submittedMay 2015en
dc.identifierdoi:10.15781/T2TP6Pen
dc.identifier.urihttp://hdl.handle.net/2152/32303en
dc.descriptiontexten
dc.description.abstractBinary adders form a major part in various arithmetic logical operation units including multipliers, dividers and digital signal processors. Parallel prefix adders represent a set of efficient structures for binary addition, greatly suited for VLSI implementation due to their regularity and speed. This report is focused on the comparative analysis of 5 major types of parallel prefix adder frameworks namely Kooge-Stone, Knowles adders, Brent-Kung, Han-Carlson and Ladner-Fischer adders implemented in Synopsys's SAED 32nm static CMOS technology operating at 1.05V for 8-bit, 16-bit and 32-bit input vectors based on power, performance and area (PPA) metrics. The process technology is modeled with 9 metal tracks. Power, performance and area metrics based on circuit simulations are used for comparison. The metrics are compared across SAED 32nm and FreePDK 45nm technology to quantify the impact of technology on architecture.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.subjectParallel prefix addersen
dc.subjectCMOS 32nmen
dc.subjectCMOS 45nmen
dc.titleA comparative analysis of parallel prefix adders in 32nm and 45nm static CMOS technologyen
dc.typeThesisen
dc.date.updated2015-11-06T21:14:59Zen
dc.contributor.committeeMemberJOHN, LIZY Ken
dc.description.departmentElectrical and Computer Engineeringen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record