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oai:www.ideals.illinois.edu:2142/81335 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Farid N. Najm Gupta, Subodh 2015-09-25T20:10:38Z 2015-09-25T20:10:38Z 10000-01-01 2000 2000 High-level power estimation requires power macromodel for different blocks which are easy to use and automatically constructed. The main contribution of this research is the development of macromodels for average power, energy for every input vector pair (energy per cycle) and peak-current for every input vector pair (peak current per cycle), for different logic styles. Another contribution of this research is automatic developments of these macromodels based on recursive least squares (RLS) algorithm. Due to simplicity and automatic generation of the macromodels, the macromodels can be combined with any RT tool, which in turn enables the designer to explore area, delay, and power space early in the design. Made available in DSpace on 2015-09-25T20:10:38Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9971086.pdf: 6375108 bytes, checksum: 61e88bf2560188a7adbd057b50bd6967 (MD5) Previous issue date: 2000 Embargo set by: Seth Robbins for item 82616 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 120 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2000. http://hdl.handle.net/2142/81335 (MiAaPQ)AAI9971086 eng Engineering, Electronics and Electrical Bottom-Up High -Level Power Modeling and Estimation text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.