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oai:www.ideals.illinois.edu:2142/81083 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Thus, our proposed techniques address the challenging problem of energy reduction and reliable operation in a unified manner. They enable us to design deterministic systems even though the process technology has statistical variations. These techniques provide a new computational model that is better suited to the realities of the nanoscale era. Such computational models may be key to extending Moore's law into the deep nanoscale silicon and post-silicon era. Made available in DSpace on 2015-09-25T20:09:31Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3314923.pdf: 1808973 bytes, checksum: ea40d5c8f258ce476fb99b18c5bb6921 (MD5) Previous issue date: 2008 Shanbhag, Naresh R. Varatkar, Girish Vishnu 2015-09-25T20:09:31Z 2015-09-25T20:09:31Z 10000-01-01 2008 2008 Embargo set by: Seth Robbins for item 82365 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 106 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81083 (MiAaPQ)AAI3314923 eng Engineering, Electronics and Electrical Energy-Efficient and Error-Tolerant Digital Design text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.