2026-09-18T19:13:21Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81812 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

2008 Adve, Sarita V. Li, Xiaodong 2015-09-25T20:20:33Z 2015-09-25T20:20:33Z 10000-01-01 2008 To sum up, this dissertation studies the architecture level soft error modeling and analysis problems. It provides new techniques to examine and take advantage of architecture level soft error behavior. We apply our tool to investigate the impact of technology scaling on soft errors. We also propose an efficient online AVF estimation algorithm. Made available in DSpace on 2015-09-25T20:20:33Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3314837.pdf: 4980144 bytes, checksum: 6227fc15f664dacf5d6a6df8003bb1b4 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 83093 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 84 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81812 (MiAaPQ)AAI3314837 eng Computer Science Soft Error Modeling and Analysis for Microprocessors text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.