{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:05:28Z","timestamp":1740135928171,"version":"3.37.3"},"reference-count":32,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,7,28]],"date-time":"2013-07-28T00:00:00Z","timestamp":1374969600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/E001947\/1"],"award-info":[{"award-number":["EP\/E001947\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["VLSI Design"],"published-print":{"date-parts":[[2013,7,28]]},"abstract":"<jats:p>The intrinsic variability of nanoscale VLSI technology must be taken into account when analyzing circuit designs to predict likely yield. Monte-Carlo- (MC-) and quasi-MC- (QMC-) based statistical techniques do this by analysing many randomised or quasirandomised copies of circuits. The randomisation must model forms of variability that occur in nano-CMOS technology, including \u201catomistic\u201d effects without intradie correlation and effects with intradie correlation between neighbouring devices. A major problem is the computational cost of carrying out sufficient analyses to produce statistically reliable results. The use of principal components analysis, behavioural modeling, and an implementation of \u201cStatistical Blockade\u201d (SB) is shown to be capable of achieving significant reduction in the computational costs. A computation time reduction of 98.7% was achieved for a commonly used asynchronous circuit element. Replacing MC by QMC analysis can achieve further computation reduction, and this is illustrated for more complex circuits, with the results being compared with those of transistor-level simulations. The \u201cyield prediction\u201d analysis of SRAM arrays is taken as a case study, where the arrays contain up to 1536 transistors modelled using parameters appropriate to 35\u2009nm technology. It is reported that savings of up to 99.85% in computation time were obtained.<\/jats:p>","DOI":"10.1155\/2013\/984376","type":"journal-article","created":{"date-parts":[[2013,7,28]],"date-time":"2013-07-28T21:01:22Z","timestamp":1375045282000},"page":"1-22","source":"Crossref","is-referenced-by-count":0,"title":["Computational Performance Optimisation for Statistical Analysis of the Effect of Nano-CMOS Variability on Integrated Circuits"],"prefix":"10.1155","volume":"2013","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2884-5331","authenticated-orcid":true,"given":"Zheng","family":"Xie","sequence":"first","affiliation":[{"name":"School of Computer Science, The University of Manchester, Manchester M13 9PL, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Doug","family":"Edwards","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Manchester, Manchester M13 9PL, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1093\/ietele\/e89-c.3.342"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2003.815862"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2006.885683"},{"year":"2005","key":"3"},{"volume":"33","year":"1954","series-title":"Applied Mathematical","key":"9"},{"issue":"2\u20134","key":"8","first-page":"323","volume":"17","year":"2005","journal-title":"Concurrency and Computation"},{"issue":"247","key":"16","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1080\/01621459.1949.10483310","volume":"44","year":"1949","journal-title":"Journal of the American Statistical Association"},{"issue":"2","key":"17","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/0021-9991(78)90004-9","volume":"27","year":"1978","journal-title":"Journal of Computational Physics"},{"volume":"63","year":"1992","series-title":"Regional Conference Series in Applied Mathematics","key":"18"},{"year":"1961","key":"19"},{"year":"2009","series-title":"Springer Series in Statistics","key":"20"},{"journal-title":"Bulletin of the American Mathematical Society","year":"1978","key":"21"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1134\/S0965542506120050"},{"issue":"4","key":"24","doi-asserted-by":"crossref","first-page":"1541","DOI":"10.1214\/aos\/1031594731","volume":"25","year":"1997","journal-title":"Annals of Statistics"},{"key":"25","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1063\/1.4822899","volume":"4","year":"1990","journal-title":"Computers in Physics"},{"volume-title":"Adaptive Quasi-Monte Carlo integration based on MISER and VEGAS","year":"2002","key":"26"},{"key":"46","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/0021-9991(78)90004-9","volume":"27","year":"1978","journal-title":"Journal of Computational Physics"},{"volume-title":"Fast principal components analysis method for finance problems with unequal time steps","year":"2010","key":"11"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1016\/j.sse.2009.09.028"},{"year":"2007","key":"31"},{"year":"2005","key":"36"},{"year":"2005","key":"37"},{"key":"51","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2002.806601"},{"key":"52","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2007.904100"},{"key":"53","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2005.862751"},{"year":"1987","key":"38"},{"year":"2008","key":"39"},{"year":"2005","key":"40"},{"key":"42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S0962492900002804","volume":"7","year":"1998","journal-title":"Acta Numerica"},{"year":"2005","key":"43"},{"volume-title":"Quasi-Monte Carlo methods for particle transport problems","year":"1995","key":"44"},{"volume":"33","year":"1954","series-title":"Applied Mathematical, Series","key":"45"}],"container-title":["VLSI Design"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/archive\/2013\/984376.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2013\/984376.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/archive\/2013\/984376.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T19:20:01Z","timestamp":1607628001000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/vlsi\/2013\/984376\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,7,28]]},"references-count":32,"alternative-id":["984376","984376"],"URL":"https:\/\/doi.org\/10.1155\/2013\/984376","relation":{},"ISSN":["1065-514X","1563-5171"],"issn-type":[{"type":"print","value":"1065-514X"},{"type":"electronic","value":"1563-5171"}],"subject":[],"published":{"date-parts":[[2013,7,28]]}}}