{"id":"https://openalex.org/W2151295037","doi":"https://doi.org/10.1145/1785481.1785501","title":"Software adaptation in quality sensitive applications to deal with hardware variability","display_name":"Software adaptation in quality sensitive applications to deal with hardware variability","publication_year":2010,"publication_date":"2010-05-16","ids":{"openalex":"https://openalex.org/W2151295037","doi":"https://doi.org/10.1145/1785481.1785501","mag":"2151295037"},"language":"en","primary_location":{"id":"doi:10.1145/1785481.1785501","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1785481.1785501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th symposium on Great lakes symposium on VLSI","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110061827","display_name":"Aashish Pant","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aashish Pant","raw_affiliation_strings":["University of California Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084229134","display_name":"Puneet Gupta","orcid":"https://orcid.org/0000-0002-6188-1134"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Puneet Gupta","raw_affiliation_strings":["University of California Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012339002","display_name":"Mihaela van der Schaar","orcid":"https://orcid.org/0000-0003-3933-6049"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihaela van der Schaar","raw_affiliation_strings":["University of California Los Angeles, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7765251398086548},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6456245183944702},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6352642178535461},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6180177330970764},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.6028865575790405},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5963141918182373},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.45942142605781555},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4323233962059021},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.42981356382369995},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42407703399658203},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3678016662597656},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.33659636974334717},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.327739953994751},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24292001128196716},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09783199429512024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08318403363227844},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07416820526123047}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765251398086548},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6456245183944702},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6352642178535461},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6180177330970764},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.6028865575790405},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5963141918182373},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.45942142605781555},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4323233962059021},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.42981356382369995},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42407703399658203},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3678016662597656},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33659636974334717},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.327739953994751},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24292001128196716},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09783199429512024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08318403363227844},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07416820526123047},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1785481.1785501","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1785481.1785501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th symposium on Great lakes symposium on VLSI","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.689.7039","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.689.7039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nanocad.ee.ucla.edu/pub/Main/Publications/C49_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1491211775","https://openalex.org/W1553982360","https://openalex.org/W1742626251","https://openalex.org/W1993107416","https://openalex.org/W2012781307","https://openalex.org/W2034593585","https://openalex.org/W2088635976","https://openalex.org/W2091903090","https://openalex.org/W2097325076","https://openalex.org/W2098828517","https://openalex.org/W2099212771","https://openalex.org/W2104677471","https://openalex.org/W2116521294","https://openalex.org/W2117648153","https://openalex.org/W2123355738","https://openalex.org/W2123853086","https://openalex.org/W2129768577","https://openalex.org/W2135856491","https://openalex.org/W2143225747","https://openalex.org/W2143888226","https://openalex.org/W2144004258","https://openalex.org/W2147000487","https://openalex.org/W2148042901","https://openalex.org/W2150526221","https://openalex.org/W2158732322","https://openalex.org/W2159361123","https://openalex.org/W2169528473","https://openalex.org/W4299142521","https://openalex.org/W6681383903","https://openalex.org/W6681607205"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W4256502920","https://openalex.org/W4283822356","https://openalex.org/W1950940422","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2147282173","https://openalex.org/W2031349701"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,54,96],"propose":[4],"a":[5,67],"method":[6],"to":[7,41,163],"reduce":[8],"the":[9,16,20,25,31,136],"impact":[10],"of":[11,27,99,129],"process":[12],"variations":[13],"by":[14],"adapting":[15],"application's":[17],"algorithm":[18],"at":[19,64,77,92],"software":[21,43],"layer.":[22],"We":[23,111,139],"introduce":[24],"concept":[26],"hardware":[28,35],"signatures":[29],"as":[30,51,61,72,74,80,82],"measured":[32],"post":[33],"manufacturing":[34],"characteristics":[36],"that":[37,113,141],"can":[38],"be":[39],"used":[40],"drive":[42],"adaptation":[44,145],"across":[45],"different":[46],"die.":[47],"Using":[48],"H.264":[49,137],"encoding":[50],"an":[52,125,147],"example,":[53],"demonstrate":[55],"significant":[56],"yield":[57,108],"improvements":[58,85],"(as":[59],"much":[60,73],"40%":[62],"points":[63,76,122],"0%":[65],"over-design),":[66],"reduction":[68],"in":[69,89,124,127,167],"over-design":[70],"(by":[71,155],"10%":[75],"80%":[78,93],"yield)":[79],"well":[81],"application":[83,144,157],"quality":[84],"(about":[86],"2.6dB":[87],"increase":[88],"average":[90],"PSNR":[91,128],"yield).":[94],"Further,":[95],"investigate":[97],"implications":[98],"limited":[100],"information":[101],"exchange":[102],"(i.e.":[103],"signature":[104,120],"measurement":[105,121],"granularity)":[106],"on":[107],"and":[109,149,159],"quality.":[110],"show":[112],"our":[114],"proposed":[115],"technique":[116],"for":[117,135],"determining":[118],"optimal":[119],"results":[123],"improvement":[126],"about":[130],"1.3dB":[131],"over":[132],"naive":[133],"sampling":[134],"encoder.":[138],"conclude":[140],"hardware-signature":[142],"based":[143],"is":[146],"easy":[148],"inexpensive":[150],"(to":[151],"implement),":[152],"better":[153],"informed":[154],"actual":[156],"requirements)":[158],"e":[160],"ffective":[161],"way":[162],"manage":[164],"yield-cost-quality":[165],"tradeoffs":[166],"application-implementation":[168],"design":[169],"flows.":[170]},"counts_by_year":[{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
