{"id":"https://openalex.org/W2625004058","doi":"https://doi.org/10.1145/3061639.3062190","title":"A New Paradigm for Synthesis of Linear Decompressors","display_name":"A New Paradigm for Synthesis of Linear Decompressors","publication_year":2017,"publication_date":"2017-06-13","ids":{"openalex":"https://openalex.org/W2625004058","doi":"https://doi.org/10.1145/3061639.3062190","mag":"2625004058"},"language":"en","primary_location":{"id":"doi:10.1145/3061639.3062190","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3061639.3062190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th Annual Design Automation Conference 2017","raw_type":"proceedings-article"},"type":"article","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/A5007706124","display_name":"Emil Gizdarski","orcid":null},"institutions":[{"id":"https://openalex.org/I1335490905","display_name":"Synopsys (Switzerland)","ror":"https://ror.org/03mb54f81","country_code":"CH","type":"company","lineage":["https://openalex.org/I1335490905","https://openalex.org/I4210088951"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Emil Gizdarski","raw_affiliation_strings":["Synopsys Inc"],"affiliations":[{"raw_affiliation_string":"Synopsys Inc","institution_ids":["https://openalex.org/I1335490905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065896534","display_name":"P. Wohl","orcid":null},"institutions":[{"id":"https://openalex.org/I1335490905","display_name":"Synopsys (Switzerland)","ror":"https://ror.org/03mb54f81","country_code":"CH","type":"company","lineage":["https://openalex.org/I1335490905","https://openalex.org/I4210088951"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Peter Wohl","raw_affiliation_strings":["Synopsys Inc"],"affiliations":[{"raw_affiliation_string":"Synopsys Inc","institution_ids":["https://openalex.org/I1335490905"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062016144","display_name":"J.A. Waicukauski","orcid":null},"institutions":[{"id":"https://openalex.org/I1335490905","display_name":"Synopsys (Switzerland)","ror":"https://ror.org/03mb54f81","country_code":"CH","type":"company","lineage":["https://openalex.org/I1335490905","https://openalex.org/I4210088951"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"John Waicukauski","raw_affiliation_strings":["Synopsys Inc"],"affiliations":[{"raw_affiliation_string":"Synopsys Inc","institution_ids":["https://openalex.org/I1335490905"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007706124"],"corresponding_institution_ids":["https://openalex.org/I1335490905"],"apc_list":null,"apc_paid":null,"fwci":0.4506,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.5986427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"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/T11032","display_name":"VLSI and Analog Circuit Testing","score":1.0,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11338","display_name":"Advancements in Photolithography Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.8950426578521729},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.626377284526825},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.575073778629303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5685814619064331},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.5375641584396362},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.44681552052497864},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4218525290489197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2478179931640625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1375555694103241}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.8950426578521729},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626377284526825},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.575073778629303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5685814619064331},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.5375641584396362},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.44681552052497864},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4218525290489197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2478179931640625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1375555694103241},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3061639.3062190","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3061639.3062190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th Annual Design Automation Conference 2017","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1571166580","https://openalex.org/W1582825744","https://openalex.org/W1763985980","https://openalex.org/W1917503894","https://openalex.org/W1965009492","https://openalex.org/W1967660531","https://openalex.org/W1967985589","https://openalex.org/W2003936936","https://openalex.org/W2021917057","https://openalex.org/W2033455777","https://openalex.org/W2101900253","https://openalex.org/W2104884563","https://openalex.org/W2105182837","https://openalex.org/W2105282021","https://openalex.org/W2123172689","https://openalex.org/W2125317684","https://openalex.org/W2127737927","https://openalex.org/W2130149750","https://openalex.org/W2131432014","https://openalex.org/W2135627440","https://openalex.org/W2137549092","https://openalex.org/W2144033909","https://openalex.org/W2150369175","https://openalex.org/W2152832634","https://openalex.org/W2159871346","https://openalex.org/W2169451209","https://openalex.org/W2171732829","https://openalex.org/W2346421432"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W1581723585","https://openalex.org/W4378714697","https://openalex.org/W2294330161","https://openalex.org/W2253069048","https://openalex.org/W2804553224","https://openalex.org/W140709781","https://openalex.org/W3214340375","https://openalex.org/W1510159504"],"abstract_inverted_index":{"For":[0,18],"more":[1],"than":[2],"two":[3],"decades,":[4],"the":[5,46,81,85],"key":[6],"objective":[7],"for":[8,26,33,42,137],"synthesis":[9],"of":[10,60,72,88,125,134,154],"linear":[11,35,74,89],"decompressors":[12,36,75],"has":[13,106],"been":[14,107],"maximizing":[15],"encoding":[16,21,39,49,86,121,126,145,149],"efficiency.":[17],"combinational":[19],"decompressors,":[20],"satisfiability":[22],"is":[23,40,55],"dynamically":[24,98],"checked":[25],"each":[27,43],"specified":[28],"care":[29,62,100],"bit.":[30],"By":[31],"contrast,":[32],"sequential":[34,73],"(e.g.":[37],"PRPGs),":[38],"performed":[41],"test":[44,53,104,116],"cube;":[45],"resultant":[47,119],"static":[48,148],"considers":[50],"that":[51,76,143],"a":[52,69,78,92,103,132,151],"cube":[54,105],"encodable":[56],"only":[57],"if":[58],"all":[59],"its":[61],"bits":[63,101],"are":[64],"encodable.":[65],"The":[66,118],"paper":[67],"introduces":[68],"new":[70],"class":[71],"provides":[77],"trade-off":[79],"between":[80],"computational":[82],"complexity":[83],"and":[84,109,131],"efficiency":[87],"encoding.":[90],"As":[91],"result,":[93],"it":[94],"becomes":[95],"feasible":[96],"to":[97],"encode":[99],"before":[102],"completed,":[108],"derive":[110],"decompressor-implied":[111],"scan":[112],"cell":[113],"values":[114],"during":[115,128],"generation.":[117],"dynamic":[120,138,144],"enables":[122],"an":[123],"identification":[124],"conflicts":[127],"branch-and-bound":[129],"search":[130,135],"reduction":[133],"space":[136],"compaction.":[139],"Experimental":[140],"results":[141],"demonstrate":[142],"consistently":[146],"outperforms":[147],"in":[150],"wide":[152],"range":[153],"compression":[155],"ratios.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
