{"id":"https://openalex.org/W2100350782","doi":"https://doi.org/10.1145/1146909.1147046","title":"Gain-based technology mapping for minimum runtime leakage under input vector uncertainty","display_name":"Gain-based technology mapping for minimum runtime leakage under input vector uncertainty","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2100350782","doi":"https://doi.org/10.1145/1146909.1147046","mag":"2100350782"},"language":"en","primary_location":{"id":"doi:10.1145/1146909.1147046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1146909.1147046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd annual conference on Design automation  - DAC '06","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/A5060198895","display_name":"Ashish Kumar Singh","orcid":"https://orcid.org/0000-0003-3856-2896"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ashish Kumar Singh","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Texas Univ. at Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Texas Univ. at Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036386370","display_name":"Murari Mani","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murari Mani","raw_affiliation_strings":["Dept. of Electr. & Comput. Eng., Texas Univ. at Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Texas Univ. at Austin, TX, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045722906","display_name":"Ruchir Puri","orcid":"https://orcid.org/0009-0006-8803-7079"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruchir Puri","raw_affiliation_strings":["IBM -- T. J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM -- T. J. Watson Research Center, Yorktown Heights, NY","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090899796","display_name":"Michael Orshansky","orcid":"https://orcid.org/0000-0002-6223-4748"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Orshansky","raw_affiliation_strings":["University of Texas at Austin#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Texas at Austin#TAB#","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060198895"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":1.5324,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8360505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"522","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":1.0,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9997000098228455,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9995999932289124,"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/leakage","display_name":"Leakage (economics)","score":0.686593770980835},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.6325962543487549},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.5859942436218262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5616642236709595},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5254049897193909},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4671567976474762},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3349691927433014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22550305724143982},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13547483086585999}],"concepts":[{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.686593770980835},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.6325962543487549},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.5859942436218262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616642236709595},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5254049897193909},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4671567976474762},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3349691927433014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22550305724143982},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13547483086585999},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1146909.1147046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1146909.1147046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd annual conference on Design automation  - DAC '06","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.84.4101","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.4101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.dac.com/data2/43rd/43acceptedpapers.nsf/0c4c09c6ffa905c487256b7b007afb72/e908e5fbbf989a5a872571550074526b/$FILE/32_3.PDF","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W65564217","https://openalex.org/W1551597857","https://openalex.org/W1817545098","https://openalex.org/W1980365623","https://openalex.org/W2006152335","https://openalex.org/W2011421912","https://openalex.org/W2034270054","https://openalex.org/W2045453404","https://openalex.org/W2117648153","https://openalex.org/W2123715815","https://openalex.org/W2135779606","https://openalex.org/W2145126108","https://openalex.org/W2149898688","https://openalex.org/W2162416444","https://openalex.org/W2427843410"],"related_works":["https://openalex.org/W1488761988","https://openalex.org/W2044551864","https://openalex.org/W2047938026","https://openalex.org/W1572557500","https://openalex.org/W3124946120","https://openalex.org/W2585269888","https://openalex.org/W3132003399","https://openalex.org/W2909697207","https://openalex.org/W2005776175","https://openalex.org/W4382516294"],"abstract_inverted_index":{"The":[0,49,96,162],"gain-based":[1,19,42,141],"technology":[2,20,43],"mapping":[3,44,68],"paradigm":[4],"has":[5],"been":[6,99],"successfully":[7],"employed":[8],"for":[9,45,83],"finding":[10],"minimum":[11,14,46,70],"delay":[12,131],"and":[13,36,54,93,184],"area":[15],"mappings.":[16],"However,":[17],"existing":[18],"mappers":[21,142],"fail":[22],"to":[23,64,146,177,199],"find":[24],"circuits":[25],"with":[26,69,128,135,154],"minimal":[27],"leakage":[28,47,71,77,122,167,181],"power.":[29,48],"In":[30],"this":[31],"paper,":[32],"we":[33],"introduce":[34],"algorithms":[35,97],"modeling":[37],"strategies":[38],"that":[39,108],"enable":[40],"efficient":[41],"proposed":[50],"algorithm":[51,115,164,209],"is":[52,81,210],"probability-aware":[53],"can":[55,188],"rigorously":[56],"take":[57],"into":[58],"account":[59],"input":[60],"state":[61,180],"probability":[62],"distribution":[63],"generate":[65],"a":[66,73,147,178],"circuit":[67],"at":[72,78,124,168],"given":[74],"percentile.":[75],"Minimizing":[76],"high":[79,169,191],"percentiles":[80],"essential":[82],"minimizing":[84,182],"peak":[85],"leakage,":[86],"which":[87],"strongly":[88],"influences":[89],"the":[90,102,109,113,125,136,185,196,200,205,208],"cooling":[91],"limits":[92],"packaging":[94],"costs.":[95],"have":[98],"tested":[100],"on":[101,117,174],"ISCAS85":[103],"benchmark":[104],"suite.":[105],"Results":[106],"indicate":[107],"mappings":[110,153],"produced":[111],"by":[112,171],"new":[114,163],"consume,":[116],"average":[118],"14":[119],"%":[120,130,156,173,194],"lesser":[121,157],"power":[123],"99%":[126],"percentile":[127],"1":[129],"penalty":[132],"when":[133],"compared":[134,145,176],"approaches":[137],"used":[138],"in":[139],"previous":[140],"[2].":[143],"Also,":[144],"dominant-state":[148],"mapper,":[149],"our":[150],"approach":[151],"produces":[152],"15":[155],"mean":[158],"value":[159],"of":[160,207],"leakage.":[161],"also":[165],"reduces":[166],"quantiles":[170],"12.8":[172],"average,":[175],"dominant":[179],"mapper":[183,203],"maximum":[186],"savings":[187],"be":[189],"as":[190,192],"21.49":[193],"across":[195],"benchmarks.":[197],"Compared":[198],"bin":[201],"based":[202],"[10],":[204],"runtime":[206],"15X":[211],"faster.":[212]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
