{"id":"https://openalex.org/W3184033361","doi":"https://doi.org/10.23919/date51398.2021.9474239","title":"TruLook: A Framework for Configurable GPU Approximation","display_name":"TruLook: A Framework for Configurable GPU Approximation","publication_year":2021,"publication_date":"2021-02-01","ids":{"openalex":"https://openalex.org/W3184033361","doi":"https://doi.org/10.23919/date51398.2021.9474239","mag":"3184033361"},"language":"en","primary_location":{"id":"doi:10.23919/date51398.2021.9474239","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9474239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","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/A5036727505","display_name":"Ricardo Garc\u0131\u0301a","orcid":"https://orcid.org/0000-0002-7115-1928"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ricardo Garcia","raw_affiliation_strings":["University of California San Diego"],"affiliations":[{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011458605","display_name":"Fatemeh Asgarinejad","orcid":"https://orcid.org/0000-0003-1894-1565"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fatemeh Asgarinejad","raw_affiliation_strings":["University of California San Diego"],"affiliations":[{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060490428","display_name":"Behnam Khaleghi","orcid":"https://orcid.org/0000-0002-3655-0501"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnam Khaleghi","raw_affiliation_strings":["University of California San Diego"],"affiliations":[{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112841571","display_name":"Tajana Rosing","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tajana Rosing","raw_affiliation_strings":["University of California San Diego"],"affiliations":[{"raw_affiliation_string":"University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033221192","display_name":"Mohsen Imani","orcid":"https://orcid.org/0000-0002-5761-0622"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Imani","raw_affiliation_strings":["University of California Irvine"],"affiliations":[{"raw_affiliation_string":"University of California Irvine","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036727505"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08111111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991000294685364,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.805690586566925},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6805386543273926},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.6405214071273804},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5672426223754883},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.45191699266433716},{"id":"https://openalex.org/keywords/lookup-table","display_name":"Lookup table","score":0.4406375586986542},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43833106756210327},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.43644025921821594},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42365920543670654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3530271053314209},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11870425939559937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.805690586566925},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6805386543273926},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.6405214071273804},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5672426223754883},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.45191699266433716},{"id":"https://openalex.org/C134835016","wikidata":"https://www.wikidata.org/wiki/Q690265","display_name":"Lookup table","level":2,"score":0.4406375586986542},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43833106756210327},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.43644025921821594},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42365920543670654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3530271053314209},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11870425939559937},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date51398.2021.9474239","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date51398.2021.9474239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.47999998927116394,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4422425012","display_name":null,"funder_award_id":"2988.001","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"}],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2030922317","https://openalex.org/W2060437593","https://openalex.org/W2097117768","https://openalex.org/W2163605009","https://openalex.org/W2186615578","https://openalex.org/W2279098554","https://openalex.org/W2346685430","https://openalex.org/W2352050502","https://openalex.org/W2499900168","https://openalex.org/W2593197694","https://openalex.org/W2625133503","https://openalex.org/W2625483679","https://openalex.org/W2736244279","https://openalex.org/W2746351350","https://openalex.org/W2799026378","https://openalex.org/W2883583014","https://openalex.org/W2884822385","https://openalex.org/W2902510017","https://openalex.org/W2909711603","https://openalex.org/W2945383908","https://openalex.org/W2949989598","https://openalex.org/W2962758826","https://openalex.org/W3036618269","https://openalex.org/W3103415979","https://openalex.org/W3111851043","https://openalex.org/W6684191040","https://openalex.org/W6705794249","https://openalex.org/W6739693220","https://openalex.org/W6780040022","https://openalex.org/W6787028673"],"related_works":["https://openalex.org/W2798215405","https://openalex.org/W2990962948","https://openalex.org/W2384475851","https://openalex.org/W2000444236","https://openalex.org/W2084169748","https://openalex.org/W2127529229","https://openalex.org/W2353602216","https://openalex.org/W2355515259","https://openalex.org/W2367078749","https://openalex.org/W2381798600"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"TruLook,":[5],"a":[6,67,85,123],"framework":[7],"that":[8,43,51,89,135],"employs":[9],"approximate":[10,22,87],"computing":[11],"techniques":[12],"for":[13,56,108],"GPU":[14,36],"acceleration":[15],"through":[16],"computation":[17],"reuse":[18],"as":[19,21],"well":[20],"arithmetic":[23,81],"operations":[24,94],"to":[25,47,66],"eliminate":[26],"redundant":[27],"and":[28,58,92,128,138,150],"unnecessary":[29],"exact":[30,57],"computations.":[31],"To":[32],"enable":[33],"computational":[34],"reuse,":[35],"is":[37,64,82],"enhanced":[38],"with":[39,136],"small":[40],"lookup":[41],"tables":[42],"are":[44,96],"placed":[45],"close":[46],"the":[48,71,78,104,113,160],"stream":[49],"cores":[50],"return":[52],"already":[53],"computed":[54],"values":[55],"potential":[59],"inexact":[60],"matches.":[61],"Inexact":[62],"matching":[63],"subject":[65],"threshold":[68],"controlled":[69],"by":[70,84,100,111],"number":[72],"of":[73,126],"mantissa":[74],"bits":[75],"involved":[76],"in":[77],"search.":[79],"Approximate":[80],"provided":[83],"configurable":[86],"multiplier":[88],"dynamically":[90],"detects":[91],"approximates":[93],"which":[95],"not":[97],"significantly":[98],"affected":[99],"approximation.":[101],"TruLook":[102,120,145],"guarantees":[103],"accuracy":[105],"bound":[106],"required":[107],"an":[109],"application":[110],"configuring":[112],"hardware":[114],"at":[115],"runtime.":[116],"We":[117],"have":[118],"evaluated":[119],"efficiency":[121],"on":[122,147,159],"wide":[124],"range":[125],"multimedia":[127],"deep":[129],"learning":[130],"applications.":[131],"Our":[132],"evaluation":[133],"shows":[134],"0%":[137],"less":[139],"than":[140],"1%":[141],"quality":[142],"loss":[143],"budget,":[144],"yields":[146],"average":[148],"2.1\u00d7":[149],"5.6\u00d7":[151],"energy-delay":[152],"product":[153],"improvement":[154],"over":[155],"four":[156],"popular":[157],"networks":[158],"ImageNet":[161],"dataset.":[162]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}