{"id":"https://openalex.org/W4409763571","doi":"https://doi.org/10.1109/csicc65765.2025.10967417","title":"A Double Approximate Neural Hardware Accelerator","display_name":"A Double Approximate Neural Hardware Accelerator","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4409763571","doi":"https://doi.org/10.1109/csicc65765.2025.10967417"},"language":"en","primary_location":{"id":"doi:10.1109/csicc65765.2025.10967417","doi":"https://doi.org/10.1109/csicc65765.2025.10967417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc65765.2025.10967417","pdf_url":null,"source":{"id":"https://openalex.org/S7407089026","display_name":"International Computer Conference, Computer Society of Iran (CSICC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Computer Conference, Computer Society of Iran (CSICC)","raw_type":"proceedings-article"},"volume":null,"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/A5074780500","display_name":"Samira Nazari","orcid":"https://orcid.org/0009-0000-4065-8198","observed_orcids":["https://orcid.org/0009-0000-4065-8198"]},"institutions":[{"id":"https://openalex.org/I99861883","display_name":"University of Zanjan","ror":"https://ror.org/05e34ej29","country_code":"IR","type":"education","lineage":["https://openalex.org/I99861883"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Samira Nazari","raw_affiliation_strings":["University of Zanjan,Zanjan,Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zanjan,Zanjan,Iran","institution_ids":["https://openalex.org/I99861883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061289292","display_name":"Ali Azarpeyvand","orcid":"https://orcid.org/0000-0002-4166-7528","observed_orcids":["https://orcid.org/0000-0002-4166-7528"]},"institutions":[{"id":"https://openalex.org/I99861883","display_name":"University of Zanjan","ror":"https://ror.org/05e34ej29","country_code":"IR","type":"education","lineage":["https://openalex.org/I99861883"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Azarpeyvand","raw_affiliation_strings":["University of Zanjan,Zanjan,Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zanjan,Zanjan,Iran","institution_ids":["https://openalex.org/I99861883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042603430","display_name":"Tara Ghasempouri","orcid":"https://orcid.org/0000-0001-8021-9368","observed_orcids":["https://orcid.org/0000-0001-8021-9368"]},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"Tara Ghasempouri","raw_affiliation_strings":["Tallinn University of Technology,Tallinn,Estonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tallinn University of Technology,Tallinn,Estonia","institution_ids":["https://openalex.org/I111112146"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06487837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9970999956130981,"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":0.9970999956130981,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.0008999999845400453,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.0003000000142492354,"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/approximate-computing","display_name":"approximate computing","score":0.9950000047683716},{"id":"https://openalex.org/keywords/neural-processing-units","display_name":"neural processing units","score":0.9890000224113464},{"id":"https://openalex.org/keywords/energy-consumption-reduction","display_name":"energy consumption reduction","score":0.593999981880188},{"id":"https://openalex.org/keywords/reduction-of-area","display_name":"area reduction","score":0.8840000033378601},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.6830000281333923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6634775400161743},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.612409234046936},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.42786288261413574},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32768070697784424},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.3201596140861511}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csicc65765.2025.10967417","doi":"https://doi.org/10.1109/csicc65765.2025.10967417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc65765.2025.10967417","pdf_url":null,"source":{"id":"https://openalex.org/S7407089026","display_name":"International Computer Conference, Computer Society of Iran (CSICC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 29th International Computer Conference, Computer Society of Iran (CSICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2105035536","https://openalex.org/W2198297579","https://openalex.org/W2510668155","https://openalex.org/W2533121491","https://openalex.org/W2804473037","https://openalex.org/W2806856308","https://openalex.org/W2999003874","https://openalex.org/W4225607569","https://openalex.org/W4234461763","https://openalex.org/W4296370944","https://openalex.org/W4384517582","https://openalex.org/W4389365013","https://openalex.org/W4389586399","https://openalex.org/W4400034224","https://openalex.org/W4405838333"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2096844293","https://openalex.org/W2363944576","https://openalex.org/W2351041855","https://openalex.org/W2570254841","https://openalex.org/W2518118925","https://openalex.org/W3159273459","https://openalex.org/W3152699334","https://openalex.org/W2390254310"],"abstract_inverted_index":{"Emerging":[0],"as":[1,15,147],"a":[2,40,48,86,128,135],"prominent":[3],"approach,":[4],"approximate":[5,34,64],"computing":[6,35],"has":[7],"found":[8],"widespread":[9],"application":[10],"in":[11,27,113,118,124,168],"diverse":[12],"fields":[13],"such":[14],"data":[16],"mining":[17],"and":[18,24,54,121],"image":[19],"processing,":[20],"effectively":[21],"curbing":[22],"area":[23,125],"power":[25,119],"consumption":[26,120],"processors.":[28],"One":[29],"compelling":[30],"avenue":[31],"for":[32],"integrating":[33],"involves":[36],"the":[37,44,80,93,102,144,161],"integration":[38,94],"of":[39,63,89,95,104,115,153,164],"neural":[41,67,82,105,130],"accelerator":[42],"alongside":[43],"primary":[45],"core,":[46],"offering":[47],"delicate":[49],"balance":[50],"between":[51],"computational":[52],"efficiency":[53],"precision.":[55],"A":[56],"Neural":[57],"Processing":[58],"Unit":[59],"(NPU)":[60],"emulates":[61],"regions":[62],"code":[65],"using":[66],"networks.":[68],"In":[69],"this":[70],"article,":[71],"we":[72],"introduce":[73],"ANPiler-":[74],"an":[75,165],"innovative":[76],"framework":[77],"that":[78],"augments":[79],"existing":[81],"processing":[83,131],"unit":[84,132],"with":[85,134,142],"reconfigurable":[87],"layer":[88],"approximation,":[90],"achieved":[91,141],"through":[92],"inexact":[96],"arithmetic":[97],"building":[98],"blocks.":[99],"ANPiler":[100],"empowers":[101],"design":[103],"accelerators":[106],"featuring":[107],"imprecise":[108],"adders":[109],"or":[110],"multipliers,":[111],"resulting":[112],"reductions":[114],"about":[116],"S.55%":[117],"approximately":[122],"13.09%":[123],"compared":[126,155],"to":[127,156],"precise":[129],"coupled":[133],"main":[136],"core.":[137],"These":[138],"gains":[139],"are":[140],"almost":[143],"same":[145],"accuracy":[146],"before,":[148],"further":[149],"underpinning":[150],"energy":[151],"savings":[152],"3.0x":[154],"general-purpose":[157],"processors,":[158],"thereby":[159],"reinforcing":[160],"value":[162],"proposition":[163],"exact":[166],"NPU":[167],"practical":[169],"applications.":[170]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}