{"id":"https://openalex.org/W4318685301","doi":"https://doi.org/10.1145/3566097.3567887","title":"Approximating HW Accelerators through Partial Extractions onto Shared Artificial Neural Networks","display_name":"Approximating HW Accelerators through Partial Extractions onto Shared Artificial Neural Networks","publication_year":2023,"publication_date":"2023-01-16","ids":{"openalex":"https://openalex.org/W4318685301","doi":"https://doi.org/10.1145/3566097.3567887"},"language":"en","primary_location":{"id":"doi:10.1145/3566097.3567887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567887","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","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/A5079973343","display_name":"Prattay Chowdhury","orcid":"https://orcid.org/0000-0003-1018-7836"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prattay Chowdhury","raw_affiliation_strings":["The University of Texas at Dallas"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041219383","display_name":"Jorge Castro God\u00ednez","orcid":null},"institutions":[{"id":"https://openalex.org/I145372079","display_name":"Instituto Tecnol\u00f3gico de Costa Rica","ror":"https://ror.org/04zhrfn38","country_code":"CR","type":"education","lineage":["https://openalex.org/I145372079"]}],"countries":["CR"],"is_corresponding":false,"raw_author_name":"Jorge Castro God\u00ednez","raw_affiliation_strings":["Instituto Tecnol\u00f3gico de Costa Rica, Costa Rica"],"affiliations":[{"raw_affiliation_string":"Instituto Tecnol\u00f3gico de Costa Rica, Costa Rica","institution_ids":["https://openalex.org/I145372079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064356970","display_name":"Benjamin Carri\u00f3n Sch\u00e4fer","orcid":"https://orcid.org/0000-0002-4755-6503"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Carrion Schafer","raw_affiliation_strings":["The University of Texas at Dallas"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079973343"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.5093,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58323766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"410","last_page":"415"},"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.747832715511322},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6253739595413208},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5566104650497437},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5341511964797974},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5017032623291016},{"id":"https://openalex.org/keywords/hardware-acceleration","display_name":"Hardware acceleration","score":0.4988110065460205},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4797022044658661},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4460684061050415},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39744043350219727},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.335409939289093},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3331872522830963},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33144110441207886},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.2730896770954132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13745927810668945},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10029375553131104},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09758999943733215},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07563439011573792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747832715511322},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6253739595413208},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5566104650497437},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5341511964797974},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5017032623291016},{"id":"https://openalex.org/C13164978","wikidata":"https://www.wikidata.org/wiki/Q600158","display_name":"Hardware acceleration","level":3,"score":0.4988110065460205},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4797022044658661},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4460684061050415},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39744043350219727},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.335409939289093},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3331872522830963},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33144110441207886},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.2730896770954132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13745927810668945},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10029375553131104},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09758999943733215},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07563439011573792},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3566097.3567887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3566097.3567887","pdf_url":null,"source":{"id":"https://openalex.org/S4363608968","display_name":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1984506768","https://openalex.org/W1986192284","https://openalex.org/W1998824039","https://openalex.org/W2005487033","https://openalex.org/W2013959289","https://openalex.org/W2020217519","https://openalex.org/W2034270503","https://openalex.org/W2084732345","https://openalex.org/W2140145164","https://openalex.org/W2244803248","https://openalex.org/W2519246207","https://openalex.org/W2809263317","https://openalex.org/W2998387181","https://openalex.org/W3129272413","https://openalex.org/W4233051063","https://openalex.org/W4243410967"],"related_works":["https://openalex.org/W2317123011","https://openalex.org/W3186848359","https://openalex.org/W2948732017","https://openalex.org/W2911534612","https://openalex.org/W2976797014","https://openalex.org/W2036193034","https://openalex.org/W2897366960","https://openalex.org/W4390978349","https://openalex.org/W2037330166","https://openalex.org/W1528732439"],"abstract_inverted_index":{"One":[0],"approach":[1],"that":[2],"has":[3],"been":[4],"suggested":[5],"to":[6,31,52],"further":[7],"reduce":[8],"the":[9,22,25,33,43],"energy":[10],"consumption":[11],"of":[12,42],"heterogenous":[13],"Systems-on-Chip":[14],"(SoCs)":[15],"is":[16,27],"approximate":[17,20,53],"computing.":[18,54],"In":[19],"computing":[21],"error":[23],"at":[24],"output":[26],"relaxed":[28],"in":[29,46],"order":[30],"simplify":[32],"hardware":[34,44],"and":[35],"thus,":[36],"achieve":[37],"lower":[38],"power.":[39],"Fortunately,":[40],"most":[41],"accelerators":[45],"these":[47],"SoCs":[48],"are":[49],"also":[50],"amenable":[51]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}