{"id":"https://openalex.org/W2908625909","doi":"https://doi.org/10.1145/3287624.3287663","title":"SeFAct","display_name":"SeFAct","publication_year":2019,"publication_date":"2019-01-18","ids":{"openalex":"https://openalex.org/W2908625909","doi":"https://doi.org/10.1145/3287624.3287663","mag":"2908625909"},"language":"en","primary_location":{"id":"doi:10.1145/3287624.3287663","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3287624.3287663","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3287624.3287663","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3287624.3287663","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087094576","display_name":"Farhana Sharmin Snigdha","orcid":"https://orcid.org/0000-0003-0657-7778"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Farhana Sharmin Snigdha","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103746138","display_name":"Ibrahim Ahmed","orcid":"https://orcid.org/0009-0003-2113-3910"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ibrahim Ahmed","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004590102","display_name":"Susmita Dey Manasi","orcid":"https://orcid.org/0000-0001-9358-6255"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susmita Dey Manasi","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047869221","display_name":"Meghna G. Mankalale","orcid":"https://orcid.org/0000-0002-6757-9649"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meghna G. Mankalale","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103246390","display_name":"Jiang Hu","orcid":"https://orcid.org/0000-0003-1157-7799"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang Hu","raw_affiliation_strings":["Texas A&amp;M University"],"affiliations":[{"raw_affiliation_string":"Texas A&amp;M University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068714995","display_name":"Sachin S. Sapatnekar","orcid":"https://orcid.org/0000-0002-5353-2364"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sachin S. Sapatnekar","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087094576"],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":0.4841,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64053583,"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":"487","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9987999796867371,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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":0.7746689319610596},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.7711127996444702},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7550931572914124},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.48733481764793396},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4224848747253418},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.38557618856430054},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3479035496711731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21096771955490112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08414295315742493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746689319610596},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7711127996444702},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7550931572914124},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.48733481764793396},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4224848747253418},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.38557618856430054},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3479035496711731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21096771955490112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08414295315742493},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3287624.3287663","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3287624.3287663","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3287624.3287663","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3287624.3287663","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3287624.3287663","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3287624.3287663","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th Asia and South Pacific Design Automation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2595957178","display_name":null,"funder_award_id":"1525749","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2696418594","display_name":null,"funder_award_id":"CCF-1763761","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2806311137","display_name":null,"funder_award_id":"CCF-1525749","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5114066888","display_name":null,"funder_award_id":"CCF-1525925, CCF-1763761, CCF-1525749","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6823041036","display_name":"SHF: Medium: Time Based Deep Neural Networks: An Integrated Hardware-Software Approach","funder_award_id":"1763761","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7980842717","display_name":null,"funder_award_id":"1525925","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2908625909.pdf","grobid_xml":"https://content.openalex.org/works/W2908625909.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1841592590","https://openalex.org/W1998917233","https://openalex.org/W1999085092","https://openalex.org/W2003665833","https://openalex.org/W2048266589","https://openalex.org/W2112796928","https://openalex.org/W2155893237","https://openalex.org/W2286365479","https://openalex.org/W2289252105","https://openalex.org/W2337344472","https://openalex.org/W2533121491","https://openalex.org/W2604319603","https://openalex.org/W2606722458","https://openalex.org/W2953212265","https://openalex.org/W2964299589"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W1975289146","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2811106690","https://openalex.org/W2105887828","https://openalex.org/W4239306820","https://openalex.org/W2087240539","https://openalex.org/W2947043951","https://openalex.org/W2318112981"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,28],"dynamic":[4],"energy":[5,73],"reduction":[6],"approach":[7],"for":[8,11,65],"hardware":[9],"accelerators":[10],"convolutional":[12],"neural":[13],"networks":[14],"(CNN).":[15],"Two":[16],"methods":[17],"are":[18],"used:":[19],"(1)":[20],"an":[21],"adaptive":[22],"data-dependent":[23],"scheme":[24],"to":[25],"selectively":[26],"activate":[27],"subset":[29],"of":[30,51],"all":[31],"neurons,":[32],"by":[33],"narrowing":[34],"down":[35],"the":[36,52,55,66,69],"possible":[37],"activated":[38],"classes":[39],"(2)":[40],"static":[41],"bitwidth":[42],"reduction.":[43],"The":[44],"former":[45],"is":[46,57],"applied":[47],"in":[48,60],"late":[49],"layers":[50],"CNN,":[53],"while":[54],"latter":[56],"more":[58],"effective":[59],"early":[61],"layers.":[62],"Even":[63],"accounting":[64],"implementation":[67],"overheads,":[68],"results":[70],"show":[71],"20%--25%":[72],"savings":[74],"with":[75],"5--10%":[76],"accuracy":[77],"loss.":[78]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-01-25T00:00:00"}
