{"id":"https://openalex.org/W4310581271","doi":"https://doi.org/10.1109/icta56932.2022.9963050","title":"An Efficient FPGA Design for Fixed-point Exponential Calculation","display_name":"An Efficient FPGA Design for Fixed-point Exponential Calculation","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4310581271","doi":"https://doi.org/10.1109/icta56932.2022.9963050"},"language":"en","primary_location":{"id":"doi:10.1109/icta56932.2022.9963050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta56932.2022.9963050","pdf_url":null,"source":{"id":"https://openalex.org/S4363608577","display_name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","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":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","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/A5100718235","display_name":"Weiyi Zhang","orcid":"https://orcid.org/0000-0003-1296-3579"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiyi Zhang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074033048","display_name":"Chun Zhang","orcid":"https://orcid.org/0000-0001-9791-4500"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Zhang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077841990","display_name":"Liting Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liting Niu","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108117257","display_name":"Fasih Ud Din","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fasih Ud Din","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024691380","display_name":"Fasih Ud Din Farrukh","orcid":"https://orcid.org/0000-0002-0178-8130"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Farrukh","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063888012","display_name":"Hanjun Jiang","orcid":"https://orcid.org/0000-0003-4911-0748"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanjun Jiang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100718235"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.0361,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74174917,"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":"44","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9775000214576721,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.791004478931427},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.7680593729019165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7008579969406128},{"id":"https://openalex.org/keywords/fixed-point-arithmetic","display_name":"Fixed-point arithmetic","score":0.6640260219573975},{"id":"https://openalex.org/keywords/fixed-point","display_name":"Fixed point","score":0.6395925283432007},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6251024603843689},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4905213713645935},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4389280080795288},{"id":"https://openalex.org/keywords/exponential-growth","display_name":"Exponential growth","score":0.4344038963317871},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43064019083976746},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.3560420274734497},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34033530950546265},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3336881399154663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2348325550556183},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.21357318758964539},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17677247524261475}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.791004478931427},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.7680593729019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008579969406128},{"id":"https://openalex.org/C163973906","wikidata":"https://www.wikidata.org/wiki/Q649900","display_name":"Fixed-point arithmetic","level":3,"score":0.6640260219573975},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.6395925283432007},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6251024603843689},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4905213713645935},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4389280080795288},{"id":"https://openalex.org/C75235859","wikidata":"https://www.wikidata.org/wiki/Q582659","display_name":"Exponential growth","level":2,"score":0.4344038963317871},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43064019083976746},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.3560420274734497},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34033530950546265},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3336881399154663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2348325550556183},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.21357318758964539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17677247524261475},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icta56932.2022.9963050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta56932.2022.9963050","pdf_url":null,"source":{"id":"https://openalex.org/S4363608577","display_name":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","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":"2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G7454886137","display_name":null,"funder_award_id":"U20A20220","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2067313465","https://openalex.org/W2935524202","https://openalex.org/W3010314017","https://openalex.org/W4205094290"],"related_works":["https://openalex.org/W3028347934","https://openalex.org/W2028547611","https://openalex.org/W2185692674","https://openalex.org/W1825316220","https://openalex.org/W2724204407","https://openalex.org/W2029050987","https://openalex.org/W3206224488","https://openalex.org/W2288960809","https://openalex.org/W2062935593","https://openalex.org/W1935080020"],"abstract_inverted_index":{"Exponential":[0],"calculation":[1,36],"is":[2,19,41,63],"widely":[3],"used":[4],"in":[5],"different":[6,77],"algorithms,":[7],"such":[8],"as":[9],"the":[10,45,60],"activation":[11],"functions":[12],"of":[13,47],"artificial":[14],"neural":[15],"networks.":[16],"However,":[17],"it":[18],"hard":[20],"to":[21],"implement":[22],"on":[23,44],"FPGA,":[24],"consuming":[25],"much":[26],"time":[27],"and":[28,72],"resources.":[29],"In":[30],"this":[31],"work,":[32],"a":[33],"novel":[34],"exponential":[35,52],"module":[37],"for":[38,76],"fixed-point":[39],"number":[40],"proposed":[42,51],"based":[43],"theory":[46],"Fast":[48],"InvSqrt.":[49],"The":[50,70],"unit":[53],"achieves":[54],"at":[55],"most":[56],"3.7x":[57],"throughput":[58],"while":[59],"resource":[61],"utilization":[62],"largely":[64],"reduced":[65],"compared":[66],"with":[67],"previous":[68],"works.":[69],"efficiency":[71],"accuracy":[73],"are":[74],"suitable":[75],"applications.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
