{"id":"https://openalex.org/W2579648009","doi":"https://doi.org/10.1109/samos.2016.7818343","title":"A configurable SIMD architecture with explicit datapath for intelligent learning","display_name":"A configurable SIMD architecture with explicit datapath for intelligent learning","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2579648009","doi":"https://doi.org/10.1109/samos.2016.7818343","mag":"2579648009"},"language":"en","primary_location":{"id":"doi:10.1109/samos.2016.7818343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","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/A5101585745","display_name":"Yifan He","orcid":"https://orcid.org/0000-0002-9171-3502"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifan He","raw_affiliation_strings":["Xiamen University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University of Technology, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025914065","display_name":"Maurice Peemen","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maurice Peemen","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069322635","display_name":"Luc Waeijen","orcid":"https://orcid.org/0000-0003-3491-0777"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Luc Waeijen","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004196694","display_name":"Erkan Diken","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Erkan Diken","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058487694","display_name":"Mattia Fiumara","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mattia Fiumara","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027621751","display_name":"Gerard Rauwerda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090032","display_name":"Recore Systems (Netherlands)","ror":"https://ror.org/008am1c32","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210090032"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gerard Rauwerda","raw_affiliation_strings":["Recore Systems B.V"],"affiliations":[{"raw_affiliation_string":"Recore Systems B.V","institution_ids":["https://openalex.org/I4210090032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081768631","display_name":"Henk Corporaal","orcid":"https://orcid.org/0000-0003-4506-5732"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Henk Corporaal","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078443672","display_name":"Tong Geng","orcid":"https://orcid.org/0000-0002-3644-2922"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tong Geng","raw_affiliation_strings":["Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101585745"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.64,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.70671764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":null,"first_page":"156","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9961000084877014,"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":0.9957000017166138,"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/simd","display_name":"SIMD","score":0.8891632556915283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8806934356689453},{"id":"https://openalex.org/keywords/datapath","display_name":"Datapath","score":0.8553023338317871},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6443114280700684},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5378332138061523},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.5297953486442566},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4471806585788727},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4410150945186615},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4379951059818268},{"id":"https://openalex.org/keywords/microarchitecture","display_name":"Microarchitecture","score":0.4362085163593292},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3570881485939026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20412677526474}],"concepts":[{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.8891632556915283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8806934356689453},{"id":"https://openalex.org/C2781198647","wikidata":"https://www.wikidata.org/wiki/Q1633673","display_name":"Datapath","level":2,"score":0.8553023338317871},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6443114280700684},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5378332138061523},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.5297953486442566},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4471806585788727},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4410150945186615},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4379951059818268},{"id":"https://openalex.org/C107598950","wikidata":"https://www.wikidata.org/wiki/Q259864","display_name":"Microarchitecture","level":2,"score":0.4362085163593292},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3570881485939026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20412677526474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/samos.2016.7818343","is_oa":false,"landing_page_url":"https://doi.org/10.1109/samos.2016.7818343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/e06061aa-9ddd-473e-9865-974f9f45f709","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/e06061aa-9ddd-473e-9865-974f9f45f709","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"He, Y, Peemen, M C J, Waeijen, L J W, Diken, E, Fiumara, M, Rauwerda, G, Corporaal, H & Geng, T 2017, A configurable SIMD architecture with explicit datapath for intelligent learning. in Proceedings - 2016 16th International Conference on Embedded Computer Systems : Architectures, Modeling and Simulation, SAMOS 2016., 7818343, Institute of Electrical and Electronics Engineers, pp. 156-163, 16th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS 2016), 18-21 July 2016, Samos, Greece, Samos, Greece, 18/07/16. https://doi.org/10.1109/SAMOS.2016.7818343","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:867713","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=867713","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:880466","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=880466","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:library.tue.nl:867713","is_oa":false,"landing_page_url":"http://repository.tue.nl/867713","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:library.tue.nl:880466","is_oa":false,"landing_page_url":"http://repository.tue.nl/880466","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:tue:oai:pure.tue.nl:publications/e06061aa-9ddd-473e-9865-974f9f45f709","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/e06061aa-9ddd-473e-9865-974f9f45f709","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings - 2016 16th International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2016, 156 - 163","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325600","display_name":"ITEA3","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1571236081","https://openalex.org/W1600567712","https://openalex.org/W1900720577","https://openalex.org/W1973359136","https://openalex.org/W1976592280","https://openalex.org/W1978692160","https://openalex.org/W1982008951","https://openalex.org/W1984854771","https://openalex.org/W1998441272","https://openalex.org/W2013498927","https://openalex.org/W2014406284","https://openalex.org/W2016411588","https://openalex.org/W2097310427","https://openalex.org/W2103927123","https://openalex.org/W2111854880","https://openalex.org/W2112796928","https://openalex.org/W2114332109","https://openalex.org/W2114595399","https://openalex.org/W2114941277","https://openalex.org/W2119724710","https://openalex.org/W2120284346","https://openalex.org/W2125796904","https://openalex.org/W2155649074","https://openalex.org/W2156139954","https://openalex.org/W2159302387","https://openalex.org/W2165575198","https://openalex.org/W2167876495","https://openalex.org/W2171843744","https://openalex.org/W2186757926","https://openalex.org/W2546302380","https://openalex.org/W6634373331","https://openalex.org/W6636037873","https://openalex.org/W6639818867","https://openalex.org/W6644941742"],"related_works":["https://openalex.org/W2155649074","https://openalex.org/W2144463068","https://openalex.org/W2185915791","https://openalex.org/W2162921448","https://openalex.org/W2129565950","https://openalex.org/W1580556151","https://openalex.org/W2019451907","https://openalex.org/W1980898636","https://openalex.org/W2045325972","https://openalex.org/W2141090099"],"abstract_inverted_index":{"The":[0,43],"use":[1],"of":[2,40,51,109,135],"a":[3,9,33,63,76,90,97,122],"wide":[4],"Single-Instruction-Multiple-Data":[5],"(SIMD)":[6],"architecture":[7,118],"is":[8,62,79,102,119],"promising":[10],"approach":[11],"to":[12,69,139],"build":[13],"energy-efficient":[14],"high":[15,73],"performance":[16,134],"embedded":[17],"processors.":[18],"In":[19,94,121],"this":[20,95],"paper,":[21],"based":[22,66],"on":[23,89],"our":[24],"design":[25,149],"framework":[26],"for":[27],"low-power":[28],"SIMD":[29,110,127,143],"processors,":[30],"we":[31],"propose":[32],"multiply-accumulate":[34],"(MAC)":[35],"unit":[36,46],"with":[37,129],"variable":[38],"number":[39],"accumulator":[41],"registers.":[42],"proposed":[44,117,126,148],"MAC":[45],"exploits":[47],"both":[48],"the":[49,107,116,125,140,147],"merits":[50],"merged":[52],"operation":[53],"and":[54,72,104,152,158,160],"register":[55],"tiling.":[56],"A":[57],"Convolutional":[58],"Neural":[59],"Network":[60],"(CNN)":[61],"popular":[64],"learning":[65,100],"algorithm":[67],"due":[68],"its":[70],"flexibility":[71],"accuracy.":[74],"However,":[75],"CNN-based":[77,98],"application":[78,101],"often":[80],"computationally":[81],"intensive":[82],"as":[83],"it":[84],"applies":[85],"convolution":[86],"operations":[87],"extensively":[88],"large":[91],"data":[92],"set.":[93],"work,":[96],"intelligent":[99],"analyzed":[103],"mapped":[105],"in":[106,155,163],"context":[108],"architectures.":[111],"Experimental":[112],"results":[113],"show":[114],"that":[115],"efficient.":[120],"64-PE":[123],"instance,":[124],"processor":[128],"MAC4reg":[130],"achieves":[131],"an":[132],"effective":[133],"63.2":[136],"GOPS.":[137],"Compared":[138],"two":[141],"baseline":[142],"processors":[144],"without":[145],"MAC4reg,":[146],"brings":[150],"54.0%":[151],"32.1%":[153],"reduction":[154,162],"execution":[156],"time,":[157],"20.5%":[159],"35.1%":[161],"energy":[164],"consumption":[165],"respectively.":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
