{"id":"https://openalex.org/W3149204854","doi":"https://doi.org/10.1109/nanoarch.2010.5510929","title":"Design and comparison of NML systolic architectures","display_name":"Design and comparison of NML systolic architectures","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W3149204854","doi":"https://doi.org/10.1109/nanoarch.2010.5510929","mag":"3149204854"},"language":"en","primary_location":{"id":"doi:10.1109/nanoarch.2010.5510929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nanoarch.2010.5510929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/ACM International Symposium on Nanoscale Architectures","raw_type":"proceedings-article"},"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/A5029716379","display_name":"Michael Crocker","orcid":null},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Crocker","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600905","display_name":"Xiaobo Sharon Hu","orcid":"https://orcid.org/0000-0002-6636-9738"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"X. Sharon Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003032564","display_name":"Michael Niemier","orcid":"https://orcid.org/0000-0001-7776-4306"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Niemier","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"311","issue":null,"first_page":"29","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9998000264167786,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9998000264167786,"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/T10472","display_name":"Semiconductor materials and devices","score":0.9994999766349792,"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":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.9237197041511536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7254042029380798},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5666577219963074},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.505148708820343},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.48786187171936035},{"id":"https://openalex.org/keywords/systolic-array","display_name":"Systolic array","score":0.46235570311546326},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.4620228707790375},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4341742694377899},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.43250271677970886},{"id":"https://openalex.org/keywords/nanomagnet","display_name":"Nanomagnet","score":0.4187981188297272},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.38923749327659607},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.35612207651138306},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3495553135871887},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.33273375034332275},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.23196929693222046},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1144402027130127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.094614177942276},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07368072867393494}],"concepts":[{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.9237197041511536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7254042029380798},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5666577219963074},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.505148708820343},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.48786187171936035},{"id":"https://openalex.org/C150741067","wikidata":"https://www.wikidata.org/wiki/Q2377218","display_name":"Systolic array","level":3,"score":0.46235570311546326},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.4620228707790375},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4341742694377899},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43250271677970886},{"id":"https://openalex.org/C131872197","wikidata":"https://www.wikidata.org/wiki/Q3870157","display_name":"Nanomagnet","level":4,"score":0.4187981188297272},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.38923749327659607},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.35612207651138306},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3495553135871887},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.33273375034332275},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.23196929693222046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1144402027130127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.094614177942276},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07368072867393494},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C32546565","wikidata":"https://www.wikidata.org/wiki/Q856711","display_name":"Magnetization","level":3,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nanoarch.2010.5510929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nanoarch.2010.5510929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE/ACM International Symposium on Nanoscale Architectures","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8299999833106995,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1555624222","https://openalex.org/W1966497879","https://openalex.org/W1983449030","https://openalex.org/W2007680899","https://openalex.org/W2017369466","https://openalex.org/W2022891092","https://openalex.org/W2027935887","https://openalex.org/W2036700732","https://openalex.org/W2105397165","https://openalex.org/W2114317540","https://openalex.org/W2144850369","https://openalex.org/W2169757251","https://openalex.org/W2170998169","https://openalex.org/W2755361604","https://openalex.org/W2954392221","https://openalex.org/W3098932247","https://openalex.org/W6744489870"],"related_works":["https://openalex.org/W2320531805","https://openalex.org/W4200627911","https://openalex.org/W2807127337","https://openalex.org/W2038682752","https://openalex.org/W2592499194","https://openalex.org/W2142131433","https://openalex.org/W2739720767","https://openalex.org/W2105613219","https://openalex.org/W4391183532","https://openalex.org/W2026533826"],"abstract_inverted_index":{"Nanomagnet":[0],"Logic":[1],"(NML)":[2],"is":[3,40,102,114],"a":[4,37,62,105,117],"device":[5],"architecture":[6],"that":[7,59],"utilizes":[8],"the":[9,29,73,92,126,141,147],"magnetization":[10],"of":[11,64,94,133,146,151],"nano-scale":[12],"magnets":[13],"to":[14],"perform":[15],"logical":[16],"operations.":[17],"NML":[18,46,70,96,128,142],"has":[19],"been":[20],"experimentally":[21],"demonstrated":[22],"and":[23,82,109,112,121,136,143,153],"operates":[24],"at":[25],"room":[26],"temperature.":[27],"Because":[28],"nanomagnets":[30],"are":[31,156],"non-volatile,":[32],"as":[33],"data":[34],"flows":[35],"through":[36],"circuit,":[38],"it":[39],"inherently":[41],"pipelined.":[42],"This":[43],"feature":[44],"makes":[45],"an":[47],"excellent":[48],"fit":[49],"for":[50,98],"systolic":[51,71,75,129],"architectures,":[52],"which":[53],"could":[54],"enable":[55],"low-power,":[56],"high-throughput":[57],"systems":[58],"can":[60],"address":[61],"variety":[63],"application-level":[65],"tasks.":[66],"When":[67],"considering":[68],"possible":[69],"systems,":[72],"underlying":[74],"clocking":[76,107,119],"scheme":[77,108,120],"affects":[78],"both":[79],"architectural":[80],"design":[81,101,148],"performance.":[83],"In":[84],"this":[85],"paper":[86],"we":[87],"explore":[88],"these":[89],"issues":[90],"in":[91,131,149],"context":[93],"two":[95,127],"designs":[97,130],"convolution.":[99],"One":[100],"based":[103,115],"on":[104,116],"3-phase":[106],"uni-directional":[110],"dataflow,":[111],"another":[113],"2-phase":[118],"bi-directional":[122],"dataflow.":[123],"We":[124,138],"compare":[125,140],"terms":[132,150],"area,":[134],"delay,":[135],"energy.":[137],"also":[139],"CMOS":[144],"implementations":[145],"energy":[152],"delay.":[154],"Results":[155],"supported":[157],"by":[158],"physical":[159],"level":[160],"simulation.":[161]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
