{"id":"https://openalex.org/W1977721562","doi":"https://doi.org/10.1145/2744769.2744897","title":"<i>RADAR</i>","display_name":"<i>RADAR</i>","publication_year":2015,"publication_date":"2015-06-02","ids":{"openalex":"https://openalex.org/W1977721562","doi":"https://doi.org/10.1145/2744769.2744897","mag":"1977721562"},"language":"en","primary_location":{"id":"doi:10.1145/2744769.2744897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2744897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual 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/A5100346965","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0001-5172-4736"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016864694","display_name":"Yinhe Han","orcid":"https://orcid.org/0000-0003-0904-6681"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhe Han","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678482","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0003-2230-9386"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768288","display_name":"Huawei Li","orcid":"https://orcid.org/0000-0001-8082-4218"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Li","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023380073","display_name":"Xiaowei Li","orcid":"https://orcid.org/0000-0002-0874-814X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Li","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100346965"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":1.6433,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83325669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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/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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7853706479072571},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.7553960084915161},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5997427105903625},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5299994349479675},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5116451382637024},{"id":"https://openalex.org/keywords/control-reconfiguration","display_name":"Control reconfiguration","score":0.507197380065918},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.48913151025772095},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.4776238799095154},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4354853332042694},{"id":"https://openalex.org/keywords/memory-controller","display_name":"Memory controller","score":0.4178123474121094},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3998423218727112},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.34397244453430176},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15869364142417908},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15723654627799988},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11114129424095154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853706479072571},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.7553960084915161},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5997427105903625},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5299994349479675},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5116451382637024},{"id":"https://openalex.org/C119701452","wikidata":"https://www.wikidata.org/wiki/Q5165881","display_name":"Control reconfiguration","level":2,"score":0.507197380065918},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.48913151025772095},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.4776238799095154},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4354853332042694},{"id":"https://openalex.org/C100800780","wikidata":"https://www.wikidata.org/wiki/Q1175867","display_name":"Memory controller","level":3,"score":0.4178123474121094},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3998423218727112},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.34397244453430176},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15869364142417908},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15723654627799988},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11114129424095154},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2744769.2744897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2744769.2744897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual Design Automation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G1051257415","display_name":null,"funder_award_id":"61432017","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":15,"referenced_works":["https://openalex.org/W148021875","https://openalex.org/W1768994003","https://openalex.org/W1978703202","https://openalex.org/W2040767245","https://openalex.org/W2050900502","https://openalex.org/W2114260887","https://openalex.org/W2119092821","https://openalex.org/W2119435553","https://openalex.org/W2124608923","https://openalex.org/W2127478143","https://openalex.org/W2134727012","https://openalex.org/W2143823686","https://openalex.org/W2150283124","https://openalex.org/W2163593926","https://openalex.org/W2171148960"],"related_works":["https://openalex.org/W1976244802","https://openalex.org/W4320351610","https://openalex.org/W2122646225","https://openalex.org/W4293430534","https://openalex.org/W3015923041","https://openalex.org/W3140615508","https://openalex.org/W2335743642","https://openalex.org/W4297812927","https://openalex.org/W2029945810","https://openalex.org/W2800412005"],"abstract_inverted_index":{"Refresh":[0,17],"operations":[1,26],"consume":[2],"substantial":[3],"energy":[4],"and":[5,77,104,121],"bandwidth":[6],"in":[7,79,118,132],"high-density":[8],"DRAM":[9,35,44],"memory.":[10],"To":[11],"cope":[12],"with":[13],"this":[14,89,140],"issue,":[15],"Fine-Grained":[16],"(FGR)":[18],"is":[19,56],"recently":[20],"proposed":[21],"to":[22,42,74,94,124],"eliminate":[23,146],"unnecessary":[24],"refresh":[25,45,148],"caused":[27],"by":[28,59,154],"minor":[29],"weak":[30],"cells.":[31],"Even":[32],"JEDEC's":[33],"DDR4":[34],"specification":[36],"announces":[37],"the":[38,52,60,84,97,111,147],"support":[39],"of":[40,54,62,86,129,150],"FGR":[41,55],"make":[43],"more":[46],"scalable.":[47],"Unfortunately,":[48],"we":[49,91,109,144],"observe":[50],"that":[51],"effectiveness":[53],"greatly":[57],"confined":[58],"procedure":[61],"refresh-oblivious":[63],"device":[64],"integration":[65],"because":[66],"all":[67],"memory":[68,119,133,152],"devices":[69,99],"within":[70],"a":[71,80,101,126],"module":[72],"have":[73],"be":[75],"controlled":[76],"refreshed":[78],"lockstep":[81],"way":[82],"after":[83],"step":[85],"assembly.":[87],"In":[88],"work,":[90],"firstly":[92],"propose":[93,122],"intelligently":[95],"integrate":[96],"\"compatible\"":[98],"through":[100,135],"pre-assembly":[102],"testing":[103],"retention-aware":[105],"matching":[106],"method.":[107],"Second,":[108],"reuse":[110],"reconfiguration":[112],"structure":[113],"from":[114],"yield-oriented":[115],"remapping":[116],"mechanism":[117],"chips":[120],"Microfix":[123],"create":[125],"balanced":[127],"distribution":[128],"retention":[130],"time":[131],"banks":[134],"fine-grained":[136],"row-address":[137],"tuning.":[138],"With":[139],"optimization":[141],"architecture,":[142],"RADAR,":[143],"can":[145],"overhead":[149],"produced":[151],"modules":[153],"28%":[155],"on":[156],"average.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
