{"id":"https://openalex.org/W2279437311","doi":"https://doi.org/10.1109/tvlsi.2015.2437283","title":"Adaptive Write and Shift Current Modulation for Process Variation Tolerance in Domain Wall Caches","display_name":"Adaptive Write and Shift Current Modulation for Process Variation Tolerance in Domain Wall Caches","publication_year":2015,"publication_date":"2015-06-17","ids":{"openalex":"https://openalex.org/W2279437311","doi":"https://doi.org/10.1109/tvlsi.2015.2437283","mag":"2279437311"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2015.2437283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2015.2437283","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-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/A5030279311","display_name":"Seyedhamidreza Motaman","orcid":"https://orcid.org/0000-0003-4475-996X"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seyedhamidreza Motaman","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085567454","display_name":"Swaroop Ghosh","orcid":"https://orcid.org/0000-0001-8753-490X"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swaroop Ghosh","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030279311"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":2.458,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90607503,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"24","issue":"3","first_page":"944","last_page":"953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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"}},{"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7459464073181152},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.731968879699707},{"id":"https://openalex.org/keywords/process-variation","display_name":"Process variation","score":0.7096228003501892},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6483598351478577},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6261277198791504},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4707931578159332},{"id":"https://openalex.org/keywords/access-time","display_name":"Access time","score":0.42253488302230835},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.33249473571777344},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32919543981552124},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.25076818466186523},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10487741231918335},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10206285119056702}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7459464073181152},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.731968879699707},{"id":"https://openalex.org/C93389723","wikidata":"https://www.wikidata.org/wiki/Q7247313","display_name":"Process variation","level":3,"score":0.7096228003501892},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6483598351478577},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6261277198791504},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4707931578159332},{"id":"https://openalex.org/C194080101","wikidata":"https://www.wikidata.org/wiki/Q46306","display_name":"Access time","level":2,"score":0.42253488302230835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.33249473571777344},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32919543981552124},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.25076818466186523},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10487741231918335},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10206285119056702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2015.2437283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2015.2437283","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8500000238418579}],"awards":[{"id":"https://openalex.org/G5732347280","display_name":null,"funder_award_id":"2442.001","funder_id":"https://openalex.org/F4320306087","funder_display_name":"Semiconductor Research Corporation"}],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W198303879","https://openalex.org/W1595368737","https://openalex.org/W1963704246","https://openalex.org/W1992775315","https://openalex.org/W2001641336","https://openalex.org/W2005242923","https://openalex.org/W2017860994","https://openalex.org/W2034560955","https://openalex.org/W2078760460","https://openalex.org/W2086878414","https://openalex.org/W2105433081","https://openalex.org/W2106346024","https://openalex.org/W2116826022","https://openalex.org/W2127643145","https://openalex.org/W2136316949","https://openalex.org/W2138137717","https://openalex.org/W2144133653","https://openalex.org/W2165804636","https://openalex.org/W2510112886","https://openalex.org/W4240165677","https://openalex.org/W6608046800"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W4231274751","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W2132842408","https://openalex.org/W2107909712","https://openalex.org/W1563600694"],"abstract_inverted_index":{"Domain":[0],"wall":[1],"memory":[2],"(DWM),":[3],"also":[4],"known":[5],"as":[6,86,88],"racetrack":[7],"memory,":[8],"is":[9],"gaining":[10],"significant":[11],"attention":[12],"for":[13],"embedded":[14],"cache":[15,83],"application":[16],"due":[17,90,159],"to":[18,27,91,106,160],"low":[19],"standby":[20],"power,":[21,54],"excellent":[22],"retention,":[23],"and":[24,42,55,73,98,102,124,149],"the":[25],"ability":[26],"store":[28],"multiple":[29],"bits":[30,111,131],"per":[31],"cell.":[32],"In":[33,58],"addition,":[34,59],"it":[35,45],"offers":[36],"fast":[37],"access":[38],"time,":[39],"good":[40],"endurance,":[41],"retention.":[43],"However,":[44],"suffers":[46],"from":[47],"poor":[48],"write":[49,56,72,100,115,123],"latency,":[50,52],"shift":[51,53,103,125,135],"power.":[57],"we":[60],"observe":[61],"that":[62],"process":[63,92,161],"variation":[64,162],"can":[65,84],"result":[66],"in":[67,71],"a":[68,96,120,139,150,164],"large":[69],"spread":[70],"read":[74,130],"latency":[75,116,158],"variations.":[76,93],"The":[77,110],"performance":[78,152],"of":[79,122,167],"conventionally":[80],"designed":[81],"DWM":[82],"degrade":[85],"much":[87],"13%":[89],"We":[94],"propose":[95],"novel":[97],"adaptive":[99],"current":[101,104],"boosting":[105,146],"address":[107],"this":[108],"issue.":[109],"experiencing":[112],"worst":[113,128,156],"case":[114,129,157],"are":[117,132],"fixed":[118,133],"through":[119],"combination":[121],"boosting,":[126],"whereas":[127],"by":[134],"boosting.":[136],"Simulations":[137],"show":[138],"30%":[140],"dynamic":[141],"energy":[142],"improvement":[143,153],"compared":[144,154],"with":[145,155],"all":[147],"bit-cells":[148],"18%":[151],"over":[163],"wide":[165],"range":[166],"PARSEC":[168],"benchmarks.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
