{"id":"https://openalex.org/W2660253127","doi":"https://doi.org/10.1109/itw.2017.8277940","title":"High performance non-binary spatially-coupled codes for flash memories","display_name":"High performance non-binary spatially-coupled codes for flash memories","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2660253127","doi":"https://doi.org/10.1109/itw.2017.8277940","mag":"2660253127"},"language":"en","primary_location":{"id":"doi:10.1109/itw.2017.8277940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2017.8277940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1706.07531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ahmed Hareedy","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmed Hareedy","raw_affiliation_strings":["Electrical Eng. Department, University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Eng. Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Homa Esfahanizadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Homa Esfahanizadeh","raw_affiliation_strings":["Electrical Eng. Department, University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Eng. Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lara Dolecek","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lara Dolecek","raw_affiliation_strings":["Electrical Eng. Department, University of California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Eng. Department, University of California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":2.1895,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89308846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","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/T11321","display_name":"Error Correcting Code Techniques","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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9987999796867371,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/flash-memory","display_name":"Flash memory","score":0.42809998989105225},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4077000021934509},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.40369999408721924},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.367900013923645},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.3481999933719635},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.34380000829696655},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.34139999747276306},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3384999930858612},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.3264999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009000182151794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4571000039577484},{"id":"https://openalex.org/C2776531357","wikidata":"https://www.wikidata.org/wiki/Q174077","display_name":"Flash memory","level":2,"score":0.42809998989105225},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4077000021934509},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.40369999408721924},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3865000009536743},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37139999866485596},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.29089999198913574},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.28999999165534973},{"id":"https://openalex.org/C67692717","wikidata":"https://www.wikidata.org/wiki/Q187444","display_name":"Low-density parity-check code","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C102379954","wikidata":"https://www.wikidata.org/wiki/Q2589940","display_name":"Call graph","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/itw.2017.8277940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw.2017.8277940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1706.07531","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.07531","pdf_url":"https://arxiv.org/pdf/1706.07531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:https://open.metu.edu.tr:11511/98519","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/98519","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 IEEE Information Theory Workshop, ITW 2017","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1706.07531","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1706.07531","pdf_url":"https://arxiv.org/pdf/1706.07531","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1972036717","https://openalex.org/W1991528082","https://openalex.org/W2047997537","https://openalex.org/W2150368154","https://openalex.org/W2150714271","https://openalex.org/W2179644698","https://openalex.org/W2511387816","https://openalex.org/W2519093122","https://openalex.org/W2660253127","https://openalex.org/W2744736268","https://openalex.org/W6661671530"],"related_works":[],"abstract_inverted_index":{"Modern":[0],"dense":[1],"Flash":[2,89,230],"memory":[3],"devices":[4],"operate":[5,205],"at":[6,93],"very":[7],"low":[8],"error":[9,14],"rates,":[10],"which":[11,129],"require":[12],"powerful":[13],"correcting":[15],"coding":[16],"(ECC)":[17],"techniques.":[18],"An":[19],"emerging":[20],"class":[21,32],"of":[22,33,79,97,102,109,134,147,166,190,210],"graph-based":[23],"ECC":[24],"techniques":[25],"that":[26,45,193,216],"has":[27],"broad":[28],"applications":[29],"is":[30,41,59],"the":[31,64,77,95,107,110,115,125,132,135,144,151,164,170,175,191,196,200,207,211],"spatially-coupled":[34],"(SC)":[35],"codes,":[36],"where":[37],"a":[38,73,120,156],"block":[39],"code":[40,137,198],"partitioned":[42],"into":[43],"components":[44],"are":[46],"then":[47],"rewired":[48],"multiple":[49],"times":[50],"to":[51,138,143,161,180,184],"construct":[52],"an":[53],"SC":[54,61,83,136],"code.":[55,113],"Here,":[56],"our":[57,221],"focus":[58],"on":[60,131,206],"codes":[62,85,218,226],"with":[63],"underlying":[65],"circulant-based":[66],"structure.":[67],"In":[68,114,150,169],"this":[69],"paper,":[70],"we":[71,91,118,154,173],"present":[72],"three-stage":[74],"approach":[75,222],"for":[76,87],"design":[78],"high":[80],"performance":[81],"non-binary":[82],"(NB-SC)":[84],"optimized":[86],"practical":[88],"channels;":[90],"aim":[92],"minimizing":[94],"number":[96,146,165],"detrimental":[98,148,167],"general":[99],"absorbing":[100],"sets":[101],"type":[103],"two":[104,202],"(GASTs)":[105],"in":[106,195],"graph":[108,209],"designed":[111,219],"NB-SC":[112,197,217,225],"first":[116,201],"stage,":[117,153,172],"deploy":[119],"novel":[121],"partitioning":[122,141],"mechanism,":[123],"called":[124],"optimal":[126,140],"overlap":[127],"partitioning,":[128],"acts":[130],"protograph":[133],"produce":[139],"corresponding":[142],"smallest":[145],"objects.":[149],"second":[152],"apply":[155],"new":[157],"circulant":[158],"power":[159],"optimizer":[160],"further":[162],"reduce":[163],"GASTs.":[168],"third":[171],"use":[174],"weight":[176],"consistency":[177],"matrix":[178],"framework":[179],"manipulate":[181],"edge":[182],"weights":[183],"eliminate":[185],"as":[186,188],"many":[187],"possible":[189],"GASTs":[192],"remain":[194],"after":[199],"stages":[203],"(that":[204],"unlabeled":[208],"code).":[212],"Simulation":[213],"results":[214],"reveal":[215],"using":[220],"outperform":[223],"state-of-the-art":[224],"when":[227],"used":[228],"over":[229],"channels.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2017-06-30T00:00:00"}
