{"id":"https://openalex.org/W3125070457","doi":"https://doi.org/10.1109/globecom42002.2020.9322629","title":"Bivariate Hermitian Polynomial Coding for Efficient Distributed Matrix Multiplication","display_name":"Bivariate Hermitian Polynomial Coding for Efficient Distributed Matrix Multiplication","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3125070457","doi":"https://doi.org/10.1109/globecom42002.2020.9322629","mag":"3125070457"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9322629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11380/1247342","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050333110","display_name":"Burak Has\u0131rc\u0131oglu","orcid":"https://orcid.org/0000-0001-5005-2894"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Burak Hasircioglu","raw_affiliation_strings":["Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038872773","display_name":"Jes\u00fas G\u00f3mez-Vilardeb\u00f3","orcid":"https://orcid.org/0000-0002-3162-8058"},"institutions":[{"id":"https://openalex.org/I4210087295","display_name":"Centre Tecnologic de Telecomunicacions de Catalunya","ror":"https://ror.org/001cwea56","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I4210087295","https://openalex.org/I4387153040"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jesus Gomez-Vilardebo","raw_affiliation_strings":["Centre Tecn\u00f2logic de Telecomunicacions de Catalunya (CTTC/CERCA), Barcelona, Spain"],"affiliations":[{"raw_affiliation_string":"Centre Tecn\u00f2logic de Telecomunicacions de Catalunya (CTTC/CERCA), Barcelona, Spain","institution_ids":["https://openalex.org/I4210087295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016883501","display_name":"Den\u0131z G\u00fcnd\u00fcz","orcid":"https://orcid.org/0000-0002-7725-395X"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Deniz Gunduz","raw_affiliation_strings":["Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050333110"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":1.9201,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89134405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9969000220298767,"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/bivariate-analysis","display_name":"Bivariate analysis","score":0.6921026706695557},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.6825503706932068},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6756454706192017},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6611372828483582},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6310378313064575},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.5678584575653076},{"id":"https://openalex.org/keywords/polynomial-matrix","display_name":"Polynomial matrix","score":0.5045737028121948},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4573596715927124},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.44870415329933167},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4291658103466034},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.39870065450668335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3646935820579529},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34283727407455444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25081759691238403},{"id":"https://openalex.org/keywords/matrix-polynomial","display_name":"Matrix polynomial","score":0.19401174783706665},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11578369140625},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.06959986686706543},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06414979696273804}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6921026706695557},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.6825503706932068},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6756454706192017},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6611372828483582},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6310378313064575},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.5678584575653076},{"id":"https://openalex.org/C126352355","wikidata":"https://www.wikidata.org/wiki/Q2562273","display_name":"Polynomial matrix","level":4,"score":0.5045737028121948},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4573596715927124},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.44870415329933167},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4291658103466034},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.39870065450668335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3646935820579529},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34283727407455444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25081759691238403},{"id":"https://openalex.org/C101044782","wikidata":"https://www.wikidata.org/wiki/Q6787887","display_name":"Matrix polynomial","level":3,"score":0.19401174783706665},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11578369140625},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.06959986686706543},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06414979696273804},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom42002.2020.9322629","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322629","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unimore.it:11380/1247342","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1247342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unimore.it:11380/1247342","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1247342","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G3364505722","display_name":null,"funder_award_id":"EP/S028854/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7846425480","display_name":null,"funder_award_id":"677854","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W306248719","https://openalex.org/W2268702383","https://openalex.org/W2745045892","https://openalex.org/W2896633576","https://openalex.org/W2962813697","https://openalex.org/W2963062115","https://openalex.org/W2963117124","https://openalex.org/W2964229375","https://openalex.org/W3002931341","https://openalex.org/W3015418122","https://openalex.org/W3080363640","https://openalex.org/W3100515187","https://openalex.org/W3103761313","https://openalex.org/W4249253882","https://openalex.org/W6773469843"],"related_works":["https://openalex.org/W4394590985","https://openalex.org/W2348840575","https://openalex.org/W2030498341","https://openalex.org/W3122841410","https://openalex.org/W2046205453","https://openalex.org/W2770017172","https://openalex.org/W89977309","https://openalex.org/W2183901182","https://openalex.org/W2030930882","https://openalex.org/W4300013323"],"abstract_inverted_index":{"Coded":[0,44],"distributed":[1,12,87],"computing":[2,13,24,45],"is":[3],"an":[4],"effective":[5,62],"framework":[6],"to":[7,30],"improve":[8],"the":[9,27,75,79,83],"speed":[10],"of":[11,86],"systems":[14],"by":[15,34,40,78],"mitigating":[16],"stragglers":[17],"(temporarily":[18],"slow":[19],"workers).":[20],"In":[21],"essence,":[22],"coded":[23],"allows":[25],"replacing":[26],"computation":[28,66],"assigned":[29],"a":[31,37],"straggling":[32,80],"worker":[33,39],"that":[35],"at":[36],"faster":[38],"assigning":[41],"redundant":[42],"computations.":[43],"techniques":[46],"proposed":[47],"so":[48],"far":[49],"are":[50,59,70],"mostly":[51],"based":[52],"on":[53],"univariate":[54],"polynomial":[55,94],"coding.":[56],"These":[57],"codes":[58],"not":[60],"very":[61],"if":[63],"storage":[64],"and":[65,72],"capacity":[67],"across":[68],"workers":[69],"heterogeneous":[71],"lose":[73],"completely":[74],"work":[76],"done":[77],"workers.":[81],"For":[82],"particular":[84],"problem":[85],"matrix-matrix":[88],"multiplication,":[89],"we":[90],"show":[91],"how":[92],"bivariate":[93],"coding":[95],"addresses":[96],"these":[97],"two":[98],"issues.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2021-02-01T00:00:00"}