{"id":"https://openalex.org/W2420293330","doi":"https://doi.org/10.1109/icde.2016.7498293","title":"Topology-aware optimization of big sparse matrices and matrix multiplications on main-memory systems","display_name":"Topology-aware optimization of big sparse matrices and matrix multiplications on main-memory systems","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2420293330","doi":"https://doi.org/10.1109/icde.2016.7498293","mag":"2420293330"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2016.7498293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://tud.qucosa.de/id/qucosa%3A82117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005815092","display_name":"David Kernert","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"David Kernert","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063512642","display_name":"Wolfgang Lehner","orcid":"https://orcid.org/0000-0001-8107-2775"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"TU Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Lehner","raw_affiliation_strings":["Technische Universit\u00e4t Dresden, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013741646","display_name":"Frank K\u00f6hler","orcid":"https://orcid.org/0000-0001-7150-6509"},"institutions":[{"id":"https://openalex.org/I4210132444","display_name":"Systems, Applications & Products in Data Processing (Germany)","ror":"https://ror.org/03dsc8d33","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210132444"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Frank Kohler","raw_affiliation_strings":["SAP SE, Walldorf, Germany"],"affiliations":[{"raw_affiliation_string":"SAP SE, Walldorf, Germany","institution_ids":["https://openalex.org/I4210132444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005815092"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.6772,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76796596,"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":"823","last_page":"834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7283005714416504},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.6505813002586365},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.6465898752212524},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6233954429626465},{"id":"https://openalex.org/keywords/linear-algebra","display_name":"Linear algebra","score":0.5673086047172546},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5670579075813293},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5419020056724548},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.5361523628234863},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4714525640010834},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.46381255984306335},{"id":"https://openalex.org/keywords/matrix-representation","display_name":"Matrix representation","score":0.43333899974823},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.4282014071941376},{"id":"https://openalex.org/keywords/matrix-completion","display_name":"Matrix completion","score":0.4183938205242157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33946743607521057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28952449560165405},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19577598571777344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1560523808002472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1513676941394806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7283005714416504},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6505813002586365},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.6465898752212524},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6233954429626465},{"id":"https://openalex.org/C139352143","wikidata":"https://www.wikidata.org/wiki/Q82571","display_name":"Linear algebra","level":2,"score":0.5673086047172546},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5670579075813293},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5419020056724548},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.5361523628234863},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4714525640010834},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.46381255984306335},{"id":"https://openalex.org/C103275481","wikidata":"https://www.wikidata.org/wiki/Q6787889","display_name":"Matrix representation","level":3,"score":0.43333899974823},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.4282014071941376},{"id":"https://openalex.org/C2778459887","wikidata":"https://www.wikidata.org/wiki/Q6787865","display_name":"Matrix completion","level":3,"score":0.4183938205242157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33946743607521057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28952449560165405},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19577598571777344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1560523808002472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1513676941394806},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icde.2016.7498293","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2016.7498293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 32nd International Conference on Data Engineering (ICDE)","raw_type":"proceedings-article"},{"id":"pmh:oai:qucosa:de:qucosa:82117","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A82117","pdf_url":null,"source":{"id":"https://openalex.org/S4377196312","display_name":"Qucosa (Saxon State and University Library Dresden)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3132420320","host_organization_name":"SLUB Dresden","host_organization_lineage":["https://openalex.org/I3132420320"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:Text"}],"best_oa_location":{"id":"pmh:oai:qucosa:de:qucosa:82117","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A82117","pdf_url":null,"source":{"id":"https://openalex.org/S4377196312","display_name":"Qucosa (Saxon State and University Library Dresden)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3132420320","host_organization_name":"SLUB Dresden","host_organization_lineage":["https://openalex.org/I3132420320"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:Text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W26556108","https://openalex.org/W784772322","https://openalex.org/W1482680420","https://openalex.org/W1505706396","https://openalex.org/W1525570549","https://openalex.org/W1540076816","https://openalex.org/W1633157623","https://openalex.org/W1884140786","https://openalex.org/W1995148101","https://openalex.org/W2003840611","https://openalex.org/W2007259720","https://openalex.org/W2014830756","https://openalex.org/W2037726512","https://openalex.org/W2043670592","https://openalex.org/W2064366207","https://openalex.org/W2065607954","https://openalex.org/W2068993993","https://openalex.org/W2089437293","https://openalex.org/W2128539477","https://openalex.org/W2128853364","https://openalex.org/W2141380216","https://openalex.org/W2142496304","https://openalex.org/W2146635036","https://openalex.org/W2154590891","https://openalex.org/W2160011226","https://openalex.org/W2167868137","https://openalex.org/W2185864411","https://openalex.org/W2245726859","https://openalex.org/W2293186503","https://openalex.org/W2293771254","https://openalex.org/W2341962413","https://openalex.org/W2396727930","https://openalex.org/W3106161546","https://openalex.org/W4235776187","https://openalex.org/W6696797396","https://openalex.org/W6696974260","https://openalex.org/W6704111439"],"related_works":["https://openalex.org/W3121314575","https://openalex.org/W3147497457","https://openalex.org/W4206336957","https://openalex.org/W4225552076","https://openalex.org/W1973961853","https://openalex.org/W3004823601","https://openalex.org/W402921825","https://openalex.org/W91485067","https://openalex.org/W1978400480","https://openalex.org/W4323021577"],"abstract_inverted_index":{"Since":[0],"data":[1,10,30,51,109,150],"sizes":[2],"of":[3,38,141,152],"analytical":[4],"applications":[5],"are":[6,12,34,65],"continuously":[7],"growing,":[8],"many":[9,27,117],"scientists":[11,151],"switching":[13],"from":[14,103],"customized":[15],"micro-solutions":[16],"to":[17,121,145],"scalable":[18],"alternatives,":[19],"such":[20,106],"as":[21,107],"statistical":[22],"and":[23,32,49,61,116,156,170],"scientific":[24],"databases.":[25],"However,":[26],"algorithms":[28,60,155],"in":[29,36,119],"mining":[31],"science":[33],"expressed":[35],"terms":[37],"linear":[39,58],"algebra,":[40],"which":[41,135],"is":[42,86,144],"barely":[43],"supported":[44],"by":[45],"major":[46],"database":[47,104],"vendors":[48],"big":[50],"solutions.":[52],"On":[53],"the":[54,123,147],"other":[55],"side,":[56],"conventional":[57],"algebra":[59],"legacy":[62],"matrix":[63,79,93,131,157],"representations":[64],"often":[66],"not":[67],"suitable":[68],"for":[69,77,149],"very":[70],"large":[71,78],"matrices.":[72,173],"We":[73,160],"propose":[74],"a":[75,89,130],"strategy":[76],"processing":[80],"on":[81,88,167],"modern":[82],"multicore":[83],"systems":[84],"that":[85],"based":[87],"novel,":[90],"adaptive":[91],"tile":[92],"representation":[94],"(AT":[95],"MATRIX).":[96],"Our":[97],"solution":[98,143],"utilizes":[99],"multiple":[100],"techniques":[101],"inspired":[102],"technology,":[105],"multidimensional":[108],"partitioning,":[110],"cardinality":[111],"estimation,":[112],"indexing,":[113],"dynamic":[114],"rewrites,":[115],"more":[118],"order":[120],"optimize":[122],"execution":[124],"time.":[125],"Based":[126],"thereon":[127],"we":[128],"present":[129],"multiplication":[132],"operator":[133],"ATMULT,":[134],"outperforms":[136],"alternative":[137],"approaches.":[138],"The":[139],"aim":[140],"our":[142],"overcome":[146],"burden":[148],"selecting":[153],"appropriate":[154],"storage":[158],"representations.":[159],"evaluated":[161],"AT":[162],"MATRIX":[163],"together":[164],"with":[165],"ATMULT":[166],"several":[168],"real-world":[169],"synthetic":[171],"random":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
