{"id":"https://openalex.org/W2037726512","doi":"https://doi.org/10.1145/2618243.2618254","title":"SLACID - sparse linear algebra in a column-oriented in-memory database system","display_name":"SLACID - sparse linear algebra in a column-oriented in-memory database system","publication_year":2014,"publication_date":"2014-06-24","ids":{"openalex":"https://openalex.org/W2037726512","doi":"https://doi.org/10.1145/2618243.2618254","mag":"2037726512"},"language":"en","primary_location":{"id":"doi:10.1145/2618243.2618254","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2618243.2618254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on Scientific and Statistical Database Management","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%3A80650","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, Germany","Technische Universitat Dresden, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Technische Universitat Dresden, Germany#TAB#","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","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 K\u00f6hler","raw_affiliation_strings":["SAP AG, Walldorf, Germany"],"affiliations":[{"raw_affiliation_string":"SAP AG, Walldorf, Germany","institution_ids":["https://openalex.org/I4210132444"]}]},{"author_position":"last","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, Germany","Technische Universitat Dresden, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t, Dresden, Germany","institution_ids":["https://openalex.org/I78650965"]},{"raw_affiliation_string":"Technische Universitat Dresden, Germany#TAB#","institution_ids":["https://openalex.org/I78650965"]}]}],"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":4.4008,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94461958,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9993000030517578,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.998199999332428,"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":0.7522115707397461},{"id":"https://openalex.org/keywords/linear-algebra","display_name":"Linear algebra","score":0.7199994325637817},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.6641530394554138},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5760063529014587},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5009384155273438},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4924837052822113},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.48049747943878174},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.44765153527259827},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.44168195128440857},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4136790931224823},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40883558988571167},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.32877522706985474},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.30072054266929626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24909943342208862},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21275675296783447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.120806485414505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522115707397461},{"id":"https://openalex.org/C139352143","wikidata":"https://www.wikidata.org/wiki/Q82571","display_name":"Linear algebra","level":2,"score":0.7199994325637817},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.6641530394554138},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5760063529014587},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5009384155273438},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4924837052822113},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.48049747943878174},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.44765153527259827},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.44168195128440857},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4136790931224823},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40883558988571167},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.32877522706985474},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.30072054266929626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24909943342208862},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21275675296783447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.120806485414505},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2618243.2618254","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2618243.2618254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},{"id":"pmh:oai:qucosa:de:qucosa:80650","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A80650","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:80650","is_oa":true,"landing_page_url":"https://tud.qucosa.de/id/qucosa%3A80650","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":0.5299999713897705,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323384","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24"},{"id":"https://openalex.org/F4320337512","display_name":"Nuclear Physics","ror":"https://ror.org/02atag894"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W26556108","https://openalex.org/W1557285755","https://openalex.org/W1575701986","https://openalex.org/W1854214752","https://openalex.org/W1993879252","https://openalex.org/W2007259720","https://openalex.org/W2014830756","https://openalex.org/W2042344880","https://openalex.org/W2043670592","https://openalex.org/W2044849727","https://openalex.org/W2083036673","https://openalex.org/W2102458936","https://openalex.org/W2102639991","https://openalex.org/W2125598538","https://openalex.org/W2127349568","https://openalex.org/W2132624318","https://openalex.org/W2134204499","https://openalex.org/W2136390693","https://openalex.org/W2146635036","https://openalex.org/W2154590891","https://openalex.org/W2160011226","https://openalex.org/W2166350897","https://openalex.org/W2169251528","https://openalex.org/W2183410113","https://openalex.org/W2396727930","https://openalex.org/W4229666556","https://openalex.org/W6601082130","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W2091883426","https://openalex.org/W3173235360","https://openalex.org/W2174948646","https://openalex.org/W2024017047","https://openalex.org/W4318256793","https://openalex.org/W4381050447","https://openalex.org/W2051410394","https://openalex.org/W2594370889","https://openalex.org/W1835670156","https://openalex.org/W2390720471"],"abstract_inverted_index":{"Scientific":[0],"computations":[1],"and":[2,46,80,132,137,152],"analytical":[3],"business":[4],"applications":[5],"are":[6,112],"often":[7],"based":[8],"on":[9,13],"linear":[10,35,117],"algebra":[11,36,118],"operations":[12],"large,":[14],"sparse":[15,52,70,143],"matrices.":[16],"With":[17],"the":[18,22,40,68,82,139],"hardware":[19],"shift":[20],"of":[21,50,92,110,128,149],"primary":[23],"storage":[24],"from":[25,67],"disc":[26],"into":[27],"memory":[28],"it":[29],"is":[30,85,99],"now":[31],"feasible":[32],"to":[33,88],"execute":[34],"queries":[37],"directly":[38],"in":[39,54],"database":[41,58,78],"engine.":[42],"This":[43],"paper":[44],"presents":[45],"compares":[47],"different":[48],"approaches":[49],"storing":[51],"matrices":[53],"an":[55],"in-memory":[56],"column-oriented":[57],"system.":[59],"We":[60],"show":[61],"that":[62,81,126],"a":[63,76,89,123,129,133],"system":[64],"layout":[65],"derived":[66],"compressed":[69],"row":[71],"representation":[72],"integrates":[73],"well":[74],"with":[75],"columnar":[77],"design":[79],"resulting":[83],"architecture":[84,125],"moreover":[86],"amenable":[87],"wide":[90],"range":[91],"non-numerical":[93],"use":[94],"cases":[95],"when":[96],"dictionary":[97],"encoding":[98],"used.":[100],"Dynamic":[101],"matrix":[102,144],"manipulation":[103],"operations,":[104],"like":[105],"online":[106],"insertion":[107],"or":[108],"deletion":[109],"elements,":[111],"not":[113],"covered":[114],"by":[115,146],"most":[116],"frameworks.":[119],"Therefore,":[120],"we":[121],"present":[122],"hybrid":[124],"consists":[127],"read-optimized":[130],"main":[131],"write-optimized":[134],"delta":[135],"structure":[136],"evaluate":[138],"performance":[140],"for":[141],"dynamic":[142],"workloads":[145],"applying":[147],"workflows":[148],"nuclear":[150],"science":[151],"network":[153],"graphs.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}