{"id":"https://openalex.org/W4409132220","doi":"https://doi.org/10.1109/hpec62836.2024.10938464","title":"A Framework for Analyzing the Performance of Sparse Matrix and Graph Operations","display_name":"A Framework for Analyzing the Performance of Sparse Matrix and Graph Operations","publication_year":2024,"publication_date":"2024-09-23","ids":{"openalex":"https://openalex.org/W4409132220","doi":"https://doi.org/10.1109/hpec62836.2024.10938464"},"language":"en","primary_location":{"id":"doi:10.1109/hpec62836.2024.10938464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec62836.2024.10938464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-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/A5041379972","display_name":"Khaled Abdelaal","orcid":"https://orcid.org/0000-0001-8963-7523"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khaled Abdelaal","raw_affiliation_strings":["School of Computer Science, The University of Oklahoma,Norman,OK,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Oklahoma,Norman,OK,USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011290316","display_name":"Richard Veras","orcid":"https://orcid.org/0000-0003-2633-3391"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard Veras","raw_affiliation_strings":["School of Computer Science, The University of Oklahoma,Norman,OK,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Oklahoma,Norman,OK,USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27063237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.972000002861023,"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":0.972000002861023,"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/T12541","display_name":"Graph Labeling and Dimension Problems","score":0.9320999979972839,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10374","display_name":"Advanced Graph Theory Research","score":0.9236000180244446,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/sparse-matrix","display_name":"Sparse matrix","score":0.724198579788208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209286689758301},{"id":"https://openalex.org/keywords/dense-graph","display_name":"Dense graph","score":0.48333048820495605},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47222307324409485},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4669229984283447},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4418973922729492},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.43569421768188477},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13393723964691162},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09488770365715027},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.09066084027290344}],"concepts":[{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.724198579788208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209286689758301},{"id":"https://openalex.org/C13251829","wikidata":"https://www.wikidata.org/wiki/Q3085841","display_name":"Dense graph","level":5,"score":0.48333048820495605},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47222307324409485},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4669229984283447},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4418973922729492},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.43569421768188477},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13393723964691162},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09488770365715027},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.09066084027290344},{"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/C102192266","wikidata":"https://www.wikidata.org/wiki/Q4545823","display_name":"1-planar graph","level":4,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec62836.2024.10938464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec62836.2024.10938464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W109781734","https://openalex.org/W1562536132","https://openalex.org/W2002555321","https://openalex.org/W2020385058","https://openalex.org/W2035080386","https://openalex.org/W2108614537","https://openalex.org/W2172067437","https://openalex.org/W2271217456","https://openalex.org/W2607112060","https://openalex.org/W2735793669","https://openalex.org/W2983865192","https://openalex.org/W3015498000","https://openalex.org/W3034645333","https://openalex.org/W4385574967"],"related_works":["https://openalex.org/W4387560237","https://openalex.org/W4285148873","https://openalex.org/W2045476623","https://openalex.org/W4287713161","https://openalex.org/W4388101094","https://openalex.org/W2076468490","https://openalex.org/W2081219400","https://openalex.org/W2805810264","https://openalex.org/W2384787007","https://openalex.org/W1970330626"],"abstract_inverted_index":{"Thorough":[0],"performance":[1,32,51,85,109],"analysis":[2,45],"is":[3,69],"crucial":[4],"for":[5,11,53],"developing":[6],"and":[7,37,80,95,103,121],"optimizing":[8],"algorithms,":[9],"particularly":[10],"compute-intensive":[12],"operations":[13,41,55,82],"like":[14],"those":[15],"in":[16],"scientific":[17],"libraries":[18],"such":[19],"as":[20],"the":[21],"Basic":[22],"Linear":[23],"Algebra":[24],"Subprograms":[25],"(BLAS).":[26],"While":[27],"dense":[28],"computations":[29],"can":[30],"predict":[31],"based":[33],"on":[34,98],"dataset":[35],"dimensions":[36],"strides,":[38],"sparse":[39,54,78],"matrix":[40,79],"require":[42],"more":[43],"detailed":[44],"due":[46],"to":[47,66,76,113],"their":[48],"complexity.":[49],"Standard":[50],"evaluations":[52],"use":[56],"a":[57,74,101],"canonical":[58],"set":[59],"of":[60],"matrices,":[61],"but":[62],"generalizing":[63],"these":[64],"results":[65],"new":[67],"datasets":[68],"limited.":[70],"This":[71],"paper":[72],"presents":[73],"framework":[75],"evaluate":[77],"graph":[81,88,116],"by":[83],"visualizing":[84],"through":[86],"parameterized":[87],"models.":[89],"It":[90],"assesses":[91],"different":[92],"parameter":[93],"sets":[94],"noise":[96,122],"sources":[97],"performance,":[99],"providing":[100],"modular":[102],"extensible":[104],"approach,":[105],"which":[106],"includes":[107],"system-wide":[108],"considerations,":[110],"allowing":[111],"users":[112],"integrate":[114],"various":[115],"model":[117],"generators,":[118],"operation":[119],"implementations,":[120],"types.":[123]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}