{"id":"https://openalex.org/W2091843288","doi":"https://doi.org/10.1109/hipc.2013.6799135","title":"Efficient sparse matrix multiple-vector multiplication using a bitmapped format","display_name":"Efficient sparse matrix multiple-vector multiplication using a bitmapped format","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2091843288","doi":"https://doi.org/10.1109/hipc.2013.6799135","mag":"2091843288"},"language":"en","primary_location":{"id":"doi:10.1109/hipc.2013.6799135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc.2013.6799135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"20th Annual International Conference on High Performance Computing","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/A5112212583","display_name":"Ramaseshan Kannan","orcid":null},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]},{"id":"https://openalex.org/I4210148542","display_name":"Arup Group (United Kingdom)","ror":"https://ror.org/057d3rj91","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210148542"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ramaseshan Kannan","raw_affiliation_strings":["Arup I Oasys, London, UK","Sch. of Math., Univ. of Manchester, Manchester, UK"],"affiliations":[{"raw_affiliation_string":"Arup I Oasys, London, UK","institution_ids":["https://openalex.org/I4210148542"]},{"raw_affiliation_string":"Sch. of Math., Univ. of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112212583"],"corresponding_institution_ids":["https://openalex.org/I28407311","https://openalex.org/I4210148542"],"apc_list":null,"apc_paid":null,"fwci":0.3165,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.62773471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2073","issue":null,"first_page":"286","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9980999827384949,"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":0.9976000189781189,"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":0.8016982078552246},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.721092700958252},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6966292858123779},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.5504631996154785},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.47081050276756287},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.45527854561805725},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.43602439761161804},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.4110527038574219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37619805335998535},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.12426269054412842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016982078552246},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.721092700958252},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6966292858123779},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.5504631996154785},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.47081050276756287},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.45527854561805725},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.43602439761161804},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.4110527038574219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37619805335998535},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.12426269054412842},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hipc.2013.6799135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hipc.2013.6799135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"20th Annual International Conference on High Performance Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.maths.manchester.ac.uk.MIMS.EPrints:1872","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400452","display_name":"MIMS EPrints (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"MIMS Preprint"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320291","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1518969538","https://openalex.org/W1575701986","https://openalex.org/W1983096721","https://openalex.org/W1987393840","https://openalex.org/W2035080386","https://openalex.org/W2092608522","https://openalex.org/W2104120668","https://openalex.org/W2111667319","https://openalex.org/W2114977680","https://openalex.org/W4292169167","https://openalex.org/W6630991115","https://openalex.org/W6675577517","https://openalex.org/W6676508306"],"related_works":["https://openalex.org/W2293771254","https://openalex.org/W4221142455","https://openalex.org/W3121828480","https://openalex.org/W2039875226","https://openalex.org/W2914631005","https://openalex.org/W2032786851","https://openalex.org/W2952630098","https://openalex.org/W3132517792","https://openalex.org/W1541167181","https://openalex.org/W4285148873"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,28,81,89,95],"obtaining":[3],"high":[4,22,105],"computational":[5],"throughput":[6,106],"from":[7],"sparse":[8,16,47,96,99],"matrix":[9,17,48,100],"multiple-vector":[10,101],"multiplication":[11,102],"routines":[12],"is":[13,85,111],"considered.":[14],"Current":[15],"formats":[18],"and":[19,25,30,65,77,110],"algorithms":[20],"have":[21],"bandwidth":[23,66],"requirements":[24],"poor":[26],"reuse":[27],"cache":[29],"register":[31],"loaded":[32],"entries,":[33],"which":[34],"restrict":[35],"their":[36],"performance.":[37],"We":[38],"propose":[39],"the":[40,79],"mapped":[41],"blocked":[42],"row":[43],"format:":[44],"a":[45,56],"bitmapped":[46],"format":[49],"that":[50,88],"stores":[51],"entries":[52],"as":[53],"blocks":[54],"without":[55,62],"fill":[57],"overhead,":[58],"thereby":[59],"offering":[60],"blocking":[61],"additional":[63],"storage":[64],"overheads.":[67],"An":[68],"efficient":[69],"algorithm":[70,103],"decodes":[71],"bitmaps":[72],"using":[73,113],"de":[74],"Bruijn":[75],"sequences":[76],"minimizes":[78],"number":[80],"conditionals":[82],"evaluated.":[83],"Performance":[84],"compared":[86],"with":[87],"popular":[90],"formats,":[91],"including":[92],"vendor":[93],"implementations":[94],"BLAS.":[97],"Our":[98],"achieves":[104],"on":[107],"all":[108],"platforms":[109],"implemented":[112],"platform":[114],"neutral":[115],"optimizations.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"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"}
