{"id":"https://openalex.org/W1574843539","doi":null,"title":"BBCS Based Sparse Matrix-Vector Multiplication: Initial Evaluation","display_name":"BBCS Based Sparse Matrix-Vector Multiplication: Initial Evaluation","publication_year":null,"publication_date":null,"ids":{"openalex":"https://openalex.org/W1574843539","mag":"1574843539"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.23.705","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ce.et.tudelft.nl/~pyrrhos/papers/imacs2000.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5019437330","display_name":"Simon Vassiliadis","orcid":"https://orcid.org/0000-0003-2335-1543","observed_orcids":["https://orcid.org/0000-0003-2335-1543"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stamatis Vassiliadis","raw_affiliation_strings":["Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057424352","display_name":"Sorin Cot\u00f6fan\u0103","orcid":"https://orcid.org/0000-0001-7132-2291","observed_orcids":["https://orcid.org/0000-0001-7132-2291"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sorin Cotofana","raw_affiliation_strings":["Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037663123","display_name":"Pyrrhos Stathis","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pyrrhos Stathis","raw_affiliation_strings":["External organisation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"External organisation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9545999765396118,"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":0.9545999765396118,"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/T10792","display_name":"Matrix Theory and Algorithms","score":0.03929999843239784,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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-vector-multiplication","display_name":"sparse matrix-vector multiplication","score":0.8859999775886536},{"id":"https://openalex.org/keywords/sparse-matrix-storage-formats","display_name":"sparse matrix storage formats","score":0.7549999952316284},{"id":"https://openalex.org/keywords/vector-processors","display_name":"vector processors","score":0.9919999837875366},{"id":"https://openalex.org/keywords/vector-instructions","display_name":"vector instructions","score":0.5740000009536743},{"id":"https://openalex.org/keywords/performance-evaluation","display_name":"performance evaluation","score":0.4659999907016754}],"concepts":[{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.7789117097854614},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.6280127167701721},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5103227496147156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.497844934463501},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4960952699184418},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.4864775836467743},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.481862872838974},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.47119757533073425},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.4702640473842621},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44347143173217773},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4284426271915436},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4244453012943268},{"id":"https://openalex.org/C85817219","wikidata":"https://www.wikidata.org/wiki/Q884772","display_name":"Block matrix","level":3,"score":0.42189744114875793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3780161440372467},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3452020585536957},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33227086067199707},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09722211956977844},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.23.705","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ce.et.tudelft.nl/~pyrrhos/papers/imacs2000.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1522888794","https://openalex.org/W1768849904","https://openalex.org/W1968364820","https://openalex.org/W2020756943","https://openalex.org/W2111217741","https://openalex.org/W2151134402","https://openalex.org/W2154590891","https://openalex.org/W3132178687"],"related_works":["https://openalex.org/W7096810723","https://openalex.org/W1562510444","https://openalex.org/W7096910691","https://openalex.org/W7100233379","https://openalex.org/W1589483405","https://openalex.org/W7101106988","https://openalex.org/W1207115811","https://openalex.org/W170601746","https://openalex.org/W2940194197","https://openalex.org/W4235776187"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,87],"evaluation":[4],"of":[5,29,62,108,116],"the":[6,12,27,75,94,105,109,117],"BBCS":[7,53],"scheme":[8,73,85],"meant":[9],"to":[10,104,114],"alleviate":[11],"performance":[13,68],"degradation":[14],"experienced":[15],"byVector":[16],"Processors":[17],"(VPs)":[18],"when":[19,120],"manipulating":[20],"sparse":[21,46],"matrices.":[22],"In":[23],"particular":[24],"we":[25,58],"address":[26],"execution":[28],"Sparse":[30],"Matrix":[31],"Vector":[32],"Multiplication":[33],"(SMVM)":[34],"algorithms":[35],"on":[36],"VPs.":[37],"First":[38],"weintroduce":[39],"a":[40,52,60],"Block":[41],"Based":[42],"Compressed":[43],"Storage":[44],"(BBCS)":[45],"matrix":[47],"representation":[48],"format":[49],"variants,":[50],"and":[51,70,99],"based":[54],"SMVM":[55],"algorithm.":[56],"Subsequently,":[57],"consider":[59],"set":[61],"benchmark":[63],"matrices,":[64],"report":[65],"some":[66],"preliminary":[67],"evaluations,":[69],"compare":[71],"our":[72,84],"with":[74],"Jagged":[76],"Diagonal":[77],"(JD)":[78],"scheme.":[79],"Our":[80],"experiments":[81],"suggest":[82],"that":[83,100],"achieves":[86],"average":[88],"vector":[89,122,125],"register":[90,126],"filling":[91,127],"larger":[92],"then":[93],"one":[95],"achieved":[96],"by":[97],"JD":[98],"is":[101],"not":[102],"sensitive":[103],"assumed":[106],"value":[107],"VP":[110],"section":[111],"size.":[112],"Due":[113],"reduction":[115],"startup":[118],"penalty":[119],"executing":[121],"instructions,":[123],"higher":[124,131],"will":[128],"translate":[129],"into":[130],"performance.":[132],"1":[133]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}
