{"id":"https://openalex.org/W2784307335","doi":"https://doi.org/10.1186/s12859-018-2008-6","title":"Tuning iteration space slicing based tiled multi-core code implementing Nussinov\u2019s RNA folding","display_name":"Tuning iteration space slicing based tiled multi-core code implementing Nussinov\u2019s RNA folding","publication_year":2018,"publication_date":"2018-01-15","ids":{"openalex":"https://openalex.org/W2784307335","doi":"https://doi.org/10.1186/s12859-018-2008-6","mag":"2784307335","pmid":"https://pubmed.ncbi.nlm.nih.gov/29334891"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-018-2008-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2008-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2008-6","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2008-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044868188","display_name":"Marek Pa\u0142kowski","orcid":"https://orcid.org/0000-0002-5932-4523"},"institutions":[{"id":"https://openalex.org/I155313962","display_name":"West Pomeranian University of Technology in Szczecin","ror":"https://ror.org/0596m7f19","country_code":"PL","type":"education","lineage":["https://openalex.org/I155313962"]},{"id":"https://openalex.org/I79833322","display_name":"Pomeranian Medical University","ror":"https://ror.org/01v1rak05","country_code":"PL","type":"education","lineage":["https://openalex.org/I79833322"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marek Palkowski","raw_affiliation_strings":["West Pomeranian University of Technology, Faculty of Computer Science, Zolnierska 49, Szczecin, 71-210, Poland. mpalkowski@wi.zut.edu.pl","West Pomeranian University of Technology, Faculty of Computer Science, Zolnierska 49, Szczecin, 71-210, Poland"],"raw_orcid":"https://orcid.org/0000-0002-5932-4523","affiliations":[{"raw_affiliation_string":"West Pomeranian University of Technology, Faculty of Computer Science, Zolnierska 49, Szczecin, 71-210, Poland. mpalkowski@wi.zut.edu.pl","institution_ids":["https://openalex.org/I155313962","https://openalex.org/I79833322"]},{"raw_affiliation_string":"West Pomeranian University of Technology, Faculty of Computer Science, Zolnierska 49, Szczecin, 71-210, Poland","institution_ids":["https://openalex.org/I155313962"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088179088","display_name":"W\u0142odzimierz Bielecki","orcid":"https://orcid.org/0000-0002-7943-6207"},"institutions":[{"id":"https://openalex.org/I155313962","display_name":"West Pomeranian University of Technology in Szczecin","ror":"https://ror.org/0596m7f19","country_code":"PL","type":"education","lineage":["https://openalex.org/I155313962"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Wlodzimierz Bielecki","raw_affiliation_strings":["West Pomeranian University of Technology, Faculty of Computer Science, Zolnierska 49, Szczecin, 71-210, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"West Pomeranian University of Technology, Faculty of Computer Science, Zolnierska 49, Szczecin, 71-210, Poland","institution_ids":["https://openalex.org/I155313962"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.6495,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.67372907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"19","issue":"1","first_page":"12","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.37220001220703125,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.37220001220703125,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.1225999966263771,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.0917000025510788,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6342290043830872},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5714384913444519},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.4764147996902466},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.47579583525657654},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4389646351337433},{"id":"https://openalex.org/keywords/prefix-code","display_name":"Prefix code","score":0.42314955592155457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41652196645736694},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3876779079437256},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37275445461273193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23907634615898132},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.16364634037017822},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.15597903728485107},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12735122442245483},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.12224030494689941},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.12144932150840759},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0931825041770935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6342290043830872},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5714384913444519},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.4764147996902466},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.47579583525657654},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4389646351337433},{"id":"https://openalex.org/C20079647","wikidata":"https://www.wikidata.org/wiki/Q1278039","display_name":"Prefix code","level":5,"score":0.42314955592155457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41652196645736694},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3876779079437256},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37275445461273193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23907634615898132},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.16364634037017822},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.15597903728485107},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12735122442245483},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.12224030494689941},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.12144932150840759},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0931825041770935},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009690","descriptor_name":"Nucleic Acid Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009690","descriptor_name":"Nucleic Acid Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009690","descriptor_name":"Nucleic Acid Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009690","descriptor_name":"Nucleic Acid Conformation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059370","descriptor_name":"RNA Folding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059370","descriptor_name":"RNA Folding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059370","descriptor_name":"RNA Folding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059370","descriptor_name":"RNA Folding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-018-2008-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2008-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2008-6","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:29334891","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29334891","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:459af8f41d9f486082dfd528930ea99c","is_oa":true,"landing_page_url":"https://doaj.org/article/459af8f41d9f486082dfd528930ea99c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 19, Iss 1, Pp 1-12 (2018)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5769393","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5769393","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12859-018-2008-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-018-2008-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-018-2008-6","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2784307335.pdf","grobid_xml":"https://content.openalex.org/works/W2784307335.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1191262899","https://openalex.org/W1503700136","https://openalex.org/W1545258949","https://openalex.org/W1567153395","https://openalex.org/W2025763720","https://openalex.org/W2034761517","https://openalex.org/W2054931730","https://openalex.org/W2080794684","https://openalex.org/W2087001748","https://openalex.org/W2095148514","https://openalex.org/W2108737583","https://openalex.org/W2108865780","https://openalex.org/W2112391112","https://openalex.org/W2123286830","https://openalex.org/W2142655718","https://openalex.org/W2148638118","https://openalex.org/W2172191698","https://openalex.org/W2560832313","https://openalex.org/W2571258720","https://openalex.org/W2583310649","https://openalex.org/W2604891545","https://openalex.org/W2621218774","https://openalex.org/W3151489216"],"related_works":["https://openalex.org/W4295007441","https://openalex.org/W2465989830","https://openalex.org/W2384679811","https://openalex.org/W2368200340","https://openalex.org/W2093178562","https://openalex.org/W1558498394","https://openalex.org/W4206106662","https://openalex.org/W2789761906","https://openalex.org/W251429526","https://openalex.org/W1984800684"],"abstract_inverted_index":{"BACKGROUND:":[0],"RNA":[1,31,80,309,332],"folding":[2],"is":[3,20,115,334],"an":[4],"ongoing":[5],"compute-intensive":[6],"task":[7],"of":[8,18,22,70,101,190,210,331],"bioinformatics.":[9],"Parallelization":[10],"and":[11,121,128,138,175,196,232,276,300],"improving":[12],"code":[13,77,114,129,147,173,230,236,252,281,306,322],"locality":[14],"for":[15,220],"this":[16,155,194,218,235,248,321],"kind":[17],"algorithms":[19],"one":[21],"the":[23,53,67,86,92,98,134,171,202,207,211,226,255,272,289,296,329],"most":[24],"relevant":[25],"areas":[26],"in":[27,188,201,217,225,234,267,303],"computational":[28],"biology.":[29],"Fortunately,":[30],"secondary":[32],"structure":[33,174],"approaches,":[34],"such":[35],"as":[36],"Nussinov's":[37,79,308],"recurrence,":[38],"involve":[39],"mathematical":[40],"operations":[41],"over":[42],"affine":[43,180],"control":[44],"loops":[45],"whose":[46],"iteration":[47,87],"space":[48,88,271],"can":[49],"be":[50],"represented":[51],"by":[52],"polyhedral":[54,62],"model.":[55],"This":[56],"allows":[57,263,292],"us":[58,264,293],"to":[59,73,97,103,253,265,294],"apply":[60],"powerful":[61],"compilation":[63],"techniques":[64,83],"based":[65],"on":[66,314],"transitive":[68,93],"closure":[69],"dependence":[71],"graphs":[72],"generate":[74,159],"parallel":[75,112,144,249,304],"tiled":[76,113,146,162,229,251,305],"implementing":[78,307],"folding.":[81,310],"Such":[82],"are":[84,95,149],"within":[85],"slicing":[89],"framework":[90],"-":[91],"dependences":[94],"applied":[96],"statement":[99],"instances":[100],"interest":[102],"produce":[104],"valid":[105],"tiles.":[106],"The":[107],"main":[108],"problem":[109],"at":[110],"generating":[111],"defining":[116,151],"a":[117,178,268,285],"proper":[118],"tile":[119,122,136,139,152,167,257,274,277,298,301],"size":[120,137,258,275,299],"dimension":[123,278,302],"which":[124,182,262],"impact":[125],"parallelism":[126],"degree":[127],"locality.":[130],"RESULTS:":[131],"To":[132],"choose":[133,295],"best":[135,273,297],"dimension,":[140],"we":[141,157,213,246],"first":[142,158],"construct":[143],"parametric":[145,250],"(parameters":[148],"variables":[150],"size).":[153],"With":[154],"purpose,":[156],"two":[160],"nonparametric":[161],"codes":[163],"with":[164,170,241],"different":[165],"fixed":[166,228],"sizes":[168],"but":[169],"same":[172,227],"then":[176],"derive":[177],"general":[179],"model,":[181],"describes":[183],"all":[184],"integer":[185,198,222,239],"factors":[186,199],"available":[187,224],"expressions":[189,204],"those":[191,242],"codes.":[192],"Using":[193],"model":[195,219],"known":[197,324],"present":[200],"mentioned":[203],"(they":[205],"define":[206],"left-hand":[208],"side":[209],"model),":[212],"find":[214],"unknown":[215],"integers":[216],"each":[221],"factor":[223],"position":[231],"replace":[233],"expressions,":[237],"including":[238,243],"factors,":[240],"parameters.":[244],"Then":[245],"use":[247],"implement":[254],"well-known":[256],"selection":[259],"(TSS)":[260],"technique,":[261],"discover":[266],"given":[269,286],"search":[270,287],"maximizing":[279],"target":[280],"performance.":[282],"CONCLUSIONS:":[283],"For":[284],"space,":[288],"presented":[290],"approach":[291],"Experimental":[311],"results,":[312],"received":[313],"modern":[315],"Intel":[316],"multi-core":[317],"processors,":[318],"demonstrate":[319],"that":[320],"outperforms":[323],"closely":[325],"related":[326],"implementations":[327],"when":[328],"length":[330],"strands":[333],"bigger":[335],"than":[336],"2500.":[337]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}