{"id":"https://openalex.org/W4319941662","doi":"https://doi.org/10.1145/3578178.3578233","title":"Associative Operator Precedence Parsing: A Method To Increase Data Parsing Parallelism","display_name":"Associative Operator Precedence Parsing: A Method To Increase Data Parsing Parallelism","publication_year":2023,"publication_date":"2023-02-10","ids":{"openalex":"https://openalex.org/W4319941662","doi":"https://doi.org/10.1145/3578178.3578233"},"language":"en","primary_location":{"id":"doi:10.1145/3578178.3578233","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578178.3578233","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578233","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578233","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079240219","display_name":"Le Li","orcid":"https://orcid.org/0000-0002-7334-1602"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Le Li","raw_affiliation_strings":["Graduate School of Information Science and Technology / Taura Laboratory, The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology / Taura Laboratory, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009359355","display_name":"Kenjiro Taura","orcid":"https://orcid.org/0000-0001-5224-382X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenjiro Taura","raw_affiliation_strings":["Graduate School of Information Science and Technology / Taura Laboratory, The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology / Taura Laboratory, The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079240219"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.6959,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74176743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13650","display_name":"Computational Physics and Python Applications","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9732000231742859,"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/T11697","display_name":"Numerical Methods and Algorithms","score":0.9724000096321106,"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/parsing","display_name":"Parsing","score":0.85555100440979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8489565849304199},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.7220032215118408},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.6947934627532959},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5636742115020752},{"id":"https://openalex.org/keywords/s-attributed-grammar","display_name":"S-attributed grammar","score":0.556713342666626},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5255157947540283},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.5120134949684143},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.44159752130508423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3952292501926422},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3583035171031952},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3408176302909851},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11931809782981873}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.85555100440979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8489565849304199},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.7220032215118408},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.6947934627532959},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5636742115020752},{"id":"https://openalex.org/C147547768","wikidata":"https://www.wikidata.org/wiki/Q3113342","display_name":"S-attributed grammar","level":3,"score":0.556713342666626},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5255157947540283},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.5120134949684143},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.44159752130508423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3952292501926422},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3583035171031952},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3408176302909851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11931809782981873},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578178.3578233","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578178.3578233","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578233","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3578178.3578233","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578178.3578233","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578178.3578233","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319941662.pdf"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1953299766","https://openalex.org/W1956354834","https://openalex.org/W1972531631","https://openalex.org/W1988078800","https://openalex.org/W2011166386","https://openalex.org/W2097033551","https://openalex.org/W2135421348","https://openalex.org/W2293874255","https://openalex.org/W2441059602","https://openalex.org/W2619959750","https://openalex.org/W2748734711","https://openalex.org/W2889015391","https://openalex.org/W2941208251","https://openalex.org/W3021676532","https://openalex.org/W3176694602","https://openalex.org/W4241089204","https://openalex.org/W4248027902"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W4291149798","https://openalex.org/W3088470625","https://openalex.org/W3035970863","https://openalex.org/W2281562628","https://openalex.org/W2250574586","https://openalex.org/W2058621701","https://openalex.org/W4320024782","https://openalex.org/W2113982204","https://openalex.org/W2389755172"],"abstract_inverted_index":{"Many":[0],"data":[1,19,105,107],"often":[2,108],"come":[3],"with":[4,41,60],"a":[5,42,56,73,90,126],"high":[6,110],"volume":[7],"in":[8,82],"textual":[9],"format":[10],"(JSON,":[11],"XML,":[12],"CSV).":[13],"Because":[14],"parsing":[15,35,86,104],"can":[16],"easily":[17],"dominate":[18],"analysis":[20],"time,":[21],"researchers":[22],"have":[23],"been":[24],"working":[25],"on":[26],"parallelizing":[27],"parsing.":[28],"Operator":[29],"Precedence":[30],"Parsing":[31],"(OPP),":[32],"among":[33],"candidate":[34],"methods,":[36],"is":[37,58],"amenable":[38],"to":[39,53,71],"parallelization,":[40],"practical":[43],"algorithm":[44],"proposed.":[45],"The":[46],"\u201clocally":[47],"parsable\u201d":[48],"property":[49],"allows":[50],"the":[51,65,85],"parser":[52],"deduce":[54],"if":[55],"reduction":[57],"safe":[59],"limited":[61],"context.":[62],"However,":[63],"when":[64,103,131],"grammar":[66],"has":[67,97],"productions":[68],"that":[69,128],"tend":[70],"produce":[72],"highly":[74],"skewed":[75],"parse":[76],"tree,":[77],"OPP":[78,96],"raises":[79],"reductions":[80],"mostly":[81],"serial,":[83],"and":[84],"still":[87],"suffers":[88],"from":[89,123],"long":[91],"critical":[92],"path.":[93],"In":[94],"pactice,":[95],"little":[98],"or":[99],"even":[100],"no":[101],"speedup":[102],"because":[106],"contain":[109],"percentage":[111],"of":[112],"parallel":[113],"elements":[114,118],"(e.g.,":[115],"JSON":[116],"array":[117],"separated":[119],"by":[120],"commas)":[121],"produced":[122],"such":[124],"productions,":[125],"situation":[127],"frequently":[129],"occurs":[130],"processing":[132],"big":[133],"data.":[134]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
