{"id":"https://openalex.org/W4319587103","doi":"https://doi.org/10.1109/dsaa54385.2022.10032381","title":"Fast JSON parser using metaprogramming on GPU","display_name":"Fast JSON parser using metaprogramming on GPU","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4319587103","doi":"https://doi.org/10.1109/dsaa54385.2022.10032381"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa54385.2022.10032381","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dsaa54385.2022.10032381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5047582345","display_name":"Krzysztof Kaczmarski","orcid":"https://orcid.org/0000-0002-4023-5344"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Kaczmarski","raw_affiliation_strings":["Warsaw University of Technology,Poland","Warsaw University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology,Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Warsaw University of Technology, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089590183","display_name":"Jakub Nar\u0119bski","orcid":"https://orcid.org/0000-0002-3296-3915"},"institutions":[{"id":"https://openalex.org/I3019271933","display_name":"Nicolaus Copernicus University","ror":"https://ror.org/0102mm775","country_code":"PL","type":"education","lineage":["https://openalex.org/I3019271933"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jakub Narebski","raw_affiliation_strings":["Nicolaus Copernicus University in Toruń,Poland"],"affiliations":[{"raw_affiliation_string":"Nicolaus Copernicus University in Toruń,Poland","institution_ids":["https://openalex.org/I3019271933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000445701","display_name":"Stanislaw Piotrowski","orcid":null},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Stanislaw Piotrowski","raw_affiliation_strings":["Warsaw University of Technology,Poland","Warsaw University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology,Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Warsaw University of Technology, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053506993","display_name":"Piotr Przymus","orcid":"https://orcid.org/0000-0001-9548-2388"},"institutions":[{"id":"https://openalex.org/I3019271933","display_name":"Nicolaus Copernicus University","ror":"https://ror.org/0102mm775","country_code":"PL","type":"education","lineage":["https://openalex.org/I3019271933"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Piotr Przymus","raw_affiliation_strings":["Nicolaus Copernicus University in Toruń,Poland"],"affiliations":[{"raw_affiliation_string":"Nicolaus Copernicus University in Toruń,Poland","institution_ids":["https://openalex.org/I3019271933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047582345"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":null,"apc_paid":null,"fwci":0.2142,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41354904,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9965000152587891,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/json","display_name":"JSON","score":0.9608522057533264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8581570386886597},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7829834818840027},{"id":"https://openalex.org/keywords/metaprogramming","display_name":"Metaprogramming","score":0.6947324275970459},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.6493436694145203},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5760208368301392},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48461422324180603},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.41735219955444336},{"id":"https://openalex.org/keywords/parser-combinator","display_name":"Parser combinator","score":0.41122376918792725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3525184392929077},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.23897364735603333},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1736074686050415},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.16973555088043213}],"concepts":[{"id":"https://openalex.org/C2780416260","wikidata":"https://www.wikidata.org/wiki/Q2063","display_name":"JSON","level":2,"score":0.9608522057533264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8581570386886597},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7829834818840027},{"id":"https://openalex.org/C35390924","wikidata":"https://www.wikidata.org/wiki/Q661075","display_name":"Metaprogramming","level":2,"score":0.6947324275970459},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.6493436694145203},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5760208368301392},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48461422324180603},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.41735219955444336},{"id":"https://openalex.org/C118364021","wikidata":"https://www.wikidata.org/wiki/Q7139956","display_name":"Parser combinator","level":3,"score":0.41122376918792725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3525184392929077},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.23897364735603333},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1736074686050415},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.16973555088043213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa54385.2022.10032381","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/dsaa54385.2022.10032381","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1494271578","https://openalex.org/W1985462363","https://openalex.org/W2038850241","https://openalex.org/W2064807820","https://openalex.org/W2112632437","https://openalex.org/W2221677573","https://openalex.org/W2328153251","https://openalex.org/W2475483088","https://openalex.org/W2517857863","https://openalex.org/W2619959750","https://openalex.org/W2752005949","https://openalex.org/W2889015391","https://openalex.org/W2948869229","https://openalex.org/W2979425006","https://openalex.org/W2988915532","https://openalex.org/W3002330681","https://openalex.org/W3014988774","https://openalex.org/W3100576803","https://openalex.org/W3103231465","https://openalex.org/W3133347443","https://openalex.org/W4300782170","https://openalex.org/W6712629308","https://openalex.org/W6773395774"],"related_works":["https://openalex.org/W2026046761","https://openalex.org/W2070147537","https://openalex.org/W3042240372","https://openalex.org/W4235735989","https://openalex.org/W1998962249","https://openalex.org/W2257183258","https://openalex.org/W4229505676","https://openalex.org/W3147354785","https://openalex.org/W2355288082","https://openalex.org/W4319587103"],"abstract_inverted_index":{"We":[0],"demonstrate":[1],"a":[2,6,70],"new":[3],"idea":[4],"of":[5,72],"parallel":[7],"GPU":[8],"JSON":[9],"parser,":[10],"which":[11,36],"is":[12,44],"able":[13],"to":[14,46],"optimize":[15],"the":[16],"parsing":[17],"and":[18,55],"initial":[19],"transformation":[20],"process":[21],"through":[22],"metaprogramming.":[23],"It":[24],"outperforms":[25],"other":[26],"well-known":[27],"solutions":[28],"like":[29],"simdjson,":[30],"Pandas,":[31],"as":[32,34],"well":[33],"cuDF\u2013":[35],"also":[37],"works":[38],"on":[39],"GPU.":[40],"The":[41],"resulting":[42],"data":[43,52],"ready":[45],"be":[47,57,69],"further":[48],"processed":[49],"in":[50],"common":[51],"frame":[53],"formats":[54],"may":[56],"incorporated":[58],"by":[59],"RAPIDS,":[60],"Apache":[61],"Arrow":[62],"or":[63],"Pandas.":[64],"Our":[65],"parser":[66],"can":[67],"therefore":[68],"part":[71],"an":[73],"industrial":[74],"Extract-Transform-Load":[75],"workflow.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}