{"id":"https://openalex.org/W2170707555","doi":"https://doi.org/10.1145/1367497.1367732","title":"Using graphics processors for high-performance IR query processing","display_name":"Using graphics processors for high-performance IR query processing","publication_year":2008,"publication_date":"2008-04-21","ids":{"openalex":"https://openalex.org/W2170707555","doi":"https://doi.org/10.1145/1367497.1367732","mag":"2170707555"},"language":"en","primary_location":{"id":"doi:10.1145/1367497.1367732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1367497.1367732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th international conference on World Wide Web","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/A5078621623","display_name":"Shuai Ding","orcid":"https://orcid.org/0009-0001-2744-3018"},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuai Ding","raw_affiliation_strings":["Polytechnic University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Polytechnic University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012143646","display_name":"Jinru He","orcid":null},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinru He","raw_affiliation_strings":["Polytechnic University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Polytechnic University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101914876","display_name":"Hao Yan","orcid":"https://orcid.org/0000-0002-7468-528X"},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yan","raw_affiliation_strings":["Polytechnic University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Polytechnic University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074323303","display_name":"Torsten Suel","orcid":"https://orcid.org/0000-0002-8324-980X"},"institutions":[{"id":"https://openalex.org/I90965887","display_name":"SUNY Polytechnic Institute","ror":"https://ror.org/000fxgx19","country_code":"US","type":"education","lineage":["https://openalex.org/I90965887"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Torsten Suel","raw_affiliation_strings":["Polytechnic University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Polytechnic University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I90965887"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078621623"],"corresponding_institution_ids":["https://openalex.org/I90965887"],"apc_list":null,"apc_paid":null,"fwci":14.0781,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.98811056,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1213","last_page":"1214"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9925000071525574,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9925000071525574,"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/T11106","display_name":"Data Management and Algorithms","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8545719981193542},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6162709593772888},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.5902395844459534},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.5784123539924622},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.52940833568573},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.4536712169647217},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.39885246753692627},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.33282288908958435},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.26833435893058777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8545719981193542},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6162709593772888},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.5902395844459534},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.5784123539924622},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.52940833568573},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.4536712169647217},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.39885246753692627},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33282288908958435},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.26833435893058777}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/1367497.1367732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1367497.1367732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th international conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.173.5015","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.173.5015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://koala.poly.edu/resume_ShuaiDing.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.173.5294","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.173.5294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://koala.poly.edu/GPU.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.215.4919","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.215.4919","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2009.org/proceedings/pdf/p421.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.401.1023","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.1023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2008.org/papers/pdf/p1213-ding.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.501.3300","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.501.3300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cis.poly.edu/~suel/papers/gpu-poster.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W142762403","https://openalex.org/W1482214997","https://openalex.org/W1495124840","https://openalex.org/W1595783387","https://openalex.org/W2016559894","https://openalex.org/W2026095310","https://openalex.org/W2050277572","https://openalex.org/W2051793914","https://openalex.org/W2054468361","https://openalex.org/W2066636486","https://openalex.org/W2072156548","https://openalex.org/W2076471773","https://openalex.org/W2108157916","https://openalex.org/W2125203709","https://openalex.org/W2127766448","https://openalex.org/W2127899914","https://openalex.org/W2129817042","https://openalex.org/W2134008688","https://openalex.org/W2138662031","https://openalex.org/W2140453381","https://openalex.org/W2154610494","https://openalex.org/W2161061943","https://openalex.org/W2576116471","https://openalex.org/W2808376720"],"related_works":["https://openalex.org/W2384867379","https://openalex.org/W3214280620","https://openalex.org/W2329539859","https://openalex.org/W3191490922","https://openalex.org/W2227905990","https://openalex.org/W2765823764","https://openalex.org/W2794038527","https://openalex.org/W2151092287","https://openalex.org/W2523801036","https://openalex.org/W2073684863"],"abstract_inverted_index":{"Web":[0],"search":[1],"engines":[2,29],"are":[3],"facing":[4],"formidable":[5],"performance":[6],"challenges":[7],"as":[8],"they":[9],"need":[10],"to":[11],"process":[12],"thousands":[13,35],"of":[14,20,34,36],"queries":[15],"per":[16],"second":[17],"over":[18],"billions":[19],"documents.":[21],"To":[22],"deal":[23],"with":[24],"this":[25],"heavy":[26],"workload,":[27],"current":[28],"use":[30],"massively":[31],"parallel":[32],"architectures":[33],"machines":[37],"that":[38],"require":[39],"large":[40],"hardware":[41],"investments.":[42]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}