乐胖代购免代理版

{"id":"https://openalex.org/W2117159302","doi":"https://doi.org/10.1109/ispass.2011.5762731","title":"Accelerating search and recognition workloads with SSE 4.2 string and text processing instructions","display_name":"Accelerating search and recognition workloads with SSE 4.2 string and text processing instructions","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2117159302","doi":"https://doi.org/10.1109/ispass.2011.5762731","mag":"2117159302"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2011.5762731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5009254187","display_name":"Guangyu Shi","orcid":"https://orcid.org/0000-0002-9326-9468"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"funder","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangyu Shi","raw_affiliation_strings":["University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070002661","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-3435-3897"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"funder","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052869119","display_name":"Mikko H. Lipasti","orcid":"https://orcid.org/0000-0002-8535-9244"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"funder","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikko Lipasti","raw_affiliation_strings":["University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.618,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.694128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":82,"max":83},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"153"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9993,"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":0.9993,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9974,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9918,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5852252},{"id":"https://openalex.org/keywords/simd","display_name":"SIMD","score":0.56549907},{"id":"https://openalex.org/keywords/text-processing","display_name":"Text processing","score":0.43813196},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4347458},{"id":"https://openalex.org/keywords/trie","display_name":"Trie","score":0.41973042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8790635},{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.648002},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5852252},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.56916034},{"id":"https://openalex.org/C150552126","wikidata":"https://www.wikidata.org/wiki/Q339387","display_name":"SIMD","level":2,"score":0.56549907},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5295668},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.51633704},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4888036},{"id":"https://openalex.org/C2779500292","wikidata":"https://www.wikidata.org/wiki/Q14802672","display_name":"Text processing","level":2,"score":0.43813196},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4347458},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.43252096},{"id":"https://openalex.org/C190290938","wikidata":"https://www.wikidata.org/wiki/Q387015","display_name":"Trie","level":3,"score":0.41973042},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.3984275},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2581132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2540748},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2476987},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.24691921},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispass.2011.5762731","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W1539221976","https://openalex.org/W1963217530","https://openalex.org/W2043215947","https://openalex.org/W2055043387","https://openalex.org/W2055666215","https://openalex.org/W2105427740","https://openalex.org/W2158714788","https://openalex.org/W2170825327","https://openalex.org/W2901608006","https://openalex.org/W4210727445","https://openalex.org/W4236236547","https://openalex.org/W73629738"],"related_works":["https://openalex.org/W4398785990","https://openalex.org/W4211205769","https://openalex.org/W3145288231","https://openalex.org/W2799512315","https://openalex.org/W2371263218","https://openalex.org/W2354196777","https://openalex.org/W2295483329","https://openalex.org/W2257399947","https://openalex.org/W2092552144","https://openalex.org/W2018448968"],"abstract_inverted_index":{"Today's":[0],"information":[1],"is":[2,79],"increasing":[3],"rapidly,":[4],"doubling":[5],"every":[6],"three":[7],"years.":[8],"Consequently,":[9],"the":[10,24,64,82,101,111,142],"search":[11,83,128],"and":[12,41,61,77,84,103,113,141],"recognition":[13,85],"stages":[14,86],"in":[15,35],"computer":[16],"applications":[17,89,123,144],"will":[18],"consume":[19],"a":[20,151],"growing":[21],"portion":[22],"of":[23,68,74,87,106,116,153],"total":[25],"CPU":[26,112],"time.":[27],"The":[28],"SSE":[29],"4.2":[30],"instruction":[31],"set,":[32],"first":[33],"implemented":[34],"Intel's":[36],"Core":[37],"i7,":[38],"provides":[39],"string":[40],"text":[42],"processing":[43,51],"instructions":[44,70],"(STTNI)":[45],"that":[46],"utilize":[47,91],"SIMD":[48],"operations":[49],"for":[50,57],"character":[52],"data.":[53],"Though":[54],"originally":[55],"conceived":[56],"accelerating":[58],"string,":[59],"text,":[60],"XML":[62],"processing,":[63],"powerful":[65],"new":[66,143],"capabilities":[67],"these":[69,75],"are":[71],"useful":[72],"outside":[73],"domains,":[76],"it":[78],"worth":[80],"revisiting":[81],"numerous":[88],"to":[90,93,109,155],"STTNI":[92,108],"improve":[94,110],"performance.":[95],"In":[96],"this":[97],"paper,":[98],"we":[99],"explored":[100],"feasibility":[102],"potential":[104],"benefit":[105],"using":[107],"memory":[114],"performance":[115],"search-and-recognition":[117],"applications.":[118],"We":[119],"optimized":[120],"four":[121],"benchmark":[122],"-":[124,138],"cache":[125],"simulation,":[126],"B+tree":[127],"algorithm,":[129],"template":[130],"matching,":[131],"Basic":[132],"Local":[133],"Alignment":[134],"Search":[135],"Tool":[136],"(BLAST)":[137],"with":[139],"STTNI,":[140],"outperform":[145],"their":[146],"respective":[147],"original":[148],"implementations":[149],"by":[150],"factor":[152],"1.4\u00d7":[154],"13\u00d7.":[156]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2117159302","counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-04-22T14:27:31.975514","created_date":"2016-06-24"}