{"id":"https://openalex.org/W4411486556","doi":"https://doi.org/10.1145/3695053.3731106","title":"RAP: Reconfigurable Automata Processor","display_name":"RAP: Reconfigurable Automata Processor","publication_year":2025,"publication_date":"2025-06-20","ids":{"openalex":"https://openalex.org/W4411486556","doi":"https://doi.org/10.1145/3695053.3731106"},"language":"en","primary_location":{"id":"doi:10.1145/3695053.3731106","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3695053.3731106","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3695053.3731106","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual International Symposium on Computer Architecture","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3695053.3731106","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5095829654","display_name":"Ziyuan Wen","orcid":"https://orcid.org/0000-0002-7081-0725"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyuan Wen","raw_affiliation_strings":["Rice University, Houston, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0002-7081-0725","affiliations":[{"raw_affiliation_string":"Rice University, Houston, Texas, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044196182","display_name":"Alexis Le Glaunec","orcid":"https://orcid.org/0000-0002-5444-5924"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexis Le Glaunec","raw_affiliation_strings":["Rice University, Houston, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0002-5444-5924","affiliations":[{"raw_affiliation_string":"Rice University, Houston, Texas, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052392314","display_name":"Konstantinos Mamouras","orcid":"https://orcid.org/0000-0003-1209-7738"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantinos Mamouras","raw_affiliation_strings":["Rice University, Houston, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0003-1209-7738","affiliations":[{"raw_affiliation_string":"Rice University, Houston, Texas, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076619099","display_name":"Kaiyuan Yang","orcid":"https://orcid.org/0000-0001-7220-9389"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaiyuan Yang","raw_affiliation_strings":["Rice University, Houston, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0001-7220-9389","affiliations":[{"raw_affiliation_string":"Rice University, Houston, Texas, USA","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":2.9894,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89157103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1140","last_page":"1154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998999834060669,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9986000061035156,"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":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7627962827682495},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.629357099533081},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4562777578830719},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.439698725938797},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3471205234527588},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2168603241443634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627962827682495},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.629357099533081},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4562777578830719},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.439698725938797},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3471205234527588},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2168603241443634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3695053.3731106","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3695053.3731106","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3695053.3731106","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual International Symposium on Computer Architecture","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3695053.3731106","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3695053.3731106","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3695053.3731106","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 52nd Annual International Symposium on Computer Architecture","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4367849889","display_name":"SHF: Medium: Efficient and Scalable Pattern Matching via Hardware-Software Co-Design","funder_award_id":"2313062","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G488906203","display_name":"CAREER: Reliable and Secure Minimally Invasive Bioelectronic Implants through Contextual Awareness","funder_award_id":"2146476","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411486556.pdf","grobid_xml":"https://content.openalex.org/works/W4411486556.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W104875954","https://openalex.org/W1980938256","https://openalex.org/W1981409766","https://openalex.org/W2030102079","https://openalex.org/W2058950969","https://openalex.org/W2062949766","https://openalex.org/W2072607050","https://openalex.org/W2077450865","https://openalex.org/W2077934944","https://openalex.org/W2087634916","https://openalex.org/W2141978748","https://openalex.org/W2155744824","https://openalex.org/W2293046879","https://openalex.org/W2434217241","https://openalex.org/W2529090470","https://openalex.org/W2619891821","https://openalex.org/W2758985339","https://openalex.org/W2761924149","https://openalex.org/W2766073137","https://openalex.org/W2775094033","https://openalex.org/W2794757234","https://openalex.org/W2903717232","https://openalex.org/W2945350303","https://openalex.org/W2949869837","https://openalex.org/W2979735877","https://openalex.org/W2987654321","https://openalex.org/W2988640543","https://openalex.org/W3010779417","https://openalex.org/W3011089747","https://openalex.org/W3016919608","https://openalex.org/W3034732732","https://openalex.org/W3083200476","https://openalex.org/W3205889289","https://openalex.org/W3216568532","https://openalex.org/W4225350157","https://openalex.org/W4281617381","https://openalex.org/W4281667938","https://openalex.org/W4282041904","https://openalex.org/W4319870577","https://openalex.org/W4322764349","https://openalex.org/W4362677176","https://openalex.org/W4394999076","https://openalex.org/W4403223278","https://openalex.org/W4406754062"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Regular":[0],"pattern":[1,67],"matching":[2,68],"is":[3,97,144],"essential":[4],"for":[5,38,64,95,116,140],"applications":[6],"such":[7],"as":[8,135],"text":[9],"processing,":[10],"malware":[11],"detection,":[12],"network":[13],"security,":[14],"and":[15,25,82,89,92,107,119,131,146,154],"bioinformatics.Recent":[16],"in-memory":[17,61],"automata":[18,62,114],"processors":[19,33,115],"have":[20],"significantly":[21],"advanced":[22],"the":[23,58],"energy":[24,105,133,149],"memory":[26],"efficiency":[27,106,134],"over":[28,121],"conventional":[29],"computing":[30],"platforms.However,":[31],"these":[32],"are":[34],"typically":[35],"optimized":[36,139],"only":[37],"one":[39],"type":[40],"of":[41],"automata,":[42],"limiting":[43],"their":[44],"capability":[45],"to":[46,112],"efficiently":[47],"support":[48],"regex":[49],"processing":[50],"under":[51],"diverse":[52,70,122],"real-world":[53,123],"workloads.This":[54],"paper":[55],"presents":[56],"RAP,":[57],"first":[59],"reconfigurable":[60,87],"processor":[63],"efficient":[65,150],"regular":[66],"across":[69],"workloads.It":[71],"supports":[72],"Nondeterministic":[73,77],"Finite":[74],"Automata":[75,80],"(NFA),":[76],"Bit":[78],"Vector":[79],"(NBVA),":[81],"Linear":[83],"NFA":[84,117],"(LNFA)":[85],"through":[86],"architecture":[88],"circuit":[90],"designs,":[91],"a":[93,137],"compiler":[94],"translation.RAP":[96],"evaluated":[98],"in":[99],"28nm":[100],"CMOS":[101],"PDK,":[102],"achieving":[103],"1.2-1.5\u00d7higher":[104],"1.3-2.5\u00d7higher":[108],"compute":[109,129],"density":[110,130],"compared":[111],"SotA":[113,138,152],"(CA":[118],"CAMA)":[120],"benchmarks.It":[124],"also":[125],"achieves":[126],"1.6\u00d7":[127],"higher":[128],"similar":[132],"BVAP,":[136],"bounded":[141],"repetitions.Finally,":[142],"RAP":[143],">100\u00d7":[145],">1000\u00d7":[147],"more":[148],"than":[151],"GPU":[153],"CPU":[155],"solutions.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
