{"id":"https://openalex.org/W2014401886","doi":"https://doi.org/10.1145/2641361.2641370","title":"A hybrid CPU-FPGA system for high throughput (10Gb/s) streaming document classification","display_name":"A hybrid CPU-FPGA system for high throughput (10Gb/s) streaming document classification","publication_year":2013,"publication_date":"2013-12-18","ids":{"openalex":"https://openalex.org/W2014401886","doi":"https://doi.org/10.1145/2641361.2641370","mag":"2014401886"},"language":"en","primary_location":{"id":"doi:10.1145/2641361.2641370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2641361.2641370","pdf_url":null,"source":{"id":"https://openalex.org/S4210193905","display_name":"ACM SIGARCH Computer Architecture News","issn_l":"0163-5964","issn":["0163-5964","1943-5851"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320740","host_organization_name":"ACM SIGARCH","host_organization_lineage":["https://openalex.org/P4310320740"],"host_organization_lineage_names":["ACM SIGARCH"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGARCH Computer Architecture News","raw_type":"journal-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/A5047735250","display_name":"Wim Vanderbauwhede","orcid":"https://orcid.org/0000-0001-6768-0037"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wim Vanderbauwhede","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom","University of Glasgow, Glasgow, United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom#TAB#","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037781434","display_name":"Anton Frolov","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anton Frolov","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom","University of Glasgow, Glasgow, United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom#TAB#","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079257666","display_name":"Sai Rahul Chalamalasetti","orcid":"https://orcid.org/0000-0001-9004-440X"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sai Rahul Chalamalasetti","raw_affiliation_strings":["Hewlett Packard, Houston, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hewlett Packard, Houston, TX","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062664944","display_name":"Martin Margala","orcid":"https://orcid.org/0000-0002-0034-0369"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin Margala","raw_affiliation_strings":["University of Massachusetts Lowell, Lowell, MA","University of Massachusetts Lowell, Lowell, MA,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell, Lowell, MA","institution_ids":["https://openalex.org/I133738476"]},{"raw_affiliation_string":"University of Massachusetts Lowell, Lowell, MA,","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9883,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82071785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"41","issue":"5","first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983000159263611,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/computer-science","display_name":"Computer science","score":0.7977465987205505},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.793091893196106},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6449211835861206},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6002389192581177},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5572460889816284},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.41803738474845886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34756308794021606},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3456229567527771},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3238331079483032},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32094597816467285},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2269827127456665},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18608811497688293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977465987205505},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.793091893196106},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6449211835861206},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6002389192581177},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5572460889816284},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.41803738474845886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34756308794021606},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3456229567527771},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3238331079483032},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32094597816467285},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2269827127456665},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18608811497688293},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2641361.2641370","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2641361.2641370","pdf_url":null,"source":{"id":"https://openalex.org/S4210193905","display_name":"ACM SIGARCH Computer Architecture News","issn_l":"0163-5964","issn":["0163-5964","1943-5851"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320740","host_organization_name":"ACM SIGARCH","host_organization_lineage":["https://openalex.org/P4310320740"],"host_organization_lineage_names":["ACM SIGARCH"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGARCH Computer Architecture News","raw_type":"journal-article"},{"id":"pmh:oai:eprints.gla.ac.uk:98602","is_oa":false,"landing_page_url":"http://eprints.gla.ac.uk/98602/","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W57814663","https://openalex.org/W594283781","https://openalex.org/W1970492294","https://openalex.org/W2038682543","https://openalex.org/W2043120383","https://openalex.org/W2060204338","https://openalex.org/W2078242255","https://openalex.org/W2106365165","https://openalex.org/W4388892785"],"related_works":["https://openalex.org/W1002902646","https://openalex.org/W2002703587","https://openalex.org/W3217667592","https://openalex.org/W2980006224","https://openalex.org/W2063534976","https://openalex.org/W1592815152","https://openalex.org/W2284838239","https://openalex.org/W2142497937","https://openalex.org/W2320205417","https://openalex.org/W2400714260"],"abstract_inverted_index":{"Processing":[0],"large":[1,9],"volumes":[2],"of":[3,11,19,27,48,50],"information":[4,32],"in":[5,24,103],"real":[6,104],"time":[7],"requires":[8],"amounts":[10],"computational":[12],"power,":[13],"which":[14],"consumes":[15],"a":[16,37,41,66,86],"significant":[17],"amount":[18,26],"energy.":[20],"With":[21],"the":[22,25,62,73,91,111,117,120],"rise":[23],"data":[28],"produced,":[29],"energy-efficient":[30],"high-performance":[31],"processing":[33],"systems":[34],"are":[35],"becoming":[36],"necessity.":[38],"We":[39],"present":[40],"hybrid":[42],"CPU-FPGA":[43],"system":[44,60],"for":[45],"high-throughput":[46],"classification":[47,71],"streams":[49],"textual":[51],"documents":[52],"(e.g.":[53],"emails":[54],"or":[55],"web":[56],"pages).":[57],"The":[58],"current":[59,96],"parses":[61],"document":[63],"stream":[64,75],"using":[65,76],"multicore":[67],"CPU":[68],"and":[69],"performs":[70],"on":[72,90],"parsed":[74],"Field-Programmable":[77],"Gate":[78],"Arrays":[79],"(FPGAs).":[80],"As":[81],"an":[82],"example,":[83],"we":[84],"demonstrate":[85],"Naive":[87],"Bayes":[88],"classifier":[89],"TREC":[92],"Aquaint":[93],"dataset.":[94],"Our":[95,106],"solution":[97],"can":[98],"classify":[99],"10Gb/s":[100],"internet":[101],"traffic":[102],"time.":[105],"aim":[107],"is":[108],"to":[109,113],"increase":[110],"throughput":[112],"100Gb/s":[114],"by":[115],"incorporating":[116],"parser":[118],"into":[119],"FPGA":[121],"design.":[122]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
