{"id":"https://openalex.org/W2753248363","doi":"https://doi.org/10.1109/snpd.2017.8022746","title":"Architecture of an FPGA accelerator for LDA-based inference","display_name":"Architecture of an FPGA accelerator for LDA-based inference","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2753248363","doi":"https://doi.org/10.1109/snpd.2017.8022746","mag":"2753248363"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2017.8022746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2017.8022746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5043750405","display_name":"Taisuke Ono","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taisuke Ono","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058564631","display_name":"Hasitha Muthumala Waidyasooriya","orcid":"https://orcid.org/0000-0001-5108-9891"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hasitha Muthumala Waidyasooriya","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070647966","display_name":"Masanori Hariyama","orcid":"https://orcid.org/0000-0002-1464-8807"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanori Hariyama","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014294379","display_name":"Tsukasa Ishigaki","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Ishigaki","raw_affiliation_strings":["Graduate School of Economics and Management, Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Economics and Management, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12169523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"357","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9972000122070312,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9959999918937683,"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":0.8324058055877686},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.805245041847229},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6658745408058167},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.5656818747520447},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5345799922943115},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.4672778844833374},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.38164573907852173},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34229904413223267},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2775183320045471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24713134765625},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.21168950200080872}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8324058055877686},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.805245041847229},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6658745408058167},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.5656818747520447},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5345799922943115},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.4672778844833374},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.38164573907852173},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34229904413223267},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2775183320045471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24713134765625},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.21168950200080872},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd.2017.8022746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2017.8022746","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W2001082470","https://openalex.org/W2020999234","https://openalex.org/W2056760934","https://openalex.org/W2130416410","https://openalex.org/W2153029569","https://openalex.org/W2161050705","https://openalex.org/W2527797685","https://openalex.org/W4231510805","https://openalex.org/W6639619044","https://openalex.org/W6682524231"],"related_works":["https://openalex.org/W3107650560","https://openalex.org/W3126382579","https://openalex.org/W4317422773","https://openalex.org/W3123667230","https://openalex.org/W4315588616","https://openalex.org/W2810542905","https://openalex.org/W1967938402","https://openalex.org/W2386041993","https://openalex.org/W1608572506","https://openalex.org/W2160474882"],"abstract_inverted_index":{"Latent":[0],"Dirichlet":[1],"allocation":[2,54],"(LDA)":[3],"based":[4],"topic":[5,44],"inference":[6],"is":[7,13,25,65],"a":[8,48,68],"data":[9,19],"classification":[10],"method,":[11],"that":[12],"used":[14,41],"efficiently":[15],"for":[16,42],"extremely":[17],"large":[18,27],"sets.":[20],"However,":[21],"the":[22,30,35,43,83,95,100],"processing":[23],"time":[24],"very":[26],"due":[28],"to":[29,56,82,99],"serial":[31],"computational":[32],"behavior":[33],"of":[34,90],"Markov":[36],"Chain":[37],"Monte":[38],"Carlo":[39],"method":[40],"inference.":[45],"We":[46],"propose":[47],"pipelined":[49],"hardware":[50,70],"architecture":[51,64],"and":[52],"memory":[53],"scheme":[55],"accelerate":[57],"LDA":[58],"using":[59,77],"parallel":[60],"processing.":[61],"The":[62],"proposed":[63],"implemented":[66],"on":[67],"reconfigurable":[69],"called":[71],"FPGA":[72],"(field":[73],"programmable":[74],"gate":[75],"array),":[76],"OpenCL":[78],"design":[79],"environment.":[80],"According":[81],"experimental":[84],"results,":[85],"we":[86],"achieved":[87],"maximum":[88],"speed-up":[89],"2.38":[91],"times,":[92],"while":[93],"maintaining":[94],"same":[96],"quality":[97],"compared":[98],"conventional":[101],"CPU-based":[102],"implementation.":[103]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
