{"id":"https://openalex.org/W2528993343","doi":"https://doi.org/10.1109/dsmp.2016.7583516","title":"Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization","display_name":"Accelerating recurrent neural network training using sequence bucketing and multi-GPU data parallelization","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2528993343","doi":"https://doi.org/10.1109/dsmp.2016.7583516","mag":"2528993343"},"language":"en","primary_location":{"id":"doi:10.1109/dsmp.2016.7583516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2016.7583516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE First International Conference on Data Stream Mining &amp; Processing (DSMP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.05604","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Viacheslav Khomenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Viacheslav Khomenko","raw_affiliation_strings":["Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Oleg Shyshkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oleg Shyshkov","raw_affiliation_strings":["Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Olga Radyvonenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Olga Radyvonenko","raw_affiliation_strings":["Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Kostiantyn Bokhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kostiantyn Bokhan","raw_affiliation_strings":["Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Samsung R&D Institute Ukraine (SRK), Kyiv, Ukraine","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8676,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.90603706,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9970999956130981,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9970999956130981,"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/sequence","display_name":"Sequence (biology)","score":0.7099000215530396},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6996999979019165},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6660000085830688},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6391000151634216},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5343000292778015},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.5056999921798706},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43939998745918274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4106000065803528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165000081062317},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7099000215530396},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6996999979019165},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6660000085830688},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6391000151634216},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5343000292778015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5212000012397766},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.5056999921798706},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4106000065803528},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40549999475479126},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3808000087738037},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35910001397132874},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.3246999979019165},{"id":"https://openalex.org/C3020136221","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time sequence","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3095000088214874},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2922999858856201},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.257099986076355}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsmp.2016.7583516","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp.2016.7583516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE First International Conference on Data Stream Mining &amp; Processing (DSMP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.05604","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.05604","pdf_url":"https://arxiv.org/pdf/1708.05604","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.05604","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.05604","pdf_url":"https://arxiv.org/pdf/1708.05604","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1064203140","https://openalex.org/W1576227399","https://openalex.org/W2008398646","https://openalex.org/W2042524007","https://openalex.org/W2127141656","https://openalex.org/W2136848157","https://openalex.org/W2139622435","https://openalex.org/W2144012961","https://openalex.org/W2147510700","https://openalex.org/W2296073425","https://openalex.org/W2403274071","https://openalex.org/W2963077125","https://openalex.org/W2964325005","https://openalex.org/W6600284362","https://openalex.org/W6634906388","https://openalex.org/W6640212811","https://openalex.org/W6684249991","https://openalex.org/W6684575925","https://openalex.org/W6684859321","https://openalex.org/W6685336647","https://openalex.org/W6710709672","https://openalex.org/W6917638038"],"related_works":[],"abstract_inverted_index":{"An":[0,69],"efficient":[1],"algorithm":[2],"for":[3,16,63,73],"recurrent":[4,82],"neural":[5,83],"network":[6],"training":[7,14,52],"is":[8,31,57,71,87],"presented.":[9],"The":[10,28,50,85],"approach":[11,30],"increases":[12],"the":[13,22,34,60,74,92],"speed":[15],"tasks":[17],"where":[18],"a":[19,64],"length":[20,41],"of":[21,67,91,97],"input":[23,39],"sequence":[24,40,55],"may":[25],"vary":[26],"significantly.":[27],"proposed":[29,61],"based":[32],"on":[33,45],"optimal":[35],"batch":[36],"bucketing":[37,56],"by":[38],"and":[42,99],"data":[43],"parallelization":[44],"multiple":[46],"graphical":[47],"processing":[48],"units.":[49],"baseline":[51],"performance":[53],"without":[54],"compared":[58],"with":[59],"solution":[62],"different":[65],"number":[66,96],"buckets.":[68],"example":[70],"given":[72],"online":[75],"handwriting":[76],"recognition":[77],"task":[78],"using":[79],"an":[80],"LSTM":[81],"network.":[84],"evaluation":[86],"performed":[88],"in":[89],"terms":[90],"wall":[93],"clock":[94],"time,":[95],"epochs,":[98],"validation":[100],"loss":[101],"value.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2016-10-14T00:00:00"}
