{"id":"https://openalex.org/W4379115902","doi":"https://doi.org/10.23919/date56975.2023.10137044","title":"Pipe-BD: Pipelined Parallel Blockwise Distillation","display_name":"Pipe-BD: Pipelined Parallel Blockwise Distillation","publication_year":2023,"publication_date":"2023-04-01","ids":{"openalex":"https://openalex.org/W4379115902","doi":"https://doi.org/10.23919/date56975.2023.10137044"},"language":"en","primary_location":{"id":"doi:10.23919/date56975.2023.10137044","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5076710593","display_name":"Hongsun Jang","orcid":"https://orcid.org/0000-0003-4291-6124"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hongsun Jang","raw_affiliation_strings":["Seoul National University,Department of Electrical and Computer Engineering","Department of Electrical and Computer Engineering, Seoul National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Seoul National University","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060124284","display_name":"Jaewon Jung","orcid":"https://orcid.org/0000-0002-9081-685X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewon Jung","raw_affiliation_strings":["Yonsei University,Department of Artificial Intelligence","Department of Artificial Intelligence, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Artificial Intelligence","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101593827","display_name":"Jaeyong Song","orcid":"https://orcid.org/0000-0001-9976-7487"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaeyong Song","raw_affiliation_strings":["Yonsei University,Department of Computer Science","Department of Computer Science, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Computer Science","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Computer Science, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102372265","display_name":"Joonsang Yu","orcid":"https://orcid.org/0000-0002-9165-0572"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joonsang Yu","raw_affiliation_strings":["CLOVA Image Vision, CLOVA AI Lab, NAVER"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CLOVA Image Vision, CLOVA AI Lab, NAVER","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088551237","display_name":"Youngsok Kim","orcid":"https://orcid.org/0000-0002-1015-9969"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngsok Kim","raw_affiliation_strings":["Yonsei University,Department of Computer Science","Department of Computer Science, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Computer Science","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Computer Science, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447633","display_name":"Jinho Lee","orcid":"https://orcid.org/0000-0003-4010-6611"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinho Lee","raw_affiliation_strings":["Yonsei University,Department of Artificial Intelligence","Department of Artificial Intelligence, Yonsei University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Artificial Intelligence","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9973000288009644,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.8592331409454346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.833346962928772},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7693370580673218},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.7250351309776306},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6988356709480286},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5838756561279297},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.5093647241592407},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4928395748138428},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4170558452606201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4140048027038574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36627089977264404},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32026776671409607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.238066166639328},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08341389894485474},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07793906331062317}],"concepts":[{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.8592331409454346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.833346962928772},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7693370580673218},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.7250351309776306},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6988356709480286},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5838756561279297},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.5093647241592407},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4928395748138428},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4170558452606201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4140048027038574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36627089977264404},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32026776671409607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.238066166639328},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08341389894485474},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07793906331062317},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/date56975.2023.10137044","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/date56975.2023.10137044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/195391","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/195391","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2622263826","https://openalex.org/W2808373772","https://openalex.org/W2951104886","https://openalex.org/W2952904998","https://openalex.org/W2963163009","https://openalex.org/W2963959597","https://openalex.org/W2964259004","https://openalex.org/W2969388332","https://openalex.org/W2973727699","https://openalex.org/W2991040477","https://openalex.org/W3034528892","https://openalex.org/W3034756453","https://openalex.org/W3110978130","https://openalex.org/W3118608800","https://openalex.org/W3130673459","https://openalex.org/W4214549129","https://openalex.org/W4297775537","https://openalex.org/W4318541692","https://openalex.org/W6637373629","https://openalex.org/W6726983090","https://openalex.org/W6737664043","https://openalex.org/W6739622702","https://openalex.org/W6752515464","https://openalex.org/W6756718674","https://openalex.org/W6756887525","https://openalex.org/W6767997687"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2000785801","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2414054180"],"abstract_inverted_index":{"Training":[0],"large":[1,29],"deep":[2],"neural":[3],"network":[4],"models":[5],"is":[6,41,61,161],"highly":[7],"challenging":[8],"due":[9],"to":[10,129],"their":[11],"tremendous":[12],"computational":[13],"and":[14,86,117,156,167],"mem-ory":[15],"requirements.":[16],"Blockwise":[17],"distillation":[18,38],"provides":[19],"one":[20],"promising":[21],"method":[22,100],"towards":[23],"faster":[24],"convergence":[25],"by":[26],"splitting":[27],"a":[28,45,76,97,137],"model":[30,60],"into":[31],"multiple":[32,49,164],"smaller":[33],"models.":[34],"In":[35],"state-of-the-art":[36],"blockwise":[37,102,110,149],"methods,":[39],"training":[40],"performed":[42],"block-by-block":[43],"in":[44,75],"data-parallel":[46],"manner":[47],"using":[48],"GPUs.":[50],"To":[51,90],"produce":[52],"inputs":[53],"for":[54,101,109,122,132],"the":[55,58,64,67,145],"student":[56],"blocks,":[57],"teacher":[59,81,114],"executed":[62],"from":[63],"beginning":[65],"until":[66],"current":[68],"block":[69,115],"under":[70],"training.":[71],"However,":[72],"this":[73],"results":[74],"high":[77],"overhead":[78],"of":[79,148],"redundant":[80,113],"execution,":[82],"low":[83],"GPU":[84],"utilization,":[85],"extra":[87],"data":[88],"loading.":[89],"address":[91],"these":[92],"problems,":[93],"we":[94],"propose":[95],"Pipe-BD,":[96],"novel":[98],"parallelization":[99],"distillation.":[103,150],"Pipe-BD":[104,139,153,160],"aggressively":[105],"utilizes":[106],"pipeline":[107],"parallelism":[108,131],"distillation,":[111],"eliminating":[112],"execution":[116],"increasing":[118],"per-device":[119],"batch":[120],"size":[121],"better":[123],"resource":[124],"utilization.":[125],"We":[126,151],"also":[127],"extend":[128],"hybrid":[130],"efficient":[133],"workload":[134],"balancing.":[135],"As":[136],"result,":[138],"achieves":[140],"significant":[141],"acceleration":[142],"without":[143],"modifying":[144],"mathematical":[146],"formulation":[147],"implement":[152],"on":[154,163],"PyTorch,":[155],"experiments":[157],"reveal":[158],"that":[159],"effective":[162],"scenarios,":[165],"models,":[166],"datasets.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
