{"id":"https://openalex.org/W3048091332","doi":"https://doi.org/10.1145/3404397.3404468","title":"Toward Large-Scale Image Segmentation on Summit","display_name":"Toward Large-Scale Image Segmentation on Summit","publication_year":2020,"publication_date":"2020-08-09","ids":{"openalex":"https://openalex.org/W3048091332","doi":"https://doi.org/10.1145/3404397.3404468","mag":"3048091332"},"language":"en","primary_location":{"id":"doi:10.1145/3404397.3404468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404397.3404468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th International Conference on Parallel Processing - ICPP","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/1665994","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039319913","display_name":"Sudip K. Seal","orcid":"https://orcid.org/0000-0003-3233-0656"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sudip K. Seal","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029824262","display_name":"Seung\u2013Hwan Lim","orcid":"https://orcid.org/0000-0001-9461-6866"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung-Hwan Lim","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543640","display_name":"Dali Wang","orcid":"https://orcid.org/0000-0001-6806-5108"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dali Wang","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039044523","display_name":"Jacob Hinkle","orcid":"https://orcid.org/0000-0002-7751-1760"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Hinkle","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083948807","display_name":"Dalton Lunga","orcid":"https://orcid.org/0000-0003-0054-1141"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dalton Lunga","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113966940","display_name":"Aristeidis Tsaris","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aristeidis Tsaris","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039319913"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":0.3925,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61927002,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8545404076576233},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.8485557436943054},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.7243620157241821},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5823435187339783},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5506424903869629},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.543834388256073},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5227565765380859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4877782464027405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4676458537578583},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43345725536346436},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4261699914932251},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.38780444860458374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8545404076576233},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8485557436943054},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.7243620157241821},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5823435187339783},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5506424903869629},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.543834388256073},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5227565765380859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4877782464027405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4676458537578583},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43345725536346436},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4261699914932251},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.38780444860458374},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3404397.3404468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404397.3404468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"49th International Conference on Parallel Processing - ICPP","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:1665994","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1665994","pdf_url":"https://www.osti.gov/servlets/purl/1665994","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1665994","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1665994","pdf_url":"https://www.osti.gov/servlets/purl/1665994","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3048091332.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2338908902","https://openalex.org/W2774320778","https://openalex.org/W2884436604","https://openalex.org/W2912269676","https://openalex.org/W2962914239","https://openalex.org/W2969388332","https://openalex.org/W2983101505","https://openalex.org/W3020605687","https://openalex.org/W6812258972"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2027972911","https://openalex.org/W4255172949","https://openalex.org/W2499279132","https://openalex.org/W2048582679","https://openalex.org/W2782226720","https://openalex.org/W3155846967"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1],"of":[2,15,65,91,100,140,148,155,179,183,194,215,241],"images":[3,81],"is":[4,82,122,164],"an":[5,107,152,177],"important":[6],"computer":[7,103],"vision":[8,23,104],"task":[9],"that":[10,50,62],"emerges":[11],"in":[12,171],"a":[13,29,92,97,145,156,173,220],"variety":[14],"application":[16],"domains":[17],"such":[18],"as":[19],"medical":[20],"imaging,":[21],"robotic":[22],"and":[24,85,126,130,199,224],"autonomous":[25],"vehicles":[26],"to":[27,52,112,166,202,228],"name":[28],"few.":[30],"While":[31],"these":[32,209],"domain-specific":[33],"image":[34,40,58,119],"analysis":[35],"tasks":[36],"involve":[37],"relatively":[38],"small":[39],"sizes":[41],"(\u223c":[42,68],"102":[43],"\u00d7":[44,70],"102),":[45],"there":[46],"are":[47,63,128,197,206],"many":[48],"applications":[49],"need":[51],"train":[53,113,230],"machine":[54],"learning":[55],"models":[56,77,115,196,232],"on":[57,78,116,135,238],"data":[59,120,225,239],"with":[60,176,233],"extents":[61],"orders":[64],"magnitude":[66,180],"larger":[67,181],"104":[69],"104).":[71],"Training":[72],"deep":[73],"neural":[74],"network":[75],"(DNN)":[76],"large":[79,117,235],"extent":[80,118,243],"extremely":[83],"memory-intensive":[84],"often":[86],"exceeds":[87],"the":[88,141,149,204,213],"memory":[89],"limitations":[90,127],"single":[93,146],"graphical":[94],"processing":[95],"unit,":[96],"hardware":[98],"accelerator":[99],"choice":[101],"for":[102,191],"workloads.":[105],"Here,":[106],"efficient,":[108],"sample":[109],"parallel":[110,160,226],"approach":[111],"U-Net":[114,174,195,231],"sets":[121,240],"presented.":[123],"Its":[124],"advantages":[125],"analyzed":[129],"near-linear":[131],"strong-scaling":[132],"speedup":[133,170],"demonstrated":[134,165],"256":[136],"nodes":[137],"(1536":[138],"GPUs)":[139],"Summit":[142,150],"supercomputer.":[143],"Using":[144],"node":[147],"supercomputer,":[151],"early":[153],"evaluation":[154],"recently":[157],"released":[158],"model":[159,175],"framework":[161],"called":[162],"GPipe":[163],"deliver":[167],"\u223c":[168],"2X":[169],"executing":[172],"order":[178],"number":[182],"trainable":[184],"parameters":[185],"than":[186],"reported":[187],"before.":[188],"Performance":[189],"bottlenecks":[190],"pipelined":[192,223],"training":[193],"identified":[198],"mitigation":[200],"strategies":[201],"improve":[203],"speedups":[205],"discussed.":[207],"Together,":[208],"results":[210],"open":[211],"up":[212],"possibility":[214],"combining":[216],"both":[217],"approaches":[218],"into":[219],"unified":[221],"scalable":[222],"algorithm":[227],"efficiently":[229],"very":[234],"receptive":[236],"fields":[237],"ultra-large":[242],"images.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
