{"id":"https://openalex.org/W2973134322","doi":"https://doi.org/10.1109/hpec.2019.8916336","title":"Sparse Deep Neural Network Graph Challenge","display_name":"Sparse Deep Neural Network Graph Challenge","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2973134322","doi":"https://doi.org/10.1109/hpec.2019.8916336","mag":"2973134322"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2019.8916336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.05631","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jeremy Kepner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeremy Kepner","raw_affiliation_strings":["MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Simon Alford","orcid":null},"institutions":[{"id":"https://openalex.org/I1302918504","display_name":"Planetary Science Institute","ror":"https://ror.org/05vvg9554","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1302918504"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Alford","raw_affiliation_strings":["MIT Computer Science & AI Laboratory, Atmospheric, & Planetary Sciences"],"affiliations":[{"raw_affiliation_string":"MIT Computer Science & AI Laboratory, Atmospheric, & Planetary Sciences","institution_ids":["https://openalex.org/I1302918504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vijay Gadepally","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Gadepally","raw_affiliation_strings":["MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michael Jones","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Jones","raw_affiliation_strings":["MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lauren Milechin","orcid":null},"institutions":[{"id":"https://openalex.org/I1302918504","display_name":"Planetary Science Institute","ror":"https://ror.org/05vvg9554","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1302918504"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lauren Milechin","raw_affiliation_strings":["MIT Dept. of Earth, Atmospheric, & Planetary Sciences"],"affiliations":[{"raw_affiliation_string":"MIT Dept. of Earth, Atmospheric, & Planetary Sciences","institution_ids":["https://openalex.org/I1302918504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ryan Robinett","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110166","display_name":"Planetary Systems (United States)","ror":"https://ror.org/01yphfr75","country_code":"US","type":"company","lineage":["https://openalex.org/I4210110166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Robinett","raw_affiliation_strings":["MIT Mathematics Deparment, Atmospheric, & Planetary Sciences"],"affiliations":[{"raw_affiliation_string":"MIT Mathematics Deparment, Atmospheric, & Planetary Sciences","institution_ids":["https://openalex.org/I4210110166"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sid Samsi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sid Samsi","raw_affiliation_strings":["MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences"],"affiliations":[{"raw_affiliation_string":"MIT Lincoln Laboratory Supercomputing Center, Atmospheric, & Planetary Sciences","institution_ids":["https://openalex.org/I4210122954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210122954"],"apc_list":null,"apc_paid":null,"fwci":4.1952,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95351836,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9991000294685364,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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/mnist-database","display_name":"MNIST database","score":0.7218000292778015},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6822999715805054},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6407999992370605},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5986999869346619},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5422999858856201},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.508400022983551},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4544999897480011},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4512999951839447},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43059998750686646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015000224113464},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7218000292778015},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6822999715805054},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6407999992370605},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5986999869346619},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5422999858856201},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.508400022983551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5026000142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4991999864578247},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43059998750686646},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.4099999964237213},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39809998869895935},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3637000024318695},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C13251829","wikidata":"https://www.wikidata.org/wiki/Q3085841","display_name":"Dense graph","level":5,"score":0.33329999446868896},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.33329999446868896},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.30640000104904175},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.299699991941452},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2567000091075897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpec.2019.8916336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2019.8916336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.05631","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.05631","pdf_url":"https://arxiv.org/pdf/1909.05631","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:1909.05631","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.05631","pdf_url":"https://arxiv.org/pdf/1909.05631","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W14584031","https://openalex.org/W26556108","https://openalex.org/W1562536132","https://openalex.org/W1870868768","https://openalex.org/W1968774621","https://openalex.org/W1972250810","https://openalex.org/W1978460546","https://openalex.org/W2037531197","https://openalex.org/W2041823554","https://openalex.org/W2045031658","https://openalex.org/W2060064441","https://openalex.org/W2062231579","https://openalex.org/W2073869024","https://openalex.org/W2097117768","https://openalex.org/W2101927907","https://openalex.org/W2108598243","https://openalex.org/W2112984492","https://openalex.org/W2117539524","https://openalex.org/W2130325614","https://openalex.org/W2146320039","https://openalex.org/W2147270524","https://openalex.org/W2150485981","https://openalex.org/W2172654076","https://openalex.org/W2296412986","https://openalex.org/W2559678521","https://openalex.org/W2559690851","https://openalex.org/W2606722458","https://openalex.org/W2743799610","https://openalex.org/W2747404479","https://openalex.org/W2752751166","https://openalex.org/W2809429607","https://openalex.org/W2859678021","https://openalex.org/W2911296969","https://openalex.org/W2919115771","https://openalex.org/W2964217848","https://openalex.org/W3198350258","https://openalex.org/W4389158502","https://openalex.org/W6640289440","https://openalex.org/W6674330103","https://openalex.org/W6676231525","https://openalex.org/W6677103964","https://openalex.org/W6678583879","https://openalex.org/W6679718588","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6736385011","https://openalex.org/W6741094427","https://openalex.org/W6910447991"],"related_works":[],"abstract_inverted_index":{"The":[0,23,56,94,111,122],"MIT/IEEE/Amazon":[1],"GraphChallenge.org":[2],"encourages":[3],"community":[4],"approaches":[5],"to":[6,44,82,165],"developing":[7],"new":[8],"solutions":[9],"for":[10,130],"analyzing":[11],"graphs":[12],"and":[13,41,69,86,125,143,159,167,176,184,187,195],"sparse":[14,53,132,150],"data.":[15],"Sparse":[16,25,57,77],"AI":[17,54],"analytics":[18,43],"present":[19,174],"unique":[20],"scalability":[21],"difficulties.":[22],"proposed":[24,149],"Deep":[26],"Neural":[27],"Network":[28],"(DNN)":[29],"Challenge":[30,59],"draws":[31],"upon":[32],"prior":[33],"challenges":[34],"from":[35,117],"machine":[36],"learning,":[37],"high":[38],"performance":[39,100,189],"computing,":[40],"visual":[42],"create":[45],"a":[46,63,170],"challenge":[47,152],"that":[48,99,135],"is":[49,60,80,153],"reflective":[50],"of":[51,139,173],"emerging":[52],"systems.":[55,178],"DNN":[58,66,78,133,151],"based":[61,105],"on":[62,106],"mathematically":[64],"well-defined":[65],"inference":[67,79,134],"computation":[68],"can":[70,102,162],"be":[71,103,163],"implemented":[72,183],"in":[73,155],"any":[74],"programming":[75],"environment.":[76],"amenable":[81],"both":[83,140,156],"vertex-centric":[84],"implementations":[85,88,180],"array-based":[87],"(e.g.,":[89],"using":[90],"the":[91,118,128,141,144,148],"GraphBLAS.org":[92],"standard).":[93],"computations":[95],"are":[96,115,197],"simple":[97,107],"enough":[98],"predictions":[101],"made":[104],"computing":[108],"hardware":[109],"models.":[110],"input":[112,142],"data":[113],"sets":[114],"derived":[116],"MNIST":[119],"handwritten":[120],"letters.":[121],"surrounding":[123],"I/O":[124],"verification":[126],"provide":[127],"context":[129],"each":[131],"allows":[136],"rigorous":[137],"definition":[138],"output.":[145],"Furthermore,":[146],"since":[147],"scalable":[154],"problem":[157],"size":[158],"hardware,":[160],"it":[161],"used":[164],"measure":[166],"quantitatively":[168],"compare":[169],"wide":[171],"range":[172],"day":[175],"future":[177],"Reference":[179],"have":[181,190],"been":[182,191],"their":[185],"serial":[186],"parallel":[188],"measured.":[192],"Specifications,":[193],"data,":[194],"software":[196],"publicly":[198],"available":[199],"at":[200],"GraphChallenge.org.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-09-19T00:00:00"}
