{"id":"https://openalex.org/W2583248453","doi":"https://doi.org/10.1109/bigdata.2016.7840756","title":"Mini-apps for high performance data analysis","display_name":"Mini-apps for high performance data analysis","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2583248453","doi":"https://doi.org/10.1109/bigdata.2016.7840756","mag":"2583248453"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5079418386","display_name":"Sreenivas R. Sukumar","orcid":"https://orcid.org/0000-0003-4031-2888"},"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":"Sreenivas R. Sukumar","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, TN, US"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, TN, US","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012951247","display_name":"Michael A. Matheson","orcid":"https://orcid.org/0000-0003-1512-5255"},"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":"Michael A. Matheson","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, TN, United States of America"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, TN, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014168997","display_name":"Ramakrishnan Kannan","orcid":"https://orcid.org/0000-0002-5852-4806"},"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":"Ramakrishnan Kannan","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, TN, United States of America"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, TN, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","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, Oak Ridge, TN, United States of America"],"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, TN, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079418386"],"corresponding_institution_ids":["https://openalex.org/I1289243028"],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91113692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1483","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9904000163078308,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9904000163078308,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9783999919891357,"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":0.7416301369667053},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3311305046081543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416301369667053},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3311305046081543}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2016.7840756","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840756","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W36826159","https://openalex.org/W2009537245","https://openalex.org/W2016311778","https://openalex.org/W2035221445","https://openalex.org/W2055681363","https://openalex.org/W2095954861","https://openalex.org/W2109722477","https://openalex.org/W2113640782","https://openalex.org/W2142827986","https://openalex.org/W2203470973","https://openalex.org/W2285339552","https://openalex.org/W2464996709","https://openalex.org/W2511045189","https://openalex.org/W2524210471","https://openalex.org/W2741058217","https://openalex.org/W6676367512","https://openalex.org/W6727424846"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Scaling-up":[0],"scientific":[1],"data":[2,97,161,185],"analysis":[3,24,72,98,143,162],"and":[4,35,53,67,74,117,136,170,172],"machine":[5],"learning":[6],"algorithms":[7,43,73],"for":[8,23],"data-driven":[9],"discovery":[10],"is":[11,57],"a":[12,146,180],"grand":[13],"challenge":[14],"that":[15,28,153,164],"we":[16,88,130],"face":[17],"today.":[18],"Despite":[19],"the":[20,49,119,122,138,149,174,189],"growing":[21],"need":[22],"from":[25,33],"science":[26],"domains":[27],"are":[29,81],"generating":[30],"\u2018Big":[31,50],"Data\u2019":[32,51],"instruments":[34],"simulations,":[36],"building":[37],"high-performance":[38],"analytical":[39],"workflows":[40],"of":[41,71,95,103,121,133,140,148,191,195],"data-intensive":[42],"have":[44],"been":[45],"daunting":[46],"because:":[47],"(i)":[48,90,158],"hardware":[52,169],"software":[54],"architecture":[55],"landscape":[56],"constantly":[58],"evolving,":[59],"(ii)":[60,100,171],"newer":[61],"architectures":[62,80],"impose":[63],"new":[64],"programming":[65,108],"models,":[66],"(iii)":[68,115],"data-parallel":[69,93],"kernels":[70,94,105,123],"their":[75],"performance":[76,120],"facets":[77],"on":[78,166],"different":[79,107],"poorly":[82],"understood.":[83],"To":[84],"address":[85],"these":[86],"problems,":[87],"have:":[89],"identified":[91],"scalable":[92],"popular":[96],"algorithms,":[99],"implemented":[101],"\u2018Mini-Apps\u2019":[102],"those":[104,134],"using":[106],"models":[109],"(e.g.":[110],"Map":[111],"Reduce,":[112],"MPI,":[113],"etc.),":[114],"benchmarked":[116],"validated":[118],"in":[124],"diverse":[125],"architectures.":[126],"In":[127],"this":[128],"paper,":[129],"discuss":[131],"two":[132],"Mini-Apps":[135,154],"show":[137,152],"execution":[139],"principal":[141],"component":[142],"built":[144],"as":[145],"workflow":[147],"Mini-Apps.":[150],"We":[151],"enable":[155],"scientists":[156],"to":[157,183],"write":[159],"domain-specific":[160],"code":[163],"scales":[165],"most":[167],"HPC":[168],"offers":[173],"ability":[175],"(most":[176],"times":[177,188],"with":[178],"over":[179],"10x":[181],"speed-up)":[182],"analyze":[184],"sizes":[186],"100":[187],"size":[190],"what":[192],"off-the-shelf":[193],"desktop/workstations":[194],"today":[196],"can":[197],"handle.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
