{"id":"https://openalex.org/W2899673449","doi":"https://doi.org/10.1145/3281464.3281467","title":"In situ data-driven adaptive sampling for large-scale simulation data summarization","display_name":"In situ data-driven adaptive sampling for large-scale simulation data summarization","publication_year":2018,"publication_date":"2018-11-07","ids":{"openalex":"https://openalex.org/W2899673449","doi":"https://doi.org/10.1145/3281464.3281467","mag":"2899673449"},"language":"en","primary_location":{"id":"doi:10.1145/3281464.3281467","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3281464.3281467","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3281464.3281467","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3281464.3281467","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076860785","display_name":"Ayan Biswas","orcid":"https://orcid.org/0000-0002-5535-4549"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayan Biswas","raw_affiliation_strings":["Los Alamos National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088361669","display_name":"Soumya Dutta","orcid":"https://orcid.org/0000-0001-5030-9979"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumya Dutta","raw_affiliation_strings":["Los Alamos National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030549072","display_name":"Jesus Pulido","orcid":"https://orcid.org/0000-0002-9010-7762"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jesus Pulido","raw_affiliation_strings":["Los Alamos National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000687536","display_name":"James Ahrens","orcid":"https://orcid.org/0000-0001-9378-282X"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Ahrens","raw_affiliation_strings":["Los Alamos National Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9624999761581421,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8269985318183899},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7738099694252014},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.7309510707855225},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6754268407821655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6435568332672119},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6109651923179626},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5452350974082947},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5125246047973633},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.49190711975097656},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.48123764991760254},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2130613625049591},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14208078384399414},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.08478912711143494},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08427736163139343}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8269985318183899},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7738099694252014},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7309510707855225},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6754268407821655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6435568332672119},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6109651923179626},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5452350974082947},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5125246047973633},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.49190711975097656},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.48123764991760254},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2130613625049591},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14208078384399414},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.08478912711143494},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08427736163139343},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3281464.3281467","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3281464.3281467","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3281464.3281467","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3281464.3281467","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3281464.3281467","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3281464.3281467","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3232922872","display_name":null,"funder_award_id":"17-SC-20-SC","funder_id":"https://openalex.org/F4320332369","funder_display_name":"National Nuclear Security Administration"},{"id":"https://openalex.org/G6859237865","display_name":null,"funder_award_id":"17-SC-20-SC","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G8253304997","display_name":null,"funder_award_id":"17-SC-20-SC","funder_id":"https://openalex.org/F4320332359","funder_display_name":"Office of Science"},{"id":"https://openalex.org/G8794501934","display_name":null,"funder_award_id":"17-SC-20-SC","funder_id":"https://openalex.org/F4320337674","funder_display_name":"Wind Energy Technologies Office"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"},{"id":"https://openalex.org/F4320332369","display_name":"National Nuclear Security Administration","ror":"https://ror.org/03sk1we31"},{"id":"https://openalex.org/F4320337674","display_name":"Wind Energy Technologies Office","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899673449.pdf","grobid_xml":"https://content.openalex.org/works/W2899673449.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W118291038","https://openalex.org/W1963835219","https://openalex.org/W1984745448","https://openalex.org/W1987698555","https://openalex.org/W1988100325","https://openalex.org/W1999354630","https://openalex.org/W2021743708","https://openalex.org/W2028705462","https://openalex.org/W2032558547","https://openalex.org/W2042898098","https://openalex.org/W2092262344","https://openalex.org/W2098642746","https://openalex.org/W2099272828","https://openalex.org/W2141981986","https://openalex.org/W2185198135","https://openalex.org/W2248320453","https://openalex.org/W2412744095","https://openalex.org/W2509745984","https://openalex.org/W2551427248","https://openalex.org/W2754777568","https://openalex.org/W2807138665","https://openalex.org/W2950976821","https://openalex.org/W3104308872","https://openalex.org/W4249604285","https://openalex.org/W4250787534","https://openalex.org/W4292909728","https://openalex.org/W4300848163","https://openalex.org/W4301359866"],"related_works":["https://openalex.org/W2381228797","https://openalex.org/W2754777568","https://openalex.org/W2353109336","https://openalex.org/W2967464486","https://openalex.org/W2035793546","https://openalex.org/W4241748184","https://openalex.org/W3199884526","https://openalex.org/W2099181838","https://openalex.org/W19002002","https://openalex.org/W2899673449"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,13,70,79,122],"high-performance":[3],"computing":[4],"have":[5],"enabled":[6],"scientists":[7,162],"to":[8,34,45,49,57,73,113,134],"model":[9],"various":[10,147],"scientific":[11],"phenomena":[12],"great":[14],"detail.":[15],"However,":[16],"the":[17,22,59,63,74,115,118,126,135,143,157,161],"analysis":[18,171],"and":[19,38,65,105,141,150],"visualization":[20],"of":[21,62,89,117,125,145,155],"output":[23],"data":[24,64,102],"from":[25],"such":[26,84,93],"large-scale":[27],"simulations":[28],"are":[29],"posing":[30],"significant":[31],"challenges":[32],"due":[33],"their":[35,170],"excessive":[36],"size":[37,71],"disk":[39],"I/O":[40],"bottlenecks.":[41],"One":[42],"viable":[43],"solution":[44],"this":[46,96],"problem":[47],"is":[48,55,67,88,129],"create":[50],"a":[51,152],"sub-sampled":[52,86],"dataset":[53],"which":[54],"able":[56],"preserve":[58],"important":[60],"information":[61],"also":[66],"significantly":[68],"smaller":[69],"compared":[72],"raw":[75],"data.":[76],"Creating":[77],"an":[78,100],"situ":[80,123],"workflow":[81],"for":[82,92],"generating":[83],"intelligently":[85],"datasets":[87],"prime":[90],"importance":[91],"simulations.":[94],"In":[95],"work,":[97],"we":[98],"propose":[99],"information-driven":[101],"sampling":[103,111,148,166],"technique":[104],"compare":[106,140],"it":[107,133],"with":[108],"two":[109],"well-known":[110],"methods":[112,158],"demonstrate":[114],"superiority":[116],"proposed":[119,127],"method.":[120],"The":[121],"performance":[124,144],"method":[128],"evaluated":[130],"by":[131],"applying":[132],"Nyx":[136],"Cosmology":[137],"simulation.":[138],"We":[139],"contrast":[142],"these":[146],"algorithms":[149],"provide":[151],"holistic":[153],"view":[154],"all":[156],"so":[159],"that":[160],"can":[163],"choose":[164],"appropriate":[165],"schemes":[167],"based":[168],"on":[169],"requirements.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
