{"id":"https://openalex.org/W2101804802","doi":"https://doi.org/10.1145/1646468.1646482","title":"Many task computing for multidisciplinary ocean sciences","display_name":"Many task computing for multidisciplinary ocean sciences","publication_year":2009,"publication_date":"2009-11-16","ids":{"openalex":"https://openalex.org/W2101804802","doi":"https://doi.org/10.1145/1646468.1646482","mag":"2101804802"},"language":"en","primary_location":{"id":"doi:10.1145/1646468.1646482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1646468.1646482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers","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/A5090699270","display_name":"Constantinos Evangelinos","orcid":"https://orcid.org/0000-0002-7906-8651"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Constantinos Evangelinos","raw_affiliation_strings":["MIT, Cambridge, MA","MIT, Cambridge, Ma.#TAB#"],"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, Cambridge, Ma.#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062670983","display_name":"Pierre F. J. Lermusiaux","orcid":"https://orcid.org/0000-0002-1869-3883"},"institutions":[{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pierre F. J. Lermusiaux","raw_affiliation_strings":["MIT, Cambridge, MA","MIT, Cambridge, Ma.#TAB#"],"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, Cambridge, Ma.#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008601105","display_name":"Jinshan Xu","orcid":"https://orcid.org/0000-0002-7707-9074"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinshan Xu","raw_affiliation_strings":["MIT, Cambridge, MA","MIT, Cambridge, Ma.#TAB#"],"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, Cambridge, Ma.#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027146475","display_name":"Patrick J. Haley","orcid":"https://orcid.org/0000-0003-3034-7534"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick J. Haley","raw_affiliation_strings":["MIT, Cambridge, MA","MIT, Cambridge, Ma.#TAB#"],"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, Cambridge, Ma.#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009795502","display_name":"Chris Hill","orcid":"https://orcid.org/0000-0003-3417-9056"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210110987","display_name":"IIT@MIT","ror":"https://ror.org/01wp8zh54","country_code":"US","type":"facility","lineage":["https://openalex.org/I30771326","https://openalex.org/I4210110987"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris N. Hill","raw_affiliation_strings":["MIT, Cambridge, MA","MIT, Cambridge, Ma.#TAB#"],"affiliations":[{"raw_affiliation_string":"MIT, Cambridge, MA","institution_ids":["https://openalex.org/I4210110987"]},{"raw_affiliation_string":"MIT, Cambridge, Ma.#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090699270"],"corresponding_institution_ids":["https://openalex.org/I4210110987","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":5.3116,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95228664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9922000169754028,"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"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9922000169754028,"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/T10255","display_name":"Oceanographic and Atmospheric Processes","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9821000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7143011689186096},{"id":"https://openalex.org/keywords/data-assimilation","display_name":"Data assimilation","score":0.6982980966567993},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5667469501495361},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5532599091529846},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5031988024711609},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.4804689288139343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47994497418403625},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.4596303403377533},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.4570794403553009},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4481474757194519},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4159730076789856},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3554501533508301},{"id":"https://openalex.org/keywords/covariance-function","display_name":"Covariance function","score":0.3258824944496155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25095832347869873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23142927885055542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1672443151473999},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12422344088554382}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7143011689186096},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.6982980966567993},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5667469501495361},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5532599091529846},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5031988024711609},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.4804689288139343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47994497418403625},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.4596303403377533},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.4570794403553009},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4481474757194519},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4159730076789856},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3554501533508301},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.3258824944496155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25095832347869873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23142927885055542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1672443151473999},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12422344088554382},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1646468.1646482","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1646468.1646482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8799999952316284,"display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G4964196059","display_name":null,"funder_award_id":"N00014-08-1-1097N00014-07-1-0501N00014-08-1-0586","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W66799082","https://openalex.org/W81767933","https://openalex.org/W110825830","https://openalex.org/W259012431","https://openalex.org/W304861154","https://openalex.org/W1507709588","https://openalex.org/W1564461707","https://openalex.org/W1642251103","https://openalex.org/W1855324059","https://openalex.org/W1969082136","https://openalex.org/W1969083636","https://openalex.org/W1971419620","https://openalex.org/W1975183711","https://openalex.org/W2022264564","https://openalex.org/W2027570754","https://openalex.org/W2060408143","https://openalex.org/W2103803358","https://openalex.org/W2106086387","https://openalex.org/W2122512809","https://openalex.org/W2123134606","https://openalex.org/W2141702337","https://openalex.org/W2148317584","https://openalex.org/W2163265574","https://openalex.org/W2170355582","https://openalex.org/W2179229003","https://openalex.org/W2202109374","https://openalex.org/W2513572844"],"related_works":["https://openalex.org/W3196464345","https://openalex.org/W1983007452","https://openalex.org/W2417835091","https://openalex.org/W3119747810","https://openalex.org/W2517755966","https://openalex.org/W3198803053","https://openalex.org/W1463619200","https://openalex.org/W2078622645","https://openalex.org/W2090315216","https://openalex.org/W1991803138"],"abstract_inverted_index":{"Error":[0],"Subspace":[1],"Statistical":[2],"Estimation":[3],"(ESSE),":[4],"an":[5,34,42,51,73],"uncertainty":[6],"prediction":[7,23,101],"and":[8,22,102,111,172,187,211,223,234,237],"data":[9,84,174,184],"assimilation":[10],"methodology":[11],"employed":[12],"for":[13,83,99,132],"real-time":[14],"ocean":[15,88],"forecasts,":[16],"is":[17,29,81,116,170],"based":[18,49,128],"on":[19,50,129,218,231],"a":[20,117,167,181,199,214,219],"characterization":[21],"of":[24,37,44,53,63,75,104,120,136,144,152,159,162,203,213,226],"the":[25,54,60,64,76,93,100,105,137,153,160,163,208,224,235,238],"largest":[26],"uncertainties.":[27],"This":[28],"carried":[30],"out":[31],"by":[32],"evolving":[33],"error":[35,61,69,78],"subspace":[36,62],"variable":[38],"size.":[39],"We":[40],"use":[41],"ensemble":[43,143,164,177,202],"stochastic":[45,145],"model":[46,65,147],"simulations,":[47],"initialized":[48],"estimate":[52],"dominant":[55,68],"initial":[56,138],"uncertainties,":[57],"to":[58,95],"predict":[59],"fields.":[66],"The":[67,86],"covariance":[70,79,154],"(generated":[71],"via":[72],"SVD":[74,161],"ensemble-generated":[77],"matrix)":[80],"used":[82],"assimilation.":[85,175],"resulting":[87],"fields":[89],"are":[90,126],"provided":[91],"as":[92],"input":[94],"acoustic":[96,109],"modeling,":[97],"allowing":[98],"study":[103,207],"spatiotemporal":[106],"variations":[107],"in":[108],"propagation":[110,196],"their":[112],"uncertainties.The":[113],"ESSE":[114,216],"procedure":[115],"classic":[118],"case":[119],"Many":[121],"Task":[122],"Computing:":[123],"These":[124],"codes":[125],"managed":[127],"dynamic":[130,189],"workflows":[131],"the:":[133],"(i)":[134],"perturbation":[135],"mean":[139],"state,":[140],"(ii)":[141],"subsequent":[142],"PE":[146],"runs,":[148],"(iii)":[149],"continuous":[150],"generation":[151],"matrix,":[155],"(iv)":[156],"successive":[157],"computations":[158],"spread":[165],"until":[166],"convergence":[168],"criterion":[169],"satisfied,":[171],"(v)":[173],"Its":[176],"nature":[178],"makes":[179],"it":[180,192],"many":[182],"task":[183],"intensive":[185],"application":[186],"its":[188],"workflow":[190,217],"gives":[191],"heterogeneity.":[193],"Subsequent":[194],"acoustics":[195,205],"modeling":[197],"involves":[198],"very":[200],"large":[201,220],"short-in-duration":[204],"runs.We":[206],"execution":[209],"characteristics":[210],"challenges":[212,240],"distributed":[215],"dedicated":[221],"cluster":[222],"usability":[225],"enhancing":[227],"this":[228],"with":[229],"runs":[230],"Amazon":[232],"EC2":[233],"Teragrid":[236],"I/O":[239],"faced.":[241]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}