{"id":"https://openalex.org/W2948660179","doi":"https://doi.org/10.1145/3324989.3325720","title":"Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning","display_name":"Prediction of Time-to-Solution in Material Science Simulations Using Deep Learning","publication_year":2019,"publication_date":"2019-06-04","ids":{"openalex":"https://openalex.org/W2948660179","doi":"https://doi.org/10.1145/3324989.3325720","mag":"2948660179"},"language":"en","primary_location":{"id":"doi:10.1145/3324989.3325720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3324989.3325720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Platform for Advanced Scientific Computing Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dl.acm.org/doi/10.1145/3324989.3325720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080720321","display_name":"Federico Pittino","orcid":"https://orcid.org/0000-0003-3248-5391"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Federico Pittino","raw_affiliation_strings":["Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018328574","display_name":"Pietro Bonf\u00e0","orcid":"https://orcid.org/0000-0001-6358-3037"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pietro Bonf\u00e0","raw_affiliation_strings":["Department of Mathematical, Physical and Computer Sciences, University of Parma, Parma, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical, Physical and Computer Sciences, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047906923","display_name":"Andrea Bartolini","orcid":"https://orcid.org/0000-0002-1148-2450"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Bartolini","raw_affiliation_strings":["Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033859131","display_name":"Fabio Affinito","orcid":"https://orcid.org/0000-0003-0716-2849"},"institutions":[{"id":"https://openalex.org/I4210119786","display_name":"Cineca","ror":"https://ror.org/02f013h18","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210119786"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Affinito","raw_affiliation_strings":["CINECA, Casalecchio di Reno (Bologna), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CINECA, Casalecchio di Reno (Bologna), Italy","institution_ids":["https://openalex.org/I4210119786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043408422","display_name":"Luca Benini","orcid":"https://orcid.org/0000-0001-8068-3806"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]},{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["CH","IT"],"is_corresponding":false,"raw_author_name":"Luca Benini","raw_affiliation_strings":["Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Bologna, Italy Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Bologna, Italy Integrated Systems Laboratory, ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088","https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029838099","display_name":"Carlo Cavazzoni","orcid":"https://orcid.org/0000-0002-9589-4785"},"institutions":[{"id":"https://openalex.org/I4210119786","display_name":"Cineca","ror":"https://ror.org/02f013h18","country_code":"IT","type":"other","lineage":["https://openalex.org/I4210119786"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Cavazzoni","raw_affiliation_strings":["CINECA, Casalecchio di Reno (Bologna), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CINECA, Casalecchio di Reno (Bologna), Italy","institution_ids":["https://openalex.org/I4210119786"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12613","display_name":"X-ray Diffraction in Crystallography","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6090076565742493},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5395864844322205},{"id":"https://openalex.org/keywords/deep-time","display_name":"Deep time","score":0.4867556095123291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46221986413002014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36849579215049744},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11773025989532471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6090076565742493},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5395864844322205},{"id":"https://openalex.org/C131419983","wikidata":"https://www.wikidata.org/wiki/Q1909845","display_name":"Deep time","level":2,"score":0.4867556095123291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46221986413002014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36849579215049744},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11773025989532471},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3324989.3325720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3324989.3325720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Platform for Advanced Scientific Computing Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/718393","is_oa":true,"landing_page_url":"https://dl.acm.org/doi/10.1145/3324989.3325720","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unimore.it:11380/1369389","is_oa":true,"landing_page_url":"https://hdl.handle.net/11380/1369389","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:cris.unibo.it:11585/718393","is_oa":true,"landing_page_url":"https://dl.acm.org/doi/10.1145/3324989.3325720","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G6848952490","display_name":null,"funder_award_id":"824143","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"},{"id":"https://openalex.org/G8072461988","display_name":"Open transPREcision COMPuting","funder_award_id":"732631","funder_id":"https://openalex.org/F4320338336","funder_display_name":"H2020 Future and Emerging Technologies"}],"funders":[{"id":"https://openalex.org/F4320335254","display_name":"Horizon 2020","ror":null},{"id":"https://openalex.org/F4320338336","display_name":"H2020 Future and Emerging Technologies","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W77753788","https://openalex.org/W1554944419","https://openalex.org/W1555915743","https://openalex.org/W1966275653","https://openalex.org/W1979544533","https://openalex.org/W1982008063","https://openalex.org/W1995469798","https://openalex.org/W2009596258","https://openalex.org/W2083222334","https://openalex.org/W2087585288","https://openalex.org/W2098432400","https://openalex.org/W2120145199","https://openalex.org/W2152886061","https://openalex.org/W2230728100","https://openalex.org/W2551377153","https://openalex.org/W2578279218","https://openalex.org/W2735966647","https://openalex.org/W2757803490","https://openalex.org/W2809607786","https://openalex.org/W2899771611","https://openalex.org/W2911436864","https://openalex.org/W3005347330","https://openalex.org/W3101095095","https://openalex.org/W4229666556","https://openalex.org/W4238885544","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Predicting":[0],"the":[1,19,31,59,97,112,132,143,147],"time":[2,52,98],"to":[3,30,58,63,91,99,137],"solution":[4,100],"for":[5,16,101,127],"massively":[6],"parallel":[7],"scientific":[8],"codes":[9],"is":[10,18,53],"a":[11,83,102,116,128],"complex":[12],"task.":[13],"The":[14],"reason":[15],"this":[17,79],"presence":[20],"of":[21,50,55,74,96,134,142],"multiple,":[22],"strongly":[23],"interconnected":[24],"algorithms":[25,144],"that":[26,122],"possibly":[27],"react":[28],"differently":[29],"changes":[32],"in":[33,146],"compute":[34],"power,":[35],"vectorization":[36],"length,":[37],"memory":[38],"and":[39,42,44],"network":[40],"bandwidth":[41],"latency":[43],"I/O":[45],"throughput.":[46],"A":[47],"reliable":[48],"prediction":[49],"execution":[51],"however":[54],"great":[56],"importance":[57],"user":[60],"who":[61],"wants":[62],"plan":[64],"on":[65,87],"large":[66],"scale":[67],"simulations":[68],"or":[69],"virtual":[70],"screening":[71],"procedures":[72],"characteristic":[73],"high":[75],"throughput":[76],"computing.":[77],"In":[78],"article":[80],"we":[81],"present":[82],"practical":[84],"approach":[85],"based":[86],"machine":[88],"learning":[89,124],"techniques":[90],"achieve":[92],"very":[93],"accurate":[94],"predictions":[95,113],"DFT-based":[103],"material":[104],"science":[105],"code.":[106,148],"We":[107],"compare":[108],"our":[109],"results":[110],"with":[111],"provided":[114],"by":[115],"parametrized":[117],"analytical":[118],"performance":[119],"model":[120],"showing":[121],"deep":[123],"solutions":[125],"allow":[126],"greater":[129],"accuracy":[130],"without":[131],"need":[133],"domain":[135],"knowledge":[136],"introduce":[138],"an":[139],"explicit":[140],"description":[141],"implemented":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2019-06-14T00:00:00"}