{"id":"https://openalex.org/W3036442151","doi":"https://doi.org/10.1145/3394277.3401857","title":"Massive Scaling of MASSIF","display_name":"Massive Scaling of MASSIF","publication_year":2020,"publication_date":"2020-06-18","ids":{"openalex":"https://openalex.org/W3036442151","doi":"https://doi.org/10.1145/3394277.3401857","mag":"3036442151"},"language":"en","primary_location":{"id":"doi:10.1145/3394277.3401857","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394277.3401857","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394277.3401857","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3394277.3401857","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078947104","display_name":"Anuva Kulkarni","orcid":"https://orcid.org/0000-0001-8896-7504"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anuva Kulkarni","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101863660","display_name":"Jelena Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0003-0139-2803"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jelena Kova\u010devi\u0107","raw_affiliation_strings":["New York University, New York City, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, New York City, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062806943","display_name":"Franz Franchetti","orcid":"https://orcid.org/0000-0002-3529-8973"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Franz Franchetti","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10339","display_name":"Advanced Numerical Methods in Computational Mathematics","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10339","display_name":"Advanced Numerical Methods in Computational Mathematics","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T11263","display_name":"Electromagnetic Simulation and Numerical Methods","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932738065719604},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.6500091552734375},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.646674633026123},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.6248230934143066},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5809996724128723},{"id":"https://openalex.org/keywords/fortran","display_name":"Fortran","score":0.563615083694458},{"id":"https://openalex.org/keywords/domain-decomposition-methods","display_name":"Domain decomposition methods","score":0.5402637720108032},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5346977114677429},{"id":"https://openalex.org/keywords/massif","display_name":"Massif","score":0.5333858132362366},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5300341248512268},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5241841673851013},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3773932158946991},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3525121212005615},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.239073246717453},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11075448989868164}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932738065719604},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.6500091552734375},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.646674633026123},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.6248230934143066},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5809996724128723},{"id":"https://openalex.org/C2778241615","wikidata":"https://www.wikidata.org/wiki/Q83303","display_name":"Fortran","level":2,"score":0.563615083694458},{"id":"https://openalex.org/C198880260","wikidata":"https://www.wikidata.org/wiki/Q5289813","display_name":"Domain decomposition methods","level":3,"score":0.5402637720108032},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5346977114677429},{"id":"https://openalex.org/C160776313","wikidata":"https://www.wikidata.org/wiki/Q1061151","display_name":"Massif","level":2,"score":0.5333858132362366},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5300341248512268},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5241841673851013},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3773932158946991},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3525121212005615},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.239073246717453},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11075448989868164},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394277.3401857","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394277.3401857","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394277.3401857","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Platform for Advanced Scientific Computing Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3394277.3401857","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3394277.3401857","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3394277.3401857","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Platform for Advanced Scientific Computing Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1143651532","display_name":null,"funder_award_id":"DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320338292","funder_display_name":"Lawrence Berkeley National Laboratory"},{"id":"https://openalex.org/G1286236842","display_name":null,"funder_award_id":"-AC02-05CH11231","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G1799333409","display_name":null,"funder_award_id":"DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320337506","funder_display_name":"Advanced Scientific Computing Research"},{"id":"https://openalex.org/G2503023272","display_name":null,"funder_award_id":"Contract No. DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G2857863752","display_name":null,"funder_award_id":"No. DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320338292","funder_display_name":"Lawrence Berkeley National Laboratory"},{"id":"https://openalex.org/G3083819904","display_name":null,"funder_award_id":"05CH11231","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G367708065","display_name":null,"funder_award_id":"ACI-1548562","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3709464396","display_name":null,"funder_award_id":"-1548562","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3730782400","display_name":"XSEDE 2.0:  Integrating, Enabling and Enhancing National Cyberinfrastructure with Expanding Community Involvement","funder_award_id":"1548562","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4897854425","display_name":null,"funder_award_id":"grant number ACI-1548562","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5375843722","display_name":null,"funder_award_id":"Contract No. DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320337506","funder_display_name":"Advanced Scientific Computing Research"},{"id":"https://openalex.org/G6348972864","display_name":null,"funder_award_id":"AC02-05CH11231","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G654302390","display_name":null,"funder_award_id":"Contract No. DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320338292","funder_display_name":"Lawrence Berkeley National Laboratory"},{"id":"https://openalex.org/G6558272803","display_name":null,"funder_award_id":"DE-AC02","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6806689448","display_name":null,"funder_award_id":"ACI-1548562","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7233692708","display_name":null,"funder_award_id":"DE-AC02-05CH11231","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7354628648","display_name":null,"funder_award_id":"05CH11231","funder_id":"https://openalex.org/F4320338292","funder_display_name":"Lawrence Berkeley National Laboratory"},{"id":"https://openalex.org/G7404166632","display_name":"Bridges: From Communities and Data to Workflows and Insight","funder_award_id":"1445606","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8306346728","display_name":null,"funder_award_id":"AC02-05CH11231","funder_id":"https://openalex.org/F4320338292","funder_display_name":"Lawrence Berkeley National Laboratory"},{"id":"https://openalex.org/G8729765517","display_name":null,"funder_award_id":"ACI-1445606","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G969889393","display_name":null,"funder_award_id":"DE-AC02-","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320337506","display_name":"Advanced Scientific Computing Research","ror":"https://ror.org/0012c7r22"},{"id":"https://openalex.org/F4320338292","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3036442151.pdf","grobid_xml":"https://content.openalex.org/works/W3036442151.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W107029046","https://openalex.org/W1964203463","https://openalex.org/W2010122118","https://openalex.org/W2024527159","https://openalex.org/W2025759093","https://openalex.org/W2035975621","https://openalex.org/W2058094241","https://openalex.org/W2072897844","https://openalex.org/W2090690379","https://openalex.org/W2102182691","https://openalex.org/W2114927422","https://openalex.org/W2118282456","https://openalex.org/W2140980608","https://openalex.org/W2147688967","https://openalex.org/W2259429202","https://openalex.org/W2296520333","https://openalex.org/W2767510344","https://openalex.org/W2803258762","https://openalex.org/W2898200251","https://openalex.org/W2902041647","https://openalex.org/W2903069957","https://openalex.org/W3112597099"],"related_works":["https://openalex.org/W4221015595","https://openalex.org/W1882399816","https://openalex.org/W4231953032","https://openalex.org/W3200364370","https://openalex.org/W2381024879","https://openalex.org/W2293073791","https://openalex.org/W4392217765","https://openalex.org/W2397631028","https://openalex.org/W1968967802","https://openalex.org/W2255881169"],"abstract_inverted_index":{"Micromechanical":[0],"Analysis":[1],"of":[2,78,128],"Stress-Strain":[3],"Inhomogeneities":[4],"with":[5,41,57],"Fourier":[6],"transforms":[7],"(MASSIF)":[8],"is":[9,32],"a":[10],"large-scale":[11],"Fortran-based":[12],"differential":[13],"equation":[14],"solver":[15],"used":[16],"to":[17,26,35,39,64,131,137],"study":[18],"local":[19],"stresses":[20],"and":[21,84,135],"strains":[22],"in":[23,140],"materials.":[24],"Due":[25],"its":[27],"prohibitive":[28],"memory":[29,62,94],"requirements,":[30],"it":[31],"extremely":[33],"difficult":[34],"port":[36],"the":[37,66,104,126,141],"code":[38],"GPUs":[40],"small":[42],"on-device":[43],"memory.":[44],"In":[45],"this":[46],"work,":[47],"we":[48,124],"present":[49],"an":[50,115],"algorithm":[51],"design":[52,118],"that":[53,82],"uses":[54],"domain":[55,90,133],"decomposition":[56,134],"approximate":[58],"convolution,":[59],"which":[60],"reduces":[61],"footprint":[63],"make":[65],"MASSIF":[67],"simulation":[68],"feasible":[69],"on":[70],"distributed":[71],"GPU":[72,93],"systems.":[73],"A":[74],"first-order":[75],"performance":[76],"model":[77,111],"our":[79,129],"method":[80,130],"estimates":[81],"compression":[83],"multi-resolution":[85],"sampling":[86],"strategies":[87],"can":[88],"enable":[89],"computation":[91],"within":[92],"constraints":[95],"for":[96,120],"3D":[97],"grids":[98],"larger":[99],"than":[100],"those":[101],"simulated":[102],"by":[103],"current":[105],"state-of-the-art":[106],"Fortran":[107],"MPI":[108],"implementation.":[109],"The":[110],"analysis":[112],"also":[113],"provides":[114],"insight":[116],"into":[117],"requirements":[119],"further":[121],"scalability.":[122],"Lastly,":[123],"discuss":[125],"extension":[127],"irregular":[132],"challenges":[136],"be":[138],"tackled":[139],"future.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
