{"id":"https://openalex.org/W4416775815","doi":"https://doi.org/10.1177/10943420251399942","title":"Scalable cosmic AI inference using cloud serverless computing","display_name":"Scalable cosmic AI inference using cloud serverless computing","publication_year":2025,"publication_date":"2025-11-27","ids":{"openalex":"https://openalex.org/W4416775815","doi":"https://doi.org/10.1177/10943420251399942"},"language":"en","primary_location":{"id":"doi:10.1177/10943420251399942","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10943420251399942","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"0890-2720","issn":["0890-2720","1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-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/A5063762386","display_name":"Mills Staylor","orcid":"https://orcid.org/0000-0003-3653-4373"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mills Staylor","raw_affiliation_strings":["University of Virginia","Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3653-4373","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120365357","display_name":"Amirreza Dolatpour Fathkouhi","orcid":"https://orcid.org/0000-0003-2165-2932"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amirreza Dolatpour Fathkouhi","raw_affiliation_strings":["University of Virginia","Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2165-2932","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671175","display_name":"Md. Khairul Islam","orcid":"https://orcid.org/0000-0003-2894-8584"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Khairul Islam","raw_affiliation_strings":["University of Virginia","Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-2894-8584","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047220285","display_name":"Kaleigh O\u2019Hara","orcid":"https://orcid.org/0000-0001-5119-742X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaleigh O\u2019Hara","raw_affiliation_strings":["University of Virginia","School of Data Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0001-5119-742X","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"School of Data Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120413373","display_name":"Ryan Ghiles Goudjil","orcid":"https://orcid.org/0009-0008-1024-7708"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Ghiles Goudjil","raw_affiliation_strings":["University of Virginia","Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0009-0008-1024-7708","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078240493","display_name":"Geoffrey Fox","orcid":"https://orcid.org/0000-0003-1017-1391"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geoffrey Fox","raw_affiliation_strings":["University of Virginia","Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1017-1391","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108016089","display_name":"Geoffrey Fox","orcid":"https://orcid.org/0000-0001-8198-4117"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Judy Fox","raw_affiliation_strings":["University of Virginia","Department of Computer Science, University of Virginia, Charlottesville, VA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8198-4117","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Computer Science, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108016089"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16034226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"3","first_page":"352","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.06539999693632126,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11323","display_name":"Gamma-ray bursts and supernovae","score":0.06539999693632126,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"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/T14347","display_name":"Big Data and Digital Economy","score":0.05609999969601631,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.049800001084804535,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/inference","display_name":"Inference","score":0.8014000058174133},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7914999723434448},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6861000061035156},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4934999942779541},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.35089999437332153},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.34709998965263367}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8014000058174133},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7914999723434448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7788000106811523},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6861000061035156},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4934999942779541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4336000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3912000060081482},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2973000109195709},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2840999960899353},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2736000120639801},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/10943420251399942","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10943420251399942","pdf_url":null,"source":{"id":"https://openalex.org/S60606485","display_name":"The International Journal of High Performance Computing Applications","issn_l":"0890-2720","issn":["0890-2720","1094-3420","1741-2846"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Journal of High Performance Computing Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3444865479","display_name":"OAC Core: RINAS: Data I/O CyberInfrastructure for Extreme-scale Foundation Model and Generative AI Training on HPC","funder_award_id":"2504401","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5539626376","display_name":"CyberTraining: CIC: CyberTraining for Students and Technologies from Generation Z","funder_award_id":"2200409","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6601670200","display_name":"Expeditions: Collaborative Research: Global Pervasive Computational Epidemiology","funder_award_id":"1918626","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8585541598","display_name":"NSF-Simons AI Institute for Cosmic Origins","funder_award_id":"2421782","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1161660097","https://openalex.org/W1971503152","https://openalex.org/W1978875836","https://openalex.org/W2023037133","https://openalex.org/W2035677848","https://openalex.org/W2066469075","https://openalex.org/W2156905179","https://openalex.org/W2517202832","https://openalex.org/W2808496877","https://openalex.org/W2896252012","https://openalex.org/W2908845717","https://openalex.org/W3124020988","https://openalex.org/W3159224251","https://openalex.org/W4205909931","https://openalex.org/W4212923710","https://openalex.org/W4226029148","https://openalex.org/W4386492452","https://openalex.org/W4386750094","https://openalex.org/W4389506788","https://openalex.org/W4399922932","https://openalex.org/W4400034214","https://openalex.org/W4402673601","https://openalex.org/W4403311242"],"related_works":[],"abstract_inverted_index":{"Large-scale":[0],"astronomical":[1,78],"image":[2],"data":[3,161,177],"processing":[4],"and":[5,20,41,74,104,116,136,155,195],"prediction":[6,89,108],"are":[7],"essential":[8],"for":[9,87,199],"astronomers,":[10],"providing":[11],"crucial":[12],"insights":[13],"into":[14],"celestial":[15],"objects,":[16],"the":[17,46,110,200],"universe\u2019s":[18],"history,":[19],"its":[21],"evolution.":[22],"While":[23],"modern":[24],"deep":[25],"learning":[26],"models":[27,62],"offer":[28],"high":[29],"predictive":[30],"accuracy,":[31],"they":[32],"often":[33],"demand":[34],"substantial":[35],"computational":[36,167],"resources,":[37],"making":[38],"them":[39],"resource-intensive":[40],"limiting":[42],"accessibility.":[43],"We":[44,173],"introduce":[45],"Cloud-based":[47],"Astronomy":[48],"Inference":[49],"(CAI)":[50],"framework":[51],"to":[52,130,179,182],"address":[53],"these":[54],"challenges.":[55],"This":[56],"scalable":[57,75],"solution":[58,198],"integrates":[59],"pre-trained":[60],"foundation":[61,85],"with":[63,109],"serverless":[64],"cloud":[65],"infrastructure":[66],"through":[67],"a":[68,84,91,121,191],"Function-as-a-Service":[69],"(FaaS).":[70],"CAI":[71,142,188],"enables":[72],"efficient":[73],"inference":[76,119,158,197],"on":[77,120,133,139],"images":[79],"without":[80],"extensive":[81,95],"hardware.":[82],"Using":[83,106],"model":[86,112],"redshift":[88,107],"as":[90,160],"case":[92],"study,":[93],"our":[94],"experiments":[96],"cover":[97],"user":[98],"devices,":[99],"HPC":[100,134,140],"(High-Performance":[101],"Computing)":[102],"servers,":[103],"Cloud.":[105],"AstroMAE":[111],"demonstrated":[113],"CAI\u2019s":[114,184],"scalability":[115],"efficiency,":[117],"achieving":[118],"12.6":[122],"GB":[123],"dataset":[124],"in":[125],"only":[126],"28":[127],"seconds":[128,132,138],"compared":[129],"140.8":[131],"GPUs":[135],"1793":[137],"CPUs.":[141],"also":[143,174],"achieved":[144],"significantly":[145],"higher":[146],"throughput,":[147],"reaching":[148],"18.04":[149],"billion":[150],"bits":[151],"per":[152,171],"second":[153],"(bps),":[154],"maintained":[156],"near-constant":[157],"times":[159],"sizes":[162],"increased,":[163],"all":[164],"at":[165,186,207],"minimal":[166],"cost":[168],"(under":[169],"$5":[170],"experiment).":[172],"process":[175],"large-scale":[176],"up":[178],"1":[180],"TB":[181],"show":[183],"effectiveness":[185],"scale.":[187],"thus":[189],"provides":[190],"highly":[192],"scalable,":[193],"accessible,":[194],"cost-effective":[196],"astronomy":[201],"community.":[202],"The":[203],"code":[204],"is":[205],"accessible":[206],"https://github.com/UVA-MLSys/AI-for-Astronomy":[208],".":[209]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-11-28T00:00:00"}
