{"id":"https://openalex.org/W7166673771","doi":"https://doi.org/10.48550/arxiv.2606.28534","title":"High-Performance Resilient Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations at Scale","display_name":"High-Performance Resilient Multi-GPU Hybrid Particle-in-Cell Monte Carlo Simulations at Scale","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166673771","doi":"https://doi.org/10.48550/arxiv.2606.28534"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.28534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135831830","display_name":"Jeremy J. Williams","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Williams, Jeremy J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139668524","display_name":"Stefan Costea","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Costea, Stefan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139697903","display_name":"David Tskhakaya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tskhakaya, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139635642","display_name":"Leon Kos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kos, Leon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074539607","display_name":"A. Podoln\u00edk","orcid":"https://orcid.org/0000-0003-1237-8812"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Podolnik, Ales","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038147894","display_name":"Jakub Hrom\u00e1dka","orcid":"https://orcid.org/0000-0003-2708-7049"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hromadka, Jakub","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114537008","display_name":"Jordy Trilaksono","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Trilaksono, Jordy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139697088","display_name":"Yi Ju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ju, Yi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080612566","display_name":"Kallia Chronaki","orcid":"https://orcid.org/0000-0003-4579-8151"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chronaki, Kallia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139706640","display_name":"Evangelos Gkolantas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gkolantas, Evangelos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135856374","display_name":"Vassilis Papaefstathiou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Papaefstathiou, Vassilis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139696379","display_name":"Allen D. Malony","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malony, Allen D.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139068469","display_name":"Sameer Shende","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shende, Sameer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139637917","display_name":"Frank Jenko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jenko, Frank","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139660670","display_name":"Erwin Laure","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laure, Erwin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139687170","display_name":"Stefano Markidis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Markidis, Stefano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11012","display_name":"Gas Dynamics and Kinetic Theory","score":0.29820001125335693,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11012","display_name":"Gas Dynamics and Kinetic Theory","score":0.29820001125335693,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10346","display_name":"Magnetic confinement fusion research","score":0.09070000052452087,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy 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/T10597","display_name":"Nuclear reactor physics and engineering","score":0.07859999686479568,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/scalability","display_name":"Scalability","score":0.8299999833106995},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6525999903678894},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.5839999914169312},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.501800000667572},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.4742000102996826},{"id":"https://openalex.org/keywords/exascale-computing","display_name":"Exascale computing","score":0.4560000002384186},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.43149998784065247},{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.37450000643730164}],"concepts":[{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8299999833106995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7613999843597412},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6525999903678894},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.5885999798774719},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.5839999914169312},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.501800000667572},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.4742000102996826},{"id":"https://openalex.org/C2778837361","wikidata":"https://www.wikidata.org/wiki/Q2450880","display_name":"Exascale computing","level":3,"score":0.4560000002384186},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4546999931335449},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.43149998784065247},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4180000126361847},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2915000021457672},{"id":"https://openalex.org/C2775904623","wikidata":"https://www.wikidata.org/wiki/Q108529","display_name":"Tera-","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2781057727","wikidata":"https://www.wikidata.org/wiki/Q9941","display_name":"Parallel I/O","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.2612999975681305},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.26019999384880066},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2581999897956848},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.28534","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28534","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.4377118647098541,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"increasing":[1],"demand":[2],"for":[3,37,77,83,131,153],"high-performance":[4,35,78],"computing":[5],"in":[6],"plasma":[7],"physics":[8],"has":[9],"driven":[10],"scalable":[11,164],"and":[12,48,56,62,72,81,99,104,110,117,128,139,143,161,176],"resilient":[13,91],"simulation":[14],"methods":[15],"capable":[16],"of":[17,31,102],"efficiently":[18],"exploiting":[19],"modern":[20],"multi-GPU":[21,172],"architectures.":[22],"This":[23,74],"work":[24],"extends":[25],"a":[26],"portable":[27],"hybrid":[28],"MPI+OpenMP":[29],"implementation":[30],"BIT1,":[32],"focusing":[33],"on":[34,135,174],"resilience":[36],"accelerated":[38],"Particle-in-Cell":[39],"(PIC)":[40],"Monte":[41],"Carlo":[42],"(MC)":[43],"simulations":[44],"under":[45],"both":[46],"uniform":[47],"non-uniform":[49],"load":[50,54],"conditions.":[51],"Scalable":[52],"particle":[53],"balancing":[55],"robust":[57],"checkpoint/restart":[58],"mechanisms":[59],"across":[60],"Nvidia":[61,114],"AMD":[63,118],"accelerators":[64],"are":[65],"integrated":[66],"with":[67,120],"standardized":[68],"I/O":[69,105,165],"using":[70,163],"openPMD":[71],"ADIOS2.":[73],"leverages":[75],"BP4":[76],"file-based":[79],"checkpointing":[80],"SST":[82],"in-memory":[84],"data":[85,89],"streaming,":[86],"enabling":[87],"efficient":[88],"movement,":[90],"large-scale":[92,154],"execution,":[93],"seamless":[94],"continuation":[95],"from":[96],"existing":[97],"checkpoints,":[98],"effective":[100],"handling":[101],"computational":[103],"workloads.":[106],"Advanced":[107],"HPC":[108],"profiling":[109],"tracing":[111],"tools,":[112],"including":[113],"Nsight":[115],"Systems":[116],"ROC-Profiler":[119],"Perfetto,":[121],"provide":[122],"detailed":[123],"insights":[124],"into":[125],"computation,":[126],"communication,":[127],"system-level":[129],"behavior":[130],"optimization.":[132],"Performance":[133],"results":[134],"Frontier":[136],"(OLCF-5),":[137],"MN5,":[138],"LUMI-G":[140],"demonstrate":[141],"strong":[142],"weak":[144],"scaling":[145],"up":[146],"to":[147],"800":[148],"GPUs,":[149],"validating":[150],"the":[151],"framework":[152],"PIC":[155],"MC":[156],"simulations,":[157],"while":[158],"in-situ":[159],"analysis":[160],"visualization":[162],"further":[166],"enhance":[167],"scientific":[168],"insight":[169],"without":[170],"interrupting":[171],"execution":[173],"current":[175],"future":[177],"exascale":[178],"systems.":[179]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-01T00:00:00"}