{"id":"https://openalex.org/W7154085923","doi":"https://doi.org/10.48550/arxiv.2604.09517","title":"Sustaining Exascale Performance: Lessons from HPL and HPL-MxP on Aurora","display_name":"Sustaining Exascale Performance: Lessons from HPL and HPL-MxP on Aurora","publication_year":2026,"publication_date":"2026-04-10","ids":{"openalex":"https://openalex.org/W7154085923","doi":"https://doi.org/10.48550/arxiv.2604.09517"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.09517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09517","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":null,"license_id":null,"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.2604.09517","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133483133","display_name":"Kazushige Goto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goto, Kazushige","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008618535","display_name":"Huda Ibeid","orcid":"https://orcid.org/0000-0001-5208-5366"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ibeid, Huda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042365313","display_name":"Kalyan Kumaran","orcid":"https://orcid.org/0000-0002-6447-3195"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumaran, Kalyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043250051","display_name":"Servesh Muralidharan","orcid":"https://orcid.org/0000-0002-3541-5658"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muralidharan, Servesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111955571","display_name":"Anthony-Trung Nguyen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Anthony-Trung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5120325298","display_name":"Aditya Nishtala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nishtala, Aditya","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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.5853000283241272,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.5853000283241272,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.11620000004768372,"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"}},{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.11060000211000443,"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/software-deployment","display_name":"Software deployment","score":0.8461999893188477},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.6062999963760376},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.5856000185012817},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.5735999941825867},{"id":"https://openalex.org/keywords/exascale-computing","display_name":"Exascale computing","score":0.5320000052452087},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5315999984741211},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.484499990940094},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.3776000142097473}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.8461999893188477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6531999707221985},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6062999963760376},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.5735999941825867},{"id":"https://openalex.org/C2778837361","wikidata":"https://www.wikidata.org/wiki/Q2450880","display_name":"Exascale computing","level":3,"score":0.5320000052452087},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5315999984741211},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.484499990940094},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44530001282691956},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3776000142097473},{"id":"https://openalex.org/C147297375","wikidata":"https://www.wikidata.org/wiki/Q6674930","display_name":"Look-ahead","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C3017813396","wikidata":"https://www.wikidata.org/wiki/Q17078173","display_name":"Resource constraints","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C81293917","wikidata":"https://www.wikidata.org/wiki/Q4189534","display_name":"System deployment","level":3,"score":0.30399999022483826},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C51332947","wikidata":"https://www.wikidata.org/wiki/Q1172305","display_name":"Shared resource","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25999999046325684},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.25859999656677246},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.09517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09517","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.09517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.09517","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sustaining":[0],"exascale":[1,40],"performance":[2],"in":[3,72],"production":[4,57,99],"requires":[5],"engineering":[6],"choices":[7,103],"and":[8,18,34,54,88,94,118],"operational":[9],"practices":[10],"that":[11,104],"emerge":[12],"only":[13],"under":[14],"real":[15],"deployment":[16,46],"constraints":[17],"demand":[19],"coordination":[20],"across":[21],"system":[22,41],"layers.":[23],"This":[24],"paper":[25],"reports":[26],"experience":[27],"from":[28,62],"three":[29],"successive":[30],"campaigns":[31],"running":[32],"HPL":[33],"HPL-MxP":[35,76],"on":[36,64,69],"Aurora,":[37],"an":[38,79],"Intel-based":[39],"featuring":[42],"the":[43,55,101,135],"first":[44],"large-scale":[45],"of":[47],"Intel":[48,89],"discrete":[49],"GPUs,":[50],"CPU-attached":[51],"network":[52],"interfaces,":[53],"largest":[56],"Slingshot-11":[58],"interconnect.":[59],"Aurora":[60],"progressed":[61],"0.585EF/s":[63],"5,439":[65],"nodes":[66,71],"to":[67,140,142],"1.01EF/s":[68],"9,234":[70],"FP64":[73,83],"HPL,":[74],"while":[75],"reached":[77],"11.64EF/s,":[78],"11.5x":[80],"speedup":[81],"over":[82],"enabled":[84],"by":[85,96],"mixed-precision":[86,116],"arithmetic":[87],"AMX":[90],"acceleration.":[91],"We":[92],"identify":[93],"classify":[95],"role":[97],"at":[98,128,147],"scale":[100],"system-level":[102],"sustained":[105],"these":[106],"results,":[107],"including":[108],"deterministic":[109],"locality-aware":[110],"resource":[111],"mapping,":[112],"explicit":[113],"CPU-GPU":[114],"pipelining,":[115],"orchestration,":[117],"a":[119],"hybrid":[120],"P2P/collective":[121],"resilience":[122],"strategy":[123],"introduced":[124],"after":[125],"synchronization":[126],"stalls":[127],"scale.":[129,149],"While":[130],"some":[131],"observations":[132],"are":[133,138],"Aurora-specific,":[134],"broader":[136],"lessons":[137],"likely":[139],"apply":[141],"tightly":[143],"coupled":[144],"heterogeneous":[145],"systems":[146],"extreme":[148]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-14T00:00:00"}
