{"id":"https://openalex.org/W4415250846","doi":"https://doi.org/10.1109/hpec67600.2025.11196267","title":"Exploring Neuromorphic Computing with Loihi-2 for High-Performance CFD Simulations","display_name":"Exploring Neuromorphic Computing with Loihi-2 for High-Performance CFD Simulations","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4415250846","doi":"https://doi.org/10.1109/hpec67600.2025.11196267"},"language":"en","primary_location":{"id":"doi:10.1109/hpec67600.2025.11196267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec67600.2025.11196267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-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/A5120024863","display_name":"Talha Coskun","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Talha Coskun","raw_affiliation_strings":["University of Illinois Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093321362","display_name":"Hiruna Vishwamith","orcid":null},"institutions":[{"id":"https://openalex.org/I195740183","display_name":"University of Moratuwa","ror":"https://ror.org/0491f5305","country_code":"LK","type":"education","lineage":["https://openalex.org/I195740183"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Hiruna Vishwamith","raw_affiliation_strings":["University of Moratuwa"],"affiliations":[{"raw_affiliation_string":"University of Moratuwa","institution_ids":["https://openalex.org/I195740183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082117368","display_name":"Murat I\u015f\u0131k","orcid":"https://orcid.org/0000-0001-5105-906X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Isik","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093367414","display_name":"Jonathan Naoukin","orcid":null},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan Naoukin","raw_affiliation_strings":["University of Texas,Austin"],"affiliations":[{"raw_affiliation_string":"University of Texas,Austin","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031540261","display_name":"I. Can Dikmen","orcid":"https://orcid.org/0000-0002-7747-7777"},"institutions":[{"id":"https://openalex.org/I4210121333","display_name":"Istinye University","ror":"https://ror.org/03081nz23","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210121333"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"I. Can Dikmen","raw_affiliation_strings":["Istinye University"],"affiliations":[{"raw_affiliation_string":"Istinye University","institution_ids":["https://openalex.org/I4210121333"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5120024863"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16084428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9205999970436096},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.729200005531311},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.6894999742507935},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5317000150680542},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5309000015258789},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5012999773025513},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.4884999990463257},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4810999929904938},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.48010000586509705}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9205999970436096},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.729200005531311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179999947547913},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.6894999742507935},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5317000150680542},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5309000015258789},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5012999773025513},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.4884999990463257},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.48010000586509705},{"id":"https://openalex.org/C167740415","wikidata":"https://www.wikidata.org/wiki/Q2876213","display_name":"Aerospace","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.46480000019073486},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.44209998846054077},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4325999915599823},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C2778514511","wikidata":"https://www.wikidata.org/wiki/Q1374194","display_name":"Programmer","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36160001158714294},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.30230000615119934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C2777362162","wikidata":"https://www.wikidata.org/wiki/Q5594431","display_name":"Grand Challenges","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C201410400","wikidata":"https://www.wikidata.org/wiki/Q1064412","display_name":"Multithreading","level":3,"score":0.2587999999523163},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec67600.2025.11196267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec67600.2025.11196267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3183719272","https://openalex.org/W4387453012","https://openalex.org/W4409132040","https://openalex.org/W4414054614","https://openalex.org/W4414055257"],"related_works":[],"abstract_inverted_index":{"Modern":[0],"computational":[1],"fluid":[2],"dynamics":[3],"(CFD)":[4],"simulations":[5],"are":[6],"reaching":[7],"unprecedented":[8],"scales,":[9],"as":[10,53,145,147],"seen":[11],"in":[12,33],"NASA\u2019s":[13],"X-59":[14],"effort":[15],"involving":[16],"117":[17],"billion":[18],"grid":[19,44],"cells.":[20],"Such":[21],"complexity":[22],"pushes":[23],"conventional":[24],"CPU":[25],"and":[26,36,61,91,110,168],"GPU":[27],"architectures":[28],"to":[29,100],"their":[30],"limits,":[31],"particularly":[32],"energy":[34,97],"efficiency":[35,80],"scalability":[37],"for":[38,123,138],"real-time":[39,148],"turbulence":[40,128],"modeling":[41],"or":[42],"adaptive":[43],"refinement.":[45],"This":[46],"paper":[47],"investigates":[48],"Intel\u2019s":[49],"Loihi-2":[50,65],"neuromorphic":[51,121,159],"processor":[52],"a":[54,78],"potential":[55],"solution.":[56],"By":[57],"relying":[58],"on":[59],"event-driven":[60],"asynchronous":[62],"parallel":[63],"processing,":[64],"significantly":[66],"reduces":[67],"power":[68,133],"demands":[69],"while":[70],"managing":[71],"high-throughput":[72],"CFD":[73,163],"workloads.":[74],"Experimental":[75],"results":[76],"reveal":[77],"compute":[79],"of":[81,89,94,106,120,157],"103.9":[82],"GFLOPs/W":[83,88,93],"far":[84],"exceeding":[85],"the":[86,118,155],"3.8":[87],"CPUs":[90,109],"74.7":[92],"GPUs.":[95,113],"Per-iteration":[96],"consumption":[98],"drops":[99],"0.09":[101],"Joules,":[102],"representing":[103],"an":[104],"improvement":[105],"34x":[107],"over":[108,112],"10x":[111],"These":[114],"performance":[115],"gains":[116],"underscore":[117],"practicality":[119],"hardware":[122],"energy-efficient,":[124],"large-scale":[125],"CFD,":[126],"including":[127],"modeling.":[129],"Moreover,":[130],"Loihi-2\u2019s":[131],"reduced":[132],"overhead":[134],"positions":[135],"it":[136],"favorably":[137],"aerospace":[139],"applications":[140],"requiring":[141],"onboard":[142],"flow":[143],"simulations,":[144],"well":[146],"IoT":[149],"scenarios.":[150],"Overall,":[151],"this":[152],"study":[153],"demonstrates":[154],"viability":[156],"integrating":[158],"processors":[160],"into":[161],"next-generation":[162],"solvers,":[164],"bridging":[165],"neuroscience-inspired":[166],"computation":[167],"high-performance":[169],"engineering.":[170]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-16T00:00:00"}
