{"id":"https://openalex.org/W2994884340","doi":"https://doi.org/10.1145/3371235","title":"Exploring Complex Brain-Simulation Workloads on Multi-GPU Deployments","display_name":"Exploring Complex Brain-Simulation Workloads on Multi-GPU Deployments","publication_year":2019,"publication_date":"2019-12-17","ids":{"openalex":"https://openalex.org/W2994884340","doi":"https://doi.org/10.1145/3371235","mag":"2994884340"},"language":"en","primary_location":{"id":"doi:10.1145/3371235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3371235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3371235","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3371235","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077669626","display_name":"Michiel van der Vlag","orcid":"https://orcid.org/0000-0003-0370-4655"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Michiel A. van der Vlag","raw_affiliation_strings":["Erasmus Medical Centre - Department of Neuroscience, Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus Medical Centre - Department of Neuroscience, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030588527","display_name":"Georgios Smaragdos","orcid":"https://orcid.org/0000-0001-7969-9827"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Georgios Smaragdos","raw_affiliation_strings":["Erasmus Medical Centre - Department of Neuroscience, Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus Medical Centre - Department of Neuroscience, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021955713","display_name":"Zaid Al-Ars","orcid":"https://orcid.org/0000-0001-7670-8572"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zaid Al-Ars","raw_affiliation_strings":["Delft University of Technology - Quantum 8 Computing Engineering, Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology - Quantum 8 Computing Engineering, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077785373","display_name":"Christos Strydis","orcid":"https://orcid.org/0000-0002-0935-9322"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Christos Strydis","raw_affiliation_strings":["Erasmus Medical Centre - Department of Neuroscience, Rotterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Erasmus Medical Centre - Department of Neuroscience, Rotterdam, The Netherlands","institution_ids":["https://openalex.org/I913958620"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077669626"],"corresponding_institution_ids":["https://openalex.org/I913958620"],"apc_list":null,"apc_paid":null,"fwci":1.3257,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.81695543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8899974822998047},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7534242868423462},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5715636610984802},{"id":"https://openalex.org/keywords/computational-neuroscience","display_name":"Computational neuroscience","score":0.471910297870636},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.445342481136322},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.429858922958374},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34151774644851685},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.3281428813934326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31581348180770874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8899974822998047},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7534242868423462},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5715636610984802},{"id":"https://openalex.org/C15286952","wikidata":"https://www.wikidata.org/wiki/Q8037925","display_name":"Computational neuroscience","level":2,"score":0.471910297870636},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.445342481136322},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.429858922958374},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34151774644851685},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.3281428813934326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31581348180770874},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3371235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3371235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3371235","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},{"id":"pmh:eur:oai:pure.eur.nl:publications/1dc3d360-7184-4571-a327-131a74c0a73b","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/1dc3d360-7184-4571-a327-131a74c0a73b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Acm Transactions on Architecture and Code Optimization, 16(4):53. ACM","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1145/3371235","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3371235","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3371235","source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2994884340.pdf","grobid_xml":"https://content.openalex.org/works/W2994884340.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W25946478","https://openalex.org/W101771737","https://openalex.org/W1421005772","https://openalex.org/W1598466430","https://openalex.org/W1980189040","https://openalex.org/W1988888548","https://openalex.org/W1992962224","https://openalex.org/W2006370340","https://openalex.org/W2018027127","https://openalex.org/W2019465613","https://openalex.org/W2025835468","https://openalex.org/W2065773795","https://openalex.org/W2087861759","https://openalex.org/W2103325328","https://openalex.org/W2140886546","https://openalex.org/W2157239334","https://openalex.org/W2158934516","https://openalex.org/W2159927097","https://openalex.org/W2160530076","https://openalex.org/W2229595996","https://openalex.org/W2561675875","https://openalex.org/W2583467729","https://openalex.org/W2802173479","https://openalex.org/W2889854128","https://openalex.org/W2900081818","https://openalex.org/W2904565241","https://openalex.org/W2927500404","https://openalex.org/W2943381924","https://openalex.org/W2971430069","https://openalex.org/W4206600001","https://openalex.org/W4256306241"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2011676020","https://openalex.org/W2000169967"],"abstract_inverted_index":{"In-silico":[0],"brain":[1,18,59,67,108],"simulations":[2,168,202],"are":[3,103,207],"the":[4,46,80,87,96,112,118,129,189],"de-facto":[5],"tools":[6],"computational":[7],"neuroscientists":[8],"use":[9,47],"to":[10,25,44,62,145],"understand":[11],"large-scale":[12,26],"and":[13,61,94,127,150,161],"complex":[14,35,204],"brain-function":[15],"dynamics.":[16],"Current":[17],"simulators":[19],"do":[20,182],"not":[21,183],"scale":[22],"efficiently":[23],"enough":[24],"problem":[27],"sizes":[28,141],"(e.g.,":[29],">100,000":[30],"neurons)":[31],"when":[32,125],"simulating":[33,99],"biophysically":[34,75],"neuron":[36,92,154],"models.":[37],"The":[38,66,83],"goal":[39],"of":[40,48,79,166,174,203],"this":[41,100],"work":[42],"is":[43,70,86,193],"explore":[45],"true":[49],"multi-GPU":[50,130,211],"acceleration":[51],"through":[52],"NVIDIA\u2019s":[53],"GPUDirect":[54],"technology":[55],"on":[56,157],"computationally":[57,194],"challenging":[58],"models":[60,206],"assess":[63],"their":[64],"scalability.":[65],"model":[68,78,85],"used":[69],"a":[71,210],"state-of-the-art,":[72],"extended":[73],"Hodgkin-Huxley,":[74],"meaningful,":[76],"three-compartmental":[77],"inferior-olivary":[81],"nucleus.":[82],"Hodgkin-Huxley":[84],"most":[88],"widely":[89],"adopted":[90],"conductance-based":[91],"representation,":[93],"thus":[95],"results":[97],"from":[98,143],"representative":[101],"workload":[102],"relevant":[104],"for":[105,171],"many":[106],"other":[107],"experiments.":[109],"Not":[110],"only":[111],"actual":[113],"network-simulation":[114],"times":[115,120],"but":[116],"also":[117],"network-setup":[119],"were":[121,155,169],"taken":[122],"into":[123],"account":[124],"designing":[126],"benchmarking":[128],"version,":[131],"an":[132],"aspect":[133],"often":[134],"ignored":[135],"in":[136],"similar":[137],"previous":[138],"work.":[139],"Network":[140],"varying":[142],"65K":[144],"2M":[146],"cells,":[147],"with":[148,213],"10":[149],"1,000":[151],"synapses":[152],"per":[153],"executed":[156],"8,":[158],"16,":[159],"24,":[160],"32":[162],"GPUs.":[163],"Without":[164],"loss":[165],"generality,":[167],"run":[170],"100":[172],"ms":[173],"biological":[175],"time.":[176],"Findings":[177],"indicate":[178],"that":[179,200],"communication":[180],"overheads":[181],"dominate":[184],"overall":[185],"execution":[186],"while":[187],"scaling":[188],"network":[190],"size":[191],"up":[192],"tractable.":[195],"This":[196],"scalable":[197],"design":[198,212],"proves":[199],"large-network":[201],"neural":[205],"possible":[208],"using":[209],"GPUDirect.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2019-12-26T00:00:00"}