{"id":"https://openalex.org/W4390970468","doi":"https://doi.org/10.1109/bibm58861.2023.10385605","title":"High performance computing requirements for the calculation of a morphology model of the human whole brain at the nanoscale","display_name":"High performance computing requirements for the calculation of a morphology model of the human whole brain at the nanoscale","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390970468","doi":"https://doi.org/10.1109/bibm58861.2023.10385605"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021552253","display_name":"Wies\u0142aw L. Nowinski","orcid":"https://orcid.org/0000-0003-2869-0608"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Wieslaw L. Nowinski","raw_affiliation_strings":["Personalised Medicine,Sano Centre for Computational,Krakow,Poland","Sano Centre for Computational, Personalised Medicine, Krakow, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Personalised Medicine,Sano Centre for Computational,Krakow,Poland","institution_ids":["https://openalex.org/I686019"]},{"raw_affiliation_string":"Sano Centre for Computational, Personalised Medicine, Krakow, Poland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021552253"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":3.6948,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.93652968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3321","last_page":"3327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.993399977684021,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.8754163980484009},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.8459068536758423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7734652757644653},{"id":"https://openalex.org/keywords/tera","display_name":"Tera-","score":0.6180355548858643},{"id":"https://openalex.org/keywords/exascale-computing","display_name":"Exascale computing","score":0.5511495471000671},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.5031525492668152},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4721762537956238},{"id":"https://openalex.org/keywords/human-brain","display_name":"Human brain","score":0.4139474332332611},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3335994780063629},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20047086477279663},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1756466031074524},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15727534890174866}],"concepts":[{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.8754163980484009},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.8459068536758423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7734652757644653},{"id":"https://openalex.org/C2775904623","wikidata":"https://www.wikidata.org/wiki/Q108529","display_name":"Tera-","level":2,"score":0.6180355548858643},{"id":"https://openalex.org/C2778837361","wikidata":"https://www.wikidata.org/wiki/Q2450880","display_name":"Exascale computing","level":3,"score":0.5511495471000671},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.5031525492668152},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4721762537956238},{"id":"https://openalex.org/C2777670902","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Human brain","level":2,"score":0.4139474332332611},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3335994780063629},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20047086477279663},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1756466031074524},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15727534890174866},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W89283330","https://openalex.org/W1982860966","https://openalex.org/W1995426418","https://openalex.org/W2093956835","https://openalex.org/W2121999864","https://openalex.org/W2169331639","https://openalex.org/W2559748052","https://openalex.org/W2582793465","https://openalex.org/W2778860560","https://openalex.org/W2963663808","https://openalex.org/W2994450015","https://openalex.org/W3007883266","https://openalex.org/W3170914969","https://openalex.org/W3208354138","https://openalex.org/W3215870466","https://openalex.org/W4225613566","https://openalex.org/W4246052209","https://openalex.org/W4312156868","https://openalex.org/W4317436064","https://openalex.org/W4382703261"],"related_works":["https://openalex.org/W1855765675","https://openalex.org/W3046859795","https://openalex.org/W1505902692","https://openalex.org/W2391437419","https://openalex.org/W111037196","https://openalex.org/W2146150723","https://openalex.org/W4318068934","https://openalex.org/W2290952066","https://openalex.org/W2997651281","https://openalex.org/W2894294941"],"abstract_inverted_index":{"We":[0],"have":[1],"witnessed":[2],"recently":[3],"a":[4,24,154,169,284],"huge":[5],"explosion":[6],"of":[7,18,21,26,41,56,67,72,97,130,235,258,287],"human":[8,28,59,289],"brain":[9,22,30,60,99,291],"big":[10],"projects.":[11],"Despite":[12],"these":[13],"immense":[14],"efforts":[15],"and":[16,69,74,89,93,111,120,143,167,223],"acquisitions":[17],"enormous":[19],"amounts":[20],"data,":[23],"model":[25,286],"the":[27,32,57,62,65,70,104,133,149,165,185,196,215,233,249,256,274,279,288,293],"whole":[29,290],"at":[31,61,205,251,292],"nanoscale":[33,63],"has":[34],"not":[35],"yet":[36],"been":[37],"developed.":[38],"The":[39,127,229],"goal":[40],"this":[42,182,272],"work":[43],"is":[44,192,208,273],"to":[45,108,116,123,163,194,242,277,282],"estimate":[46,278],"high":[47],"performance":[48],"computing":[49],"(HPC)":[50],"requirements":[51,77,231,281],"needed":[52,136],"for":[53,80,137,181,232,244],"morphology":[54,285],"modeling":[55],"entire":[58],"including":[64],"segmentation":[66],"neurons":[68,139,166,197,250],"calculation":[71,234,257],"chemical":[73,118,236],"electrical":[75,125,259],"synapses.These":[76],"are":[78,132,179,226,238],"estimated":[79],"different":[81],"computers":[82],"(1":[83,101],"giga-,":[84],"1":[85,87,90,121,150,252],"tera-,":[86],"peta-,":[88],"exa":[91],"FLOPS)":[92],"various":[94],"spatial":[95,152],"resolutions":[96],"volumetric":[98],"data":[100],"\u00b5m":[102,107,151],"as":[103],"reference,":[105],"0.5":[106],"handle":[109,117,124],"axons":[110],"large":[112],"dendrites,":[113],"10":[114,186],"nm":[115,122,187,253],"synapses,":[119,260],"synapses).":[126],"determined":[128],"numbers":[129],"operations":[131],"lower-bound":[134],"estimates":[135],"segmenting":[138],"by":[140,146],"region":[141],"growing":[142],"calculating":[144],"synapses":[145,237],"multi-directional":[147],"sampling.At":[148],"resolution,":[153,188],"giga":[155],"FLOPS":[156,171],"computer":[157],"needs":[158],"more":[159,219,265],"than":[160,201,266],"2":[161,267],"years":[162],"segment":[164,195,248],"only":[168,209],"tera":[170],"(taking":[172],"over":[173],"18":[174,202],"hours)":[175],"or":[176],"higher":[177],"supercomputers":[178,221],"suitable":[180],"task.":[183],"At":[184],"an":[189,261],"exascale":[190,212,220,262],"supercomputer":[191,213,263],"able":[193],"in":[198,214,240],"no":[199],"less":[200],"hours":[203],"(and":[204],"present":[206],"there":[207],"one":[210],"operating":[211],"world,":[216],"Frontier;":[217],"two":[218],"Aurora":[222],"El":[224],"Capitan":[225],"under":[227],"installation).":[228],"HPC":[230,280],"negligible":[239],"comparison":[241],"those":[243],"neuron":[245],"segmentation.":[246],"To":[247],"level":[254],"enabling":[255],"requires":[264],"years.To":[268],"my":[269],"best":[270],"knowledge,":[271],"first":[275],"attempt":[276],"compute":[283],"nanoscale.":[294]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
