{"id":"https://openalex.org/W3044458479","doi":"https://doi.org/10.1145/3311790.3399627","title":"Optimizing a Specialized Convolutional Neural Network in a Supercomputing Environment Using Tensorflow and VisIt","display_name":"Optimizing a Specialized Convolutional Neural Network in a Supercomputing Environment Using Tensorflow and VisIt","publication_year":2020,"publication_date":"2020-07-22","ids":{"openalex":"https://openalex.org/W3044458479","doi":"https://doi.org/10.1145/3311790.3399627","mag":"3044458479"},"language":"en","primary_location":{"id":"doi:10.1145/3311790.3399627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3311790.3399627","pdf_url":null,"source":{"id":"https://openalex.org/S4306523034","display_name":"Practice and Experience in Advanced Research Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Practice and Experience in Advanced Research Computing","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/A5110906163","display_name":"Brian E. Leonard","orcid":null},"institutions":[{"id":"https://openalex.org/I35765314","display_name":"Pittsburgh Supercomputing Center","ror":"https://ror.org/04tac1482","country_code":"US","type":"facility","lineage":["https://openalex.org/I35765314"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Brian Leonard","raw_affiliation_strings":["Pittsburgh Supercomputing Center CMU, USA"],"affiliations":[{"raw_affiliation_string":"Pittsburgh Supercomputing Center CMU, USA","institution_ids":["https://openalex.org/I35765314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008108095","display_name":"Minyue Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I2802039673","display_name":"California Miramar University","ror":"https://ror.org/04phxq043","country_code":"US","type":"education","lineage":["https://openalex.org/I2802039673"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minyue Fan","raw_affiliation_strings":["CMU, USA"],"affiliations":[{"raw_affiliation_string":"CMU, USA","institution_ids":["https://openalex.org/I2802039673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039822177","display_name":"Joel Welling","orcid":"https://orcid.org/0000-0003-1423-7001"},"institutions":[{"id":"https://openalex.org/I35765314","display_name":"Pittsburgh Supercomputing Center","ror":"https://ror.org/04tac1482","country_code":"US","type":"facility","lineage":["https://openalex.org/I35765314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel S. Welling","raw_affiliation_strings":["Pittsburgh Supercomputing Center CMU, USA"],"affiliations":[{"raw_affiliation_string":"Pittsburgh Supercomputing Center CMU, USA","institution_ids":["https://openalex.org/I35765314"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110906163"],"corresponding_institution_ids":["https://openalex.org/I35765314"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05592666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"473","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9912999868392944,"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":0.9912999868392944,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9771999716758728,"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/supercomputer","display_name":"Supercomputer","score":0.8195034861564636},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7815680503845215},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.73740553855896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5643026828765869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5614122748374939},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5514265298843384},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48988741636276245},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.46690019965171814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38429325819015503},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3508419990539551},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.27110108733177185}],"concepts":[{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.8195034861564636},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7815680503845215},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.73740553855896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5643026828765869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5614122748374939},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5514265298843384},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48988741636276245},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.46690019965171814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38429325819015503},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3508419990539551},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.27110108733177185}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3311790.3399627","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3311790.3399627","pdf_url":null,"source":{"id":"https://openalex.org/S4306523034","display_name":"Practice and Experience in Advanced Research Computing","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Practice and Experience in Advanced Research Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2193756326","display_name":null,"funder_award_id":"OAC- 1445606","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310174","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305"},{"id":"https://openalex.org/F4320332721","display_name":"School of Computer Science, Carnegie Mellon University","ror":"https://ror.org/05x2bcf33"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2163314583","https://openalex.org/W2164741953","https://openalex.org/W2261263381","https://openalex.org/W2584422807","https://openalex.org/W2612078078","https://openalex.org/W2802456841","https://openalex.org/W2979240068","https://openalex.org/W3103104751"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4206951940","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"We":[0,63,108],"describe":[1],"hyper-parameter":[2],"optimization":[3],"and":[4,72,89,121,138,146],"training":[5,114],"for":[6,22,163],"a":[7,23,27,40,49,60,96],"novel":[8],"convolutional":[9,28],"neural":[10,14,29],"network":[11,30,50,93,127,133],"that":[12,51],"identifies":[13],"axons":[15],"in":[16,35,59,157],"3D":[17],"volume":[18,100,120],"electron":[19],"microscope":[20],"data":[21],"larval":[24],"zebrafish.":[25],"Training":[26],"to":[31,55,101,112,134,153],"detect":[32,155],"image":[33],"components":[34],"three":[36,98,158],"dimensional":[37,99,159],"space":[38,160],"has":[39],"variety":[41],"of":[42,48,91,105,125,148],"applications.":[43,167],"There":[44],"are":[45],"many":[46],"parts":[47],"can":[52],"be":[53],"tuned":[54],"work":[56],"most":[57],"effectively":[58],"supercomputing":[61,136],"environment.":[62],"optimized":[64],"run":[65],"parameters":[66],"including":[67],"batch":[68],"sizes,":[69],"thread":[70],"counts,":[71],"epoch":[73],"sizes":[74],"as":[75,77,80],"well":[76],"hyper-parameters":[78],"such":[79],"drop-out":[81],"rates.":[82],"Once":[83],"we":[84,94],"had":[85],"improved":[86,122],"the":[87,92,103,106,118,123,126,132,140,144,149],"speed":[88],"accuracy":[90,124,145],"created":[95],"large":[97],"visualize":[102],"errors":[104],"network.":[107,150],"added":[109],"new":[110],"samples":[111],"our":[113,135],"set":[115],"based":[116],"on":[117],"larger":[119],"using":[128],"those":[129],"samples.":[130],"Adapting":[131],"environment":[137],"adjusting":[139],"dropout":[141],"layers":[142],"increased":[143],"efficiency":[147],"Being":[151],"able":[152],"accurately":[154],"neurons":[156],"shows":[161],"potential":[162],"other":[164],"deep":[165],"learning":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
