{"id":"https://openalex.org/W2901142794","doi":"https://doi.org/10.1145/3286490.3286561","title":"Parallelized Training of Deep NN","display_name":"Parallelized Training of Deep NN","publication_year":2018,"publication_date":"2018-11-21","ids":{"openalex":"https://openalex.org/W2901142794","doi":"https://doi.org/10.1145/3286490.3286561","mag":"2901142794"},"language":"en","primary_location":{"id":"doi:10.1145/3286490.3286561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3286490.3286561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning","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/A5033525964","display_name":"Sebastian J\u00e4ger","orcid":"https://orcid.org/0000-0001-9420-8571"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sebastian J\u00e4ger","raw_affiliation_strings":["inovex GmbH, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"inovex GmbH, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058273069","display_name":"Hans-P\u00e9ter Zorn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hans-Peter Zorn","raw_affiliation_strings":["inovex GmbH, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"inovex GmbH, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011259433","display_name":"Stefan Igel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefan Igel","raw_affiliation_strings":["inovex GmbH, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"inovex GmbH, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025300095","display_name":"Christian Zirpins","orcid":"https://orcid.org/0000-0002-0838-2846"},"institutions":[{"id":"https://openalex.org/I70886390","display_name":"Karlsruhe University of Applied Sciences","ror":"https://ror.org/01c0m1t63","country_code":"DE","type":"education","lineage":["https://openalex.org/I70886390"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Zirpins","raw_affiliation_strings":["Karlsruhe University of Applied Sciences, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe University of Applied Sciences, Karlsruhe, Germany","institution_ids":["https://openalex.org/I70886390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033525964"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77428277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.992900013923645,"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/T10028","display_name":"Topic Modeling","score":0.992900013923645,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9919000267982483,"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/T10320","display_name":"Neural Networks and Applications","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.8466498851776123},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.8144704103469849},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7873537540435791},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.7029302716255188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6285933256149292},{"id":"https://openalex.org/keywords/facilitator","display_name":"Facilitator","score":0.487548291683197},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4767147898674011},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4601159691810608},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.43020790815353394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4078335762023926},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3482264280319214},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0809030830860138},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.05744987726211548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8466498851776123},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.8144704103469849},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7873537540435791},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.7029302716255188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6285933256149292},{"id":"https://openalex.org/C2776831358","wikidata":"https://www.wikidata.org/wiki/Q1150166","display_name":"Facilitator","level":2,"score":0.487548291683197},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4767147898674011},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4601159691810608},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.43020790815353394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4078335762023926},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3482264280319214},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0809030830860138},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.05744987726211548},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3286490.3286561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3286490.3286561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1591801644","https://openalex.org/W1632114991","https://openalex.org/W1967810725","https://openalex.org/W2083842231","https://openalex.org/W2112796928","https://openalex.org/W2186615578","https://openalex.org/W2336650964","https://openalex.org/W2405883473","https://openalex.org/W2750384547","https://openalex.org/W2767236912","https://openalex.org/W2790529647","https://openalex.org/W2899771611","https://openalex.org/W2953384591","https://openalex.org/W2963674387","https://openalex.org/W2964324519","https://openalex.org/W3099464315","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2036724481","https://openalex.org/W2982596590","https://openalex.org/W2251957170","https://openalex.org/W4244650090","https://openalex.org/W2243039620","https://openalex.org/W784119765","https://openalex.org/W2767348847","https://openalex.org/W2064403905","https://openalex.org/W36996740","https://openalex.org/W4390476373"],"abstract_inverted_index":{"Horizontal":[0],"scalability":[1,64],"is":[2],"a":[3,42],"major":[4],"facilitator":[5],"of":[6,28,45,51,68],"recent":[7],"advances":[8],"in":[9],"deep":[10,13,46],"learning.":[11],"Common":[12],"learning":[14,47],"frameworks":[15],"offer":[16],"different":[17],"approaches":[18],"for":[19,41],"scaling":[20],"the":[21,26],"training":[22,30],"process.":[23],"We":[24],"operationalize":[25],"execution":[27],"distributed":[29],"using":[31],"Kubernetes":[32],"and":[33,54,65],"helm":[34],"templates.":[35],"This":[36],"way":[37],"we":[38,56],"lay":[39],"ground":[40],"systematic":[43],"comparison":[44],"frameworks.":[48],"For":[49],"two":[50],"them,":[52],"TensorFlow":[53],"MXNet":[55],"examine":[57],"their":[58],"properties":[59],"with":[60],"regard":[61],"to":[62],"throughput,":[63],"practical":[66],"ease":[67],"use.":[69]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}