{"id":"https://openalex.org/W4312438982","doi":"https://doi.org/10.1109/isvlsi54635.2022.00064","title":"Machine Learning Training on a Real Processing-in-Memory System","display_name":"Machine Learning Training on a Real Processing-in-Memory System","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4312438982","doi":"https://doi.org/10.1109/isvlsi54635.2022.00064"},"language":"en","primary_location":{"id":"doi:10.1109/isvlsi54635.2022.00064","doi":"https://doi.org/10.1109/isvlsi54635.2022.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi54635.2022.00064","pdf_url":null,"source":{"id":"https://openalex.org/S4306418593","display_name":"IEEE Computer Society Annual Symposium on VLSI","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.06022","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044416322","display_name":"Juan G\u00f3mez-Luna","orcid":"https://orcid.org/0000-0002-6514-1571","observed_orcids":["https://orcid.org/0000-0002-6514-1571"]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Juan Gomez-Luna","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101501427","display_name":"Yuxin Guo","orcid":"https://orcid.org/0009-0007-0169-3864","observed_orcids":["https://orcid.org/0009-0007-0169-3864"]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yuxin Guo","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023891765","display_name":"Sylvan Brocard","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sylvan Brocard","raw_affiliation_strings":["UPMEM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPMEM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091278491","display_name":"Julien Legriel","orcid":"https://orcid.org/0009-0003-6183-6004","observed_orcids":["https://orcid.org/0009-0003-6183-6004"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julien Legriel","raw_affiliation_strings":["UPMEM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPMEM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014065776","display_name":"Remy Cimadomo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Remy Cimadomo","raw_affiliation_strings":["UPMEM"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UPMEM","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091016237","display_name":"Geraldo Francisco de Oliveira Junior","orcid":"https://orcid.org/0000-0003-1557-4819","observed_orcids":["https://orcid.org/0000-0003-1557-4819"]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Geraldo F. Oliveira","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014657381","display_name":"Gagandeep Singh","orcid":"https://orcid.org/0000-0002-3502-7401","observed_orcids":["https://orcid.org/0000-0002-3502-7401"]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gagandeep Singh","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050695684","display_name":"Onur Mutlu","orcid":"https://orcid.org/0000-0002-0075-2312","observed_orcids":["https://orcid.org/0000-0002-0075-2312"]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Onur Mutlu","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9137,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.92955363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"292","last_page":"295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.899399995803833,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.899399995803833,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.05719999969005585,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/machine-learning-model-training","display_name":"machine learning training","score":0.9290000200271606},{"id":"https://openalex.org/keywords/in-memory-computing","display_name":"in-memory computing","score":0.9890000224113464},{"id":"https://openalex.org/keywords/data-movement-bottleneck","display_name":"data movement bottleneck","score":0.6039999723434448},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"energy consumption","score":0.753000020980835},{"id":"https://openalex.org/keywords/memory-latency","display_name":"memory latency","score":0.48399999737739563}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8595273494720459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8298194408416748},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6957625150680542},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6229392290115356},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5807777047157288},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.47121018171310425},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.46101322770118713},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4497131109237671},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4121151268482208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40433335304260254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3945157527923584},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2448417842388153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1283772885799408},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11426517367362976},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isvlsi54635.2022.00064","doi":"https://doi.org/10.1109/isvlsi54635.2022.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isvlsi54635.2022.00064","pdf_url":null,"source":{"id":"https://openalex.org/S4306418593","display_name":"IEEE Computer Society Annual Symposium on VLSI","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2206.06022","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.06022","pdf_url":"https://arxiv.org/pdf/2206.06022","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2206.06022","doi":"https://doi.org/10.48550/arxiv.2206.06022","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2206.06022","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.06022","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.06022","pdf_url":"https://arxiv.org/pdf/2206.06022","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320316785","display_name":"VMware","ror":"https://ror.org/01mwmh458"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312438982.pdf","grobid_xml":"https://content.openalex.org/works/W4312438982.grobid-xml"},"referenced_works_count":163,"referenced_works":["https://openalex.org/W2066932","https://openalex.org/W755906292","https://openalex.org/W1496414880","https://openalex.org/W1518772125","https://openalex.org/W1584457851","https://openalex.org/W1622676895","https://openalex.org/W1667652561","https://openalex.org/W1838541359","https://openalex.org/W1844274058","https://openalex.org/W1969911580","https://openalex.org/W1975237352","https://openalex.org/W1981943579","https://openalex.org/W2023083159","https://openalex.org/W2024818089","https://openalex.org/W2030407693","https://openalex.org/W2045431893","https://openalex.org/W2048044823","https://openalex.org/W2048466306","https://openalex.org/W2056118148","https://openalex.org/W2058490651","https://openalex.org/W2059441802","https://openalex.org/W2066280488","https://openalex.org/W2078141470","https://openalex.org/W2081729575","https://openalex.org/W2086112773","https://openalex.org/W2090413838","https://openalex.org/W2092324191","https://openalex.org/W2093524602","https://openalex.org/W2094332102","https://openalex.org/W2112547256","https://openalex.org/W2112980698","https://openalex.org/W2114440330","https://openalex.org/W2116784058","https://openalex.org/W2127945400","https://openalex.org/W2135965542","https://openalex.org/W2136268150","https://openalex.org/W2146276996","https://openalex.org/W2150593711","https://openalex.org/W2164577583","https://openalex.org/W2250217037","https://openalex.org/W2295138987","https://openalex.org/W2332254524","https://openalex.org/W2335240678","https://openalex.org/W2396622873","https://openalex.org/W2402144811","https://openalex.org/W2414912620","https://openalex.org/W2433160560","https://openalex.org/W2474840293","https://openalex.org/W2508602506","https://openalex.org/W2508829112","https://openalex.org/W2511463163","https://openalex.org/W2513721464","https://openalex.org/W2517869808","https://openalex.org/W2518281301","https://openalex.org/W2518511512","https://openalex.org/W2545376626","https://openalex.org/W2556370608","https://openalex.org/W2559524942","https://openalex.org/W2591632264","https://openalex.org/W2605347906","https://openalex.org/W2606722458","https://openalex.org/W2612389039","https://openalex.org/W2612654866","https://openalex.org/W2612905056","https://openalex.org/W2613051255","https://openalex.org/W2613569094","https://openalex.org/W2616915022","https://openalex.org/W2623880136","https://openalex.org/W2736517506","https://openalex.org/W2748573297","https://openalex.org/W2762432221","https://openalex.org/W2766890412","https://openalex.org/W2767588966","https://openalex.org/W2772722366","https://openalex.org/W2789554134","https://openalex.org/W2794243109","https://openalex.org/W2794532328","https://openalex.org/W2794842046","https://openalex.org/W2795118915","https://openalex.org/W2798476846","https://openalex.org/W2798616445","https://openalex.org/W2801000640","https://openalex.org/W2809205380","https://openalex.org/W2809295488","https://openalex.org/W2809524490","https://openalex.org/W2896090304","https://openalex.org/W2896857054","https://openalex.org/W2905808651","https://openalex.org/W2908013846","https://openalex.org/W2921796727","https://openalex.org/W2944576035","https://openalex.org/W2945839280","https://openalex.org/W2945951882","https://openalex.org/W2946017187","https://openalex.org/W2946037574","https://openalex.org/W2946571646","https://openalex.org/W2946829484","https://openalex.org/W2950138172","https://openalex.org/W2952438573","https://openalex.org/W2967324946","https://openalex.org/W2980688670","https://openalex.org/W2982008795","https://openalex.org/W2985123478","https://openalex.org/W3015832319","https://openalex.org/W3016765354","https://openalex.org/W3021458022","https://openalex.org/W3042167479","https://openalex.org/W3042598257","https://openalex.org/W3042963200","https://openalex.org/W3043089744","https://openalex.org/W3044083334","https://openalex.org/W3085951696","https://openalex.org/W3086574032","https://openalex.org/W3092423813","https://openalex.org/W3101416431","https://openalex.org/W3103269557","https://openalex.org/W3108235655","https://openalex.org/W3111721177","https://openalex.org/W3115641744","https://openalex.org/W3124041911","https://openalex.org/W3134177848","https://openalex.org/W3134274954","https://openalex.org/W3135001592","https://openalex.org/W3136119734","https://openalex.org/W3137147200","https://openalex.org/W3153645570","https://openalex.org/W3154052911","https://openalex.org/W3157531038","https://openalex.org/W3159649695","https://openalex.org/W3160785215","https://openalex.org/W3161639821","https://openalex.org/W3167833281","https://openalex.org/W3189166979","https://openalex.org/W3190062760","https://openalex.org/W3191222816","https://openalex.org/W3201951111","https://openalex.org/W3202917172","https://openalex.org/W3213084269","https://openalex.org/W4210934944","https://openalex.org/W4213251304","https://openalex.org/W4214625488","https://openalex.org/W4214734582","https://openalex.org/W4221001402","https://openalex.org/W4221149933","https://openalex.org/W4234107648","https://openalex.org/W4236362309","https://openalex.org/W4242841269","https://openalex.org/W4245348408","https://openalex.org/W4247512567","https://openalex.org/W4249322926","https://openalex.org/W4251693568","https://openalex.org/W4284886102","https://openalex.org/W4285121610","https://openalex.org/W4285675053","https://openalex.org/W4289827499","https://openalex.org/W4304699827","https://openalex.org/W4323065793","https://openalex.org/W4381894570","https://openalex.org/W6730115932","https://openalex.org/W6776227104","https://openalex.org/W6791869239","https://openalex.org/W6809544605","https://openalex.org/W6922095860"],"related_works":["https://openalex.org/W6950263549","https://openalex.org/W4403334538","https://openalex.org/W4381894570","https://openalex.org/W4313047559","https://openalex.org/W2965339519","https://openalex.org/W3175034425","https://openalex.org/W2967324946","https://openalex.org/W4312574649","https://openalex.org/W7126335040","https://openalex.org/W4312576111"],"abstract_inverted_index":{"Machine":[0],"learning":[1,51],"(ML)":[2],"algorithms":[3,31,52],"[1]\u2013[6]":[4],"have":[5],"become":[6,102],"ubiquitous":[7],"in":[8,38,68,85],"many":[9],"fields":[10],"of":[11,62,93,105],"science":[12],"and":[13,22,81,89,115],"technology":[14],"due":[15],"to":[16,19,42,117],"their":[17,35],"ability":[18],"learn":[20],"from":[21],"improve":[23,43],"with":[24,26],"experience":[25],"minimal":[27],"human":[28],"intervention.":[29],"These":[30],"train":[32],"by":[33],"updating":[34],"model":[36],"parameters":[37],"an":[39],"iterative":[40],"manner":[41],"the":[44,94,103,106],"overall":[45],"prediction":[46],"accuracy.":[47],"However,":[48],"training":[49,63,66,107],"machine":[50],"is":[53,111],"a":[54,90],"computation-ally":[55],"intensive":[56],"process,":[57,108],"which":[58,83],"requires":[59],"large":[60,91],"amounts":[61],"data.":[64],"Accessing":[65],"data":[67,77,99],"current":[69],"processor-centric":[70],"systems":[71],"(e.g.,":[72],"CPU,":[73],"GPU)":[74],"implies":[75],"costly":[76],"movement":[78,100],"between":[79],"memory":[80],"processors,":[82],"results":[84],"high":[86],"energy":[87],"consumption":[88],"percentage":[92],"total":[95],"execution":[96],"cycles.":[97],"This":[98],"can":[101],"bottleneck":[104],"if":[109],"there":[110],"not":[112],"enough":[113],"computation":[114],"locality":[116],"amortize":[118],"its":[119],"cost.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-01-04T00:00:00"}