{"id":"https://openalex.org/W3006732000","doi":"https://doi.org/10.1109/mm.2020.2975185","title":"Habana Labs Purpose-Built AI Inference and Training Processor Architectures: Scaling AI Training Systems Using Standard Ethernet With Gaudi Processor","display_name":"Habana Labs Purpose-Built AI Inference and Training Processor Architectures: Scaling AI Training Systems Using Standard Ethernet With Gaudi Processor","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3006732000","doi":"https://doi.org/10.1109/mm.2020.2975185","mag":"3006732000"},"language":"en","primary_location":{"id":"doi:10.1109/mm.2020.2975185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mm.2020.2975185","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-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/A5034660286","display_name":"Eitan Medina","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eitan Medina","raw_affiliation_strings":["Habana Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Habana Labs","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049190873","display_name":"Eran Dagan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eran Dagan","raw_affiliation_strings":["Habana Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Habana Labs","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034660286"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2085,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.9429557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"40","issue":"2","first_page":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12216","display_name":"Network Time Synchronization Technologies","score":0.8920000195503235,"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"}},"topics":[{"id":"https://openalex.org/T12216","display_name":"Network Time Synchronization Technologies","score":0.8920000195503235,"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"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.8794999718666077,"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/T13382","display_name":"Robotics and Automated Systems","score":0.8457000255584717,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.8461378216743469},{"id":"https://openalex.org/keywords/ethernet","display_name":"Ethernet","score":0.7389629483222961},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5281424522399902},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5228986144065857},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.4555160105228424},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.43712013959884644},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4191516935825348},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4167451858520508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21970400214195251},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08006039261817932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8461378216743469},{"id":"https://openalex.org/C172173386","wikidata":"https://www.wikidata.org/wiki/Q79984","display_name":"Ethernet","level":2,"score":0.7389629483222961},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5281424522399902},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5228986144065857},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.4555160105228424},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.43712013959884644},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4191516935825348},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4167451858520508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21970400214195251},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08006039261817932},{"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:10.1109/mm.2020.2975185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mm.2020.2975185","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2962881747","https://openalex.org/W4289300273","https://openalex.org/W6756592394"],"related_works":["https://openalex.org/W2136583354","https://openalex.org/W2111238207","https://openalex.org/W2055243143","https://openalex.org/W2760721665","https://openalex.org/W2112044895","https://openalex.org/W330130819","https://openalex.org/W3008625068","https://openalex.org/W3128807919","https://openalex.org/W3176411177","https://openalex.org/W3035501883"],"abstract_inverted_index":{"The":[0],"growing":[1],"computational":[2],"requirements":[3],"of":[4,37],"AI":[5,22,72],"applications":[6],"are":[7],"challenging":[8],"today's":[9],"general-purpose":[10],"CPU":[11],"and":[12,15,40,51],"GPU":[13],"architectures":[14],"driving":[16],"the":[17,32,63,70],"need":[18,64],"for":[19,44,65],"purpose-built,":[20],"programmable":[21],"solutions.":[23],"Habana":[24,68],"Labs":[25],"designed":[26],"its":[27,41],"Goya":[28],"processor":[29,43],"to":[30,56,75],"meet":[31],"high":[33],"throughput/low":[34],"latency":[35],"demands":[36],"Inference":[38],"workloads,":[39],"Gaudi":[42],"throughput":[45],"combined":[46],"with":[47],"massive":[48],"scale":[49,52],"up":[50],"out":[53],"capability":[54],"needed":[55],"speed":[57],"training":[58,81],"workloads":[59],"efficiently.":[60],"To":[61],"address":[62],"scaling":[66],"training,":[67],"is":[69],"first":[71],"chip":[73],"developer":[74],"integrate":[76],"standard":[77],"Ethernet":[78],"onto":[79],"a":[80],"processor.":[82]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}