{"updated":"2025-01-20T03:55:52.781903+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00182827","sets":["1164:1579:9047:9217"]},"path":["9217"],"owner":"11","recid":"182827","title":["A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-07-19"},"_buckets":{"deposit":"8dc0a40e-a558-43a9-8781-a6b263d135b1"},"_deposit":{"id":"182827","pid":{"type":"depid","value":"182827","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning","author_link":["399360","399363","399364","399362","399366","399365","399361","399367"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning"},{"subitem_title":"A study on Network Structure and Parameter Exchange Method in large-scale Cluster for Machine Learning","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"学習方式","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2017-07-19","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"University of Tsukuba／National Institute of Advanced Industrial Science and Technology"},{"subitem_text_value":"University of Tsukuba／National Institute of Advanced Industrial Science and Technology"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology／University of Tsukuba"},{"subitem_text_value":"National Institute of Advanced Industrial Science and Technology／University of Tsukuba"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/182827/files/IPSJ-ARC17227026.pdf","label":"IPSJ-ARC17227026.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ARC17227026.pdf","filesize":[{"value":"288.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"16"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"8de37df7-579e-4ed5-9548-ee917cc024ca","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Duo, Zhang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mingxi, Li"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yusuke, Tanimura"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hidemoto, Nakada"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Duo, Zhang","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mingxi, Li","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yusuke, Tanimura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Hidemoto, Nakada","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10096105","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8574","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"For modern machine learning systems, including deep learning systems, parallelization is inevitable since they are required to process massive amount of training data. One of the hot area of this area is the dataparallel learning where multiple nodes cooperate each other exchanging parameter / gradient periodically. In this paper, we focus on the network resource requirement for this kind of application. We investigate 3-layered Clos network and omega-network adding to the 2-layered fat tree network which we have already reported. As parameter exchange method, we tested direct parameter exchange method and centralized server method. We evaluated these three types of network with SimGrid, a simulator for distributed environment, and confirmed that with suitable parameter exchange methods, we can maintain performance with higher over subscription factor.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"For modern machine learning systems, including deep learning systems, parallelization is inevitable since they are required to process massive amount of training data. One of the hot area of this area is the dataparallel learning where multiple nodes cooperate each other exchanging parameter / gradient periodically. In this paper, we focus on the network resource requirement for this kind of application. We investigate 3-layered Clos network and omega-network adding to the 2-layered fat tree network which we have already reported. As parameter exchange method, we tested direct parameter exchange method and centralized server method. We evaluated these three types of network with SimGrid, a simulator for distributed environment, and confirmed that with suitable parameter exchange methods, we can maintain performance with higher over subscription factor.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告システム・アーキテクチャ（ARC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-07-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"26","bibliographicVolumeNumber":"2017-ARC-227"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:50:24.088513+00:00","id":182827,"links":{}}