{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:30:45Z","timestamp":1740144645741,"version":"3.37.3"},"reference-count":12,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Strategic Priority Research Program of Chinese Academy of Sciences","award":["XDC05000000"]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61732018","61872335"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Austrian-Chinese Cooperative R&D Project","award":["171111KYSB20200002"]},{"name":"CAS Project for Young Scientists in Basic Research","award":["YSBR-029"]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Comput. Arch. Lett."],"published-print":{"date-parts":[[2022,1,1]]},"DOI":"10.1109\/lca.2022.3168067","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T19:35:45Z","timestamp":1650396945000},"page":"21-24","source":"Crossref","is-referenced-by-count":8,"title":["Characterizing and Understanding Distributed GNN Training on GPUs"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8259-4265","authenticated-orcid":false,"given":"Haiyang","family":"Lin","sequence":"first","affiliation":[{"name":"SKLCA, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6915-955X","authenticated-orcid":false,"given":"Mingyu","family":"Yan","sequence":"additional","affiliation":[{"name":"SKLCA, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8511-6122","authenticated-orcid":false,"given":"Xiaocheng","family":"Yang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences (CAS), Institute of Computing Technology (ICT), Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0990-1190","authenticated-orcid":false,"given":"Mo","family":"Zou","sequence":"additional","affiliation":[{"name":"SKLCA, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China"}]},{"given":"Wenming","family":"Li","sequence":"additional","affiliation":[{"name":"SKLCA, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4598-1685","authenticated-orcid":false,"given":"Xiaochun","family":"Ye","sequence":"additional","affiliation":[{"name":"SKLCA, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China"}]},{"given":"Dongrui","family":"Fan","sequence":"additional","affiliation":[{"name":"SKLCA, Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS), Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"22118","article-title":"Open graph benchmark: Datasets for machine learning on graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Hu"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IA351965.2020.00011"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3419111.3421281"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3458817.3480856"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539177"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LCA.2020.2970395"},{"article-title":"Fast graph representation learning with pytorch geometric","year":"2019","author":"Fey","key":"ref7"},{"author":"Kipf","key":"ref8","article-title":"Semi-supervised classification with graph convolutional networks"},{"key":"ref9","first-page":"20","article-title":"Graph attention networks","volume-title":"Statistics","volume":"1050","author":"Velickovic"},{"key":"ref10","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS51385.2021.00029"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ISPASS51385.2021.00013"}],"container-title":["IEEE Computer Architecture Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10208\/9667160\/09760056.pdf?arnumber=9760056","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T20:45:51Z","timestamp":1705956351000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9760056\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,1]]},"references-count":12,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/lca.2022.3168067","relation":{},"ISSN":["1556-6056","1556-6064","2473-2575"],"issn-type":[{"type":"print","value":"1556-6056"},{"type":"electronic","value":"1556-6064"},{"type":"electronic","value":"2473-2575"}],"subject":[],"published":{"date-parts":[[2022,1,1]]}}}