{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T15:27:19Z","timestamp":1778254039298,"version":"3.51.4"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030964979","type":"print"},{"value":"9783030964986","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-96498-6_20","type":"book-chapter","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T11:03:04Z","timestamp":1646823784000},"page":"340-357","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["NVIDIA\u2019s Cloud Native Supercomputing"],"prefix":"10.1007","author":[{"given":"Gilad","family":"Shainer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Graham","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris J.","family":"Newburn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oscar","family":"Hernandez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gil","family":"Bloch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Gibbs","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jack C.","family":"Wells","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,10]]},"reference":[{"key":"20_CR1","unstructured":"Ansible: drive automation across open hybrid cloud deployments. https:\/\/www.ansible.com\/overview\/how-ansible-works"},{"key":"20_CR2","unstructured":"Cloud Native Supercomputing Website. https:\/\/www.nvidia.com\/en-us\/networking\/products\/cloud-native-supercomputing\/"},{"key":"20_CR3","unstructured":"Foreman is a complete lifecycle management tool for physical and virtual servers. https:\/\/theforeman.org\/"},{"key":"20_CR4","unstructured":"Gordon Bell prize winners embrace summit to advance COVID-19 research. https:\/\/www.hpcwire.com\/off-the-wire\/gordon-bell-prize-winners-embrace-summit-to-advance-covid-19-research\/"},{"key":"20_CR5","unstructured":"NVIDIA base command: AI workflow and cluster management software. https:\/\/docs.nvidia.com\/base-command\/index.html"},{"key":"20_CR6","unstructured":"NVIDIA base command platform"},{"key":"20_CR7","unstructured":"NVIDIA unveils new data center chips to speed pace of AI. https:\/\/www.datacenterknowledge.com\/machine-learning\/nvidia-unveils-new-data-center-chips-speed-pace-ai"},{"key":"20_CR8","unstructured":"The world\u2019s first cloud-native supercomputer. https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-superpod\/"},{"issue":"15","key":"20_CR9","doi-asserted-by":"publisher","first-page":"1486","DOI":"10.1056\/NEJMlim035027","volume":"348","author":"GJ Annas","year":"2003","unstructured":"Annas, G.J.: HIPAA regulations \u2013 a new era of medical-record privacy? N. Engl. J. Med. 348(15), 1486\u20131490 (2003). PMID: 12686707","journal-title":"N. Engl. J. Med."},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"0 Bezemer, C.-P., Zaidman, A.: Multi-tenant SaaS applications: maintenance dream or nightmare? In: Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE), IWPSE-EVOL 2010, pp. 88\u201392. Association for Computing Machinery, New York, NY, USA (2010)","DOI":"10.1145\/1862372.1862393"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Fagnan, K., Nashed, Y., Perdue, G., Ratner, D., Shankar, A., Yoo, S.: Data and models: a framework for advancing AI in science (2019)","DOI":"10.2172\/1579323"},{"key":"20_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1007\/11925071_18","volume-title":"Middleware 2006","author":"D Gupta","year":"2006","unstructured":"Gupta, D., Cherkasova, L., Gardner, R., Vahdat, A.: Enforcing performance isolation across virtual machines in Xen. In: van Steen, M., Henning, M. (eds.) Middleware 2006. LNCS, vol. 4290, pp. 342\u2013362. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11925071_18"},{"key":"20_CR13","first-page":"19070","volume":"5","author":"M Kumar","year":"2016","unstructured":"Kumar, M.: An incorporation of artificial intelligence capabilities in cloud computing. Int. J. Eng. Comput. Sci. 5, 19070\u201319073 (2016)","journal-title":"Int. J. Eng. Comput. Sci."},{"issue":"5","key":"20_CR14","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1016\/S1361-3723(10)70052-X","volume":"2010","author":"S Mansfield-Devine","year":"2010","unstructured":"Mansfield-Devine, S.: Security through isolation. Comput. Fraud Secur. 2010(5), 8\u201311 (2010)","journal-title":"Comput. Fraud Secur."},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Peterka, T., et al.: ASCR workshop on in situ data management: enabling scientific discovery from diverse data sources (2019)","DOI":"10.2172\/1493245"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Rad, P., Chronopoulos, A.T., Lama, P., Madduri, P., Loader, C.: Benchmarking bare metal cloud servers for HPC applications. In: 2015 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), pp. 153\u2013159 (2015)","DOI":"10.1109\/CCEM.2015.13"},{"key":"20_CR17","doi-asserted-by":"crossref","unstructured":"Rose, S., Borchert, O., Mitchell, S., Connelly, S.: Zero trust architecture. NIST Special Publication 800-207 (2020)","DOI":"10.6028\/NIST.SP.800-207-draft2"},{"key":"20_CR18","unstructured":"SAIC. Report on HPC trends for federal government (2019)"},{"issue":"5","key":"20_CR19","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/MSECP.2003.1236236","volume":"1","author":"FB Schneider","year":"2003","unstructured":"Schneider, F.B.: Least privilege and more [computer security]. IEEE Secur. Priv. 1(5), 55\u201359 (2003)","journal-title":"IEEE Secur. Priv."},{"key":"20_CR20","unstructured":"Stevens, R., Taylor, V., Nichols, J., Maccabe, A.B., Yelick, K., Brown, D.: AI for Science. U.S. Department of Energy Office of Science Report (2019)"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Win, T.Y., Tianfield, H., Mair, Q.: Virtualization security combining mandatory access control and virtual machine introspection. In: 2014 IEEE\/ACM 7th International Conference on Utility and Cloud Computing, pp. 1004\u20131009 (2014)","DOI":"10.1109\/UCC.2014.165"}],"container-title":["Communications in Computer and Information Science","Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-96498-6_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T11:11:07Z","timestamp":1646824267000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-96498-6_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030964979","9783030964986"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-96498-6_20","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"10 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SMC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Smoky Mountains Computational Sciences and Engineering Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"smc2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/smc2021.ornl.gov","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"88","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"38% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}