Dymaxion++: A Directive-Based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems
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: 2014DOI: 10.1109/WOCC.2014.6839923
Keyword(s): cloud computing,n data privacy,n trusted computing,n CSP,n CSU,n centralized trust model approach,n cloud computing,n cloud service provider,n cloud service user,n cloud stakeholders,n data privacy,n information security,n third-party auditors,n cloud computing,n data privacy,n security score,n service providers,n trust model
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Dymaxion++: A Directive-Based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems
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| contributor author | Che, Shuai | |
| contributor author | Meng, Jiayuan | |
| contributor author | Skadron, Kevin | |
| date accessioned | 2020-03-12T21:59:21Z | |
| date available | 2020-03-12T21:59:21Z | |
| date issued | 2014 | |
| identifier other | 6969480.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1067537?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Dymaxion++: A Directive-Based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8202249 | |
| subject keywords | cloud computing | |
| subject keywords | n data privacy | |
| subject keywords | n trusted computing | |
| subject keywords | n CSP | |
| subject keywords | n CSU | |
| subject keywords | n centralized trust model approach | |
| subject keywords | n cloud computing | |
| subject keywords | n cloud service provider | |
| subject keywords | n cloud service user | |
| subject keywords | n cloud stakeholders | |
| subject keywords | n data privacy | |
| subject keywords | n information security | |
| subject keywords | n third-party auditors | |
| subject keywords | n cloud computing | |
| subject keywords | n data privacy | |
| subject keywords | n security score | |
| subject keywords | n service providers | |
| subject keywords | n trust model | |
| identifier doi | 10.1109/WOCC.2014.6839923 | |
| journal title | arallel & Distributed Processing Symposium Workshops (IPDPSW), 2014 IEEE International | |
| filesize | 234324 | |
| citations | 0 |