Dymaxion++: A Directive-Based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems
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: 2014شناسه الکترونیک: 10.1109/WOCC.2014.6839923
کلیدواژه(گان): 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 | |
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 |