000 | 01956cam a2200349 a 4500 | ||
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003 | EG-GiCUC | ||
005 | 20250223031654.0 | ||
008 | 170226s2016 ua e f m 000 0 eng d | ||
040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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041 | 0 | _aeng | |
049 | _aDeposite | ||
097 | _aM.Sc | ||
099 | _aCai01.13.08.M.Sc.2016.Ha.H | ||
100 | 0 | _aHazem Abdelmegeed Elsayed Abdelhafez | |
245 | 1 | 0 |
_aHeterogeneous big data cluster for computer vision applications / _cHazem Abdelmegeed Elsayed Abdelhafez ; Supervised Hossam Ali Hassan Fahmy , Ameen Mohamed Nassar , Mohamed Mohamed Rehan |
246 | 1 | 5 | _aمجموعة مشغلات غير متجانسة لحسابات البيانات الكبيرة فى تطبيقات رؤية الحاسب |
260 |
_aCairo : _bHazem Abdelmegeed Elsayed Abdelhafez , _c2016 |
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300 |
_a78 P. : _bplans ; _c30cm |
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502 | _aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications | ||
520 | _aA token based scheduler is developed to enable efficient utilization of graphics processing unit in big-data clusters specifically for computer vision applications. The scheduler addresses the racing conditions that occur on the graphics processing unit due to simultaneous access by the parallel instances of the running application. The presented scheduler enables the porting of computer vision applications to big-data cluster with heterogeneous computing capabilities where multi-core central processing units exist alongside graphical processing unit | ||
530 | _aIssued also as CD | ||
653 | 4 | _aBig data | |
653 | 4 | _aGraphical processing units | |
653 | 4 | _aParallel computing | |
700 | 0 |
_aAmeen Mohamed Nassar , _eSupervisor |
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700 | 0 |
_aHossam Ali Hassan Fahmy , _eSupervisor |
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700 | 0 |
_aMohamed Mohamed Rehan , _eSupervisor |
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856 | _uhttp://172.23.153.220/th.pdf | ||
905 |
_aNazla _eRevisor |
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905 |
_aSamia _eCataloger |
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942 |
_2ddc _cTH |
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999 |
_c59981 _d59981 |