000 01956cam a2200349 a 4500
003 EG-GiCUC
005 20250223031654.0
008 170226s2016 ua e f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
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
300 _a78 P. :
_bplans ;
_c30cm
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
700 0 _aHossam Ali Hassan Fahmy ,
_eSupervisor
700 0 _aMohamed Mohamed Rehan ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aSamia
_eCataloger
942 _2ddc
_cTH
999 _c59981
_d59981