TY  - BOOK
AU  - Hazem Abdelmegeed Elsayed Abdelhafez
AU  - Ameen Mohamed Nassar , 
AU  - Hossam Ali Hassan Fahmy , 
AU  - Mohamed Mohamed Rehan , 
TI  - Heterogeneous big data cluster for computer vision applications / 
PY  - 2016///
CY  - Cairo : 
PB  - Hazem Abdelmegeed Elsayed Abdelhafez , 
KW  - Big data
KW  - Graphical processing units
KW  - Parallel computing
N1  - Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications; Issued also as CD
N2  - A 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
UR  - http://172.23.153.220/th.pdf
ER  -