High Performance Image Processing with NVIDIA CUDA
GPU technology, which is developing rapidly in recent years, has attracted the attention of researchers and software developers. Especially the development of programming interfaces that can use GPUs for general-purpose computations, started a new age ın GPU world. These developments triggered new ideas in so many fields such as medical image processing and 3D modeling. Fundamental changes have occurred in some fields such as image processing which require high level data parallelism.
This study examines the CUDA C language which provides development of high-performance applications by parallel programming on NVIDIA CUDA-supported platforms. A sample single object tracking application is developed via using CUDA C. Some of the basic features of the CUDA C language has been tested during application development stage and the results have been presented along with detailed statistics.
ALİZADEH Mehdi
Danışman : Prof. Dr. Sabri ARIK
Anabilim Dalı : Bilgisayar Mühendisliği
Mezuniyet Yılı : 2011
Tez Savunma Jürisi : Prof. Dr. Sabri ARIK
Prof. Dr. Ahmet SERTBAŞ,
Prof.Dr. A. Halim ZAİM
Prof. Dr. Mukden UĞUR,
Prof. Dr. Serdar ÖZOĞUZ
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