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Increasing calculation speed without affecting pixel calculation accuracy in fast image processing algorithms using parallel computation was always needed but controlled by Amdahl's Law. In fact increasing number of processors uses same data bus reduces the speed and not allowing us to get the 20 times faster as we expected. As number of processors are limited due to sharing processors same data bus...
Correcting infrared camera distortion is necessary in target tracking and object recognition system. The existent FPGA algorithm didn't utilize sufficiently the advantage of the parallel processing and leaded to the results that a great deal of the system resources were consumed and the running speed was slowed down. The paper analyzed the existing problems such as serial structure in other algorithms,...
This paper presented a high performance method for remote sensing image processing using CUDA-based GPU. And it introduced the process of several common algorithms in remote sensing image processing. Experiments were carried out and results showed that the computing speed of GPU was much faster than that of CPU.
Current undergraduate parallel and distributed computing course faces several problems such as neglecting the importance of the course, lack of programming practice, etc. As multi-core computers spreads, it is necessary to improve the course. The multi-core technology is included as an indispensable teaching material, parallel programming is enhanced and several practical projects are designed to...
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