Acceleration of Reconfigurable Video Coding Using New Parallel Architectures

نویسندگان

  • Maria Pantoja
  • Nam Ling
چکیده

In this paper we present a novel technique to accelerate reconfigurable video coding with parallel architectures. We focus on the use of the Graphics Processing Unit (GPU) as our platform for parallel processing but the algorithm can be implemented on other parallel architectures. Implementation of the solution shows that execution time is reduced 16-60% depending on the decoder module implemented on the GPU.

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تاریخ انتشار 2010