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Parallelized Block Match Algorithm on Multi-core Processors
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liangbao, Jiao Jing, Zhou Xiao, Shu |
| Copyright Year | 2011 |
| Abstract | In order to increase the coding efficiency of H.264/AVC, this paper proposed a parallelized approach of full search (FS) algorithm for motion estimation on Graphic Processor Unit (GPU) using computing unified device architecture (CUDA). By utilizing the independence among different MBs, we are able to take the full advantage of the computational power of CUDA and speed up the FS motion estimation by a large scale. Experimental results show that our implementation on CUDA can be as much as 50 times faster than existing CPU implementations. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.aicit.org/ijact/ppl/29_%20IJACT_July-29.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Algorithmic efficiency CPU (central processing unit of computer system) CUDA Central processing unit Computation (action) Graphics processing unit H.264/MPEG-4 AVC Motion estimation Multi-core processor Parallel computing |
| Content Type | Text |
| Resource Type | Article |
