Name
Abstract | ||
|---|---|---|
Emerging video-mining applications such as image and video retrieval and indexing will require real-time processing capabilities. A many-core architecture with 64 small, in-order, general-purpose cores as the accelerator can help meet the necessary performance goals and requirements. The key video-mining modules can achieve parallel speedups of 19× to 62× from 64 cores and get an extra 2.3× speedup from 128-bit SIMD vectorization on the proposed architecture. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/MM.2008.64 | IEEE Micro |
Keywords | Field | DocType |
128-bit simd vectorization,real-time processing capability,many-core architecture,general-purpose core,key video-mining module,video-mining application,parallel speedup,general-purpose cores,video retrieval,video-mining applications,necessary performance goal,proposed architecture,indexation,thread level parallelism,indexing,multicore,real time processing,feature extraction,real time systems,data level parallelism,classification algorithms,image retrieval,simd,face,data mining | Task parallelism,Computer science,Parallel computing,Vectorization (mathematics),Search engine indexing,Image retrieval,SIMD,Data parallelism,Multi-core processor,Speedup | Journal |
Volume | Issue | ISSN |
28 | 5 | 0272-1732 |
Citations | PageRank | References |
7 | 0.73 | 8 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric Q. Li | 1 | 102 | 8.17 |
| Wenlong Li | 2 | 80 | 7.94 |
| Xiaofeng Tong | 3 | 336 | 22.08 |
| Jianguo Li | 4 | 377 | 35.38 |
| Yurong Chen | 5 | 460 | 26.86 |
| Tao Wang | 6 | 238 | 23.70 |
| Patricia P. Wang | 7 | 25 | 3.79 |
| Wei Hu | 8 | 182 | 14.17 |
| Yangzhou Du | 9 | 169 | 13.85 |
| Yimin Zhang | 10 | 359 | 28.66 |
| Yen-Kuang Chen | 11 | 888 | 95.79 |