Name
Abstract | ||
|---|---|---|
A large number of video applications require real-time response. The high-speed video processing then requires a distributed and parallelized framework utilizing all possible computing resources, i.e., both Central Processing Unit (CPU) and Graphics Processing Unit (GPU) at their best. The CPU-GPU collaboration may cause resource imbalance where GPU-based jobs consume less computing resources whil... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TII.2016.2560802 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Storms,Topology,Measurement,Switches,Streaming media,Monitoring,Graphics processing units | Video processing,Central processing unit,Workload,Computer science,Real-time computing,General-purpose computing on graphics processing units,Graphics processing unit,Reusability,Embedded system,Scalability,Cloud computing | Journal |
Volume | Issue | ISSN |
12 | 6 | 1551-3203 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weishan Zhang | 1 | 396 | 52.57 |
| Pengcheng Duan | 2 | 48 | 5.08 |
| Wenjuan Gong | 3 | 80 | 10.28 |
| Qinghua Lu | 4 | 145 | 18.63 |
| Su Yang | 5 | 44 | 4.27 |