Abstract | ||
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Following the trend of increasing autonomy in cyber-physical systems, parallel embedded architectures have enabled devices to better handle the large streams of data and intensive computation required by such autonomous systems. However, while the explosion of highly-parallel platforms has seen a proportional growth in the number of applications/devices that utilize these platforms, the embedded s... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TPDS.2021.3081019 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | DocType | Volume |
Task analysis,Real-time systems,Parallel processing,Message systems,Schedules,Multicore processing,Instruction sets | Journal | 32 |
Issue | ISSN | Citations |
12 | 1045-9219 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zheng Dong | 1 | 51 | 9.62 |
Kecheng Yang | 2 | 46 | 6.99 |
Nathan Wayne Fisher | 3 | 26 | 2.43 |
Cong Liu | 4 | 780 | 56.17 |