Worst-case energy consumption minimization based on interference analysis and bank mapping in multicore systems
Energy is a scarce resource in real-time embedded systems due to the fact that most of them run on batteries. Hence, the designers should ensure that the energy constraints are satisfied in addition to the deadline constraints. This necessitates the consideration of the impact of the interference du...
Saved in:
| Main Authors: | Zhihua Gan, Zhimin Gu, Hai Tan, Mingquan Zhang, Jizan Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-02-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147716686969 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Impact of processor frequency scaling on performance and energy consumption for WZ factorization on multicore architecture
by: Beata Bylina, et al.
Published: (2023-09-01) -
Worst-Case Robust Training Design for Correlated MIMO Channels in the Presence of Colored Interference
by: Jae-Mo Kang, et al.
Published: (2025-07-01) -
Multicore structures of oceanic mesoscale eddies
by: Yanjiang Lin
Published: (2025-01-01) -
PARALLELIZING GRAPH ALGORITHM FOR MULTICORE PROCESSORS
by: Vladimir Feoharovich Antonov
Published: (2022-10-01) -
Optimal multicore quantum computing with few interconnects
by: J. Montes, et al.
Published: (2025-06-01)