Projects per year
In this paper, we investigate how to utilize an FPGA in an embedded system to save energy. For this purpose, we study the energy efficiency of a hybrid FPGA-CPU device that can switch task execution between hardware and software with focus on periodic tasks. We have applied the proposed techniques to a robot map creation algorithm as a case study which shows up to 38\% energy reduction compared to using only the FPGA implementation. Overall, experimental results show up to 48\% energy reduction by applying the proposed DEM at runtime on thirteen individual tasks.
- Dynamic Voltage and Frequency Scaling
- Dynamic Power Management
- Dynamic Energy Management
Hosseinabady, M., & Nunez-Yanez, J. (2018). Dynamic Energy Management of FPGA Accelerators in Embedded Systems. ACM Transactions on Embedded Computing Systems, 17(3), . https://doi.org/10.1145/3182172