We explore the limits of adaptive voltage scaling (AVS) applied to commercial FPGAs which do not specifically support voltage adaptation. An adaptive power architecture based on a modified design flow is created with in-situ detectors and dynamic reconfiguration of clock management resources. Then we also investigate Big-Little configuration using low-power near-threshod-voltage ARM processors
Learn about dynamic and adaptive voltage scaling on FPGAs
J. L. Nunez-Yanez, 'Adaptive Voltage Scaling with In-Situ Detectors in Commercial FPGAs', in IEEE Transactions on Computers, vol. 64, no. 1, pp. 45-53, 1 Jan. 2015, doi: 10.1109/TC.2014.2365963.
J. Luis Nunez-Yanez, M. Hosseinabady and A. Beldachi, 'Energy Optimization in Commercial FPGAs with Voltage, Frequency and Logic Scaling',in IEEE Transactions on Computers, vol. 65, no. 5, pp. 1484-1493, 1 May 2016, doi: 10.1109/TC.2015.2435771.
J. Nunez-Yanez,, 'Energy Proportional Neural Network Inference with Adaptive Voltage and Frequency Scaling',.in IEEE Transactions on Computers, vol. 68, no. 5, pp. 676-687, 1 May 2019, doi: 10.1109/TC.2018.2879333.
'Check this demo'
Learn about near-threshold voltage processors and their applications to deep learning
Jose Nunez-Yanez, Neil Howard,Energy-efficient neural networks with near-threshold processors and hardware accelerators,Journal of Systems Architecture,Volume 116,2021,ISSN 1383-7621,
Shen, Z.; Howard, N.; Nunez-Yanez, J.Big–Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors. J. Low Power Electron. Appl. 2022, 12, 28.
Learn about energy efficient deep learning with adaptive entropy-driven inference
Kwan, E.Y.L.; Nunez-Yanez, J.Entropy-Driven Adaptive Filtering for High-Accuracy and Resource-Efficient FPGA-Based Neural Network Systems.Electronics 2020, 9,