The Hardware/Software (HW/SW) architectural exploration has become a key component of System on Chip (SoC) design modeling. The insufficient power and timing analysis capabilities at early stages of the design flow limit the optimized modeling. Thus, pushed by the need to improve that shortage and inspired by the numerous studies on Electronic Syst...
Energy-efficient machine learning has been gaining interest due to the increase use of of machine learning, in particular deep learning, in applications that run on mobile and embedded devices. These devices are constrained in terms of resources in computation, memory and power, which limit the adoption of deep learning-based solutions, which are k...
Published in Wireless Personal Communications
This paper provides a significant approach for designing the more accurate power estimation and validation models over the existing power estimation models given in the literature. It is well established that one of the existing power estimation models is not able to accurately estimate the power of the designs incorporated with low power technique...
La forte augmentation du nombre de terminaux connectés ces dernières années et l'utilisation croissante des technologies de communication impacte de manière non négligeable la facture énergétique. Pour enrayer cette augmentation de la consommation énergétique, il devient primordial de pouvoir comparer en termes de consommation les algorithmes de co...
High power consumption is a key factor hindering system-on-chip (SoC) performance. Accurate and efficient power models have to be introduced early in the design flow when most of the optimization potential is possible. However, early accuracy cannot be ensured because of the lack of precise knowledge of the final circuit structure. Current SoC desi...
Nowadays, complex image processing algorithms are a necessity to make UAVs more autonomous. Currently, the processing of images of the on-board camera is often performed on a ground station, thus severely limiting the operating range. On-board processing has numerous advantages, however determining a good trade-off between speed, power consumption ...
Published in Journal of Signal Processing Systems
In this paper we analyze the power consumption and energy efficiency of general matrix-matrix multiplication (GEMM) and Fast Fourier Transform (FFT) implemented as streaming applications for an FPGA-based coprocessor card. The power consumption is measured with internal voltage sensors and the power draw is broken down onto the systems components i...
Published in Journal of Medical Systems
Energy profiling and estimation have been popular areas of research in multicore mobile architectures. While short sequences of system calls have been recognized by machine learning as pattern descriptions for anomalous detection, power consumption of running processes with respect to system-call patterns are not well studied. In this paper, we pro...
The power production of the Lillgrund wind farm is determined numerically using large-eddy simulations and compared with measurements. In order to simulate realistic atmospheric conditions, pre-generated turbulence and wind shear are imposed in the computational domain. The atmospheric conditions are determined from data extracted from a met mast, ...
The power production of the Lillgrund wind farm is determined numerically using large-eddy simulations and compared with measurements. In order to simulate realistic atmospheric conditions, pre-generated turbulence and wind shear are imposed in the computational domain. The atmospheric conditions are determined from data extracted from a met mast, ...
