In this work, a methodology is presented for modelling the power consumption of FPGA-based CNN accelerators using a high-level description of modules, together ...

Feb 3, 2020 · In this work, a methodology is presented for modelling the power consumption of FPGA-based CNN accelerators using a high-level description of modules.

A methodology is presented for modelling the power consumption of FPGA-based CNN accelerators using a high-level description of modules, together with a ...

fpgaConvNet was chosen as a basis for our work because of the existing hardware templates for fundamental CNN layers and the tooling infrastructure that ...

The project will focus on the research and development of methodologies and tools that would enable the reduction of energy and power consumption of the ...

Power-aware FPGA mapping of convolutional neural networks. A Montgomerie-Corcoran, SI Venieris, CS Bouganis. 2019 International Conference on Field-Programmable ...

This work explores the power consumption aspect of fpgaConvNet, producing high-level models of how design choices affect the power consumption of the ...

A toolflow for designing Convolutional Neural Network (CNN) accelerators for FPGAs with state-of-the-art performance and efficiency.

Convolutional Neural Network (CNN) achieves the state-of-art performance in image recognition, natural language processing and bioinformatics.

The predictive power of Convolutional Neural Networks (CNNs) has been an integral factor for emerging latency-sensitive applications, such as autonomous drones ...