DUTh: Architectural Improvements for Low-Power and Functional Safety of Dataflow CNN Accelerators using HLS
OnlineDeep Convolution Neural Networks (CNNs) are dominant in modern Machine Learning (ML) applications. Their acceleration directly in hardware calls for a multifaceted approach that combines high-performance, energy efficiency, and functional safety. These requirements hold for every CNN architecture, including both systolic and spatial dataflow alternatives. In this talk, we focus on the latter case, where …