DUTh: Architectural Improvements for Low-Power and Functional Safety of Dataflow CNN Accelerators using HLS

DUTh: Architectural Improvements for Low-Power and Functional Safety of Dataflow CNN Accelerators using HLS
by Admin on 01-25-2023 at 2:36 pm

Deep 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

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