convolutionalneuralnetworkhardware

由 H Park 著作 · 2018 · 被引用 5 次 — Abstract— We propose a Digital Neuron, a hardware inference accelerator for convolutional deep neural networks with integer.

由 M Gu 著作 · 2023 · 被引用 16 次 — This paper proposes a low-power CNN hardware architecture for ECG classification with good performance in terms of resources and hardware consumption. The ...

由 D Ghimire 著作 · 2022 · 被引用 117 次 — Our survey methodology covers from manual design algorithms to automatic algorithms, as well as sole hardware acceleration to hardware and ...

Hardware design of deep convolutional neural networks (CNNs) faces challenges of high computational complexity and data bandwidth as well as huge divergence ...

由 S Messaoud 著作 · 2022 · 被引用 20 次 — In this work, following the data flow model, an interface is created to transfer data from the PS to an accelerated DNN which is implemented at the PL part.

由 P Yao 著作 · 2020 · 被引用 1516 次 — Memristor-enabled neuromorphic computing systems provide a fast and energy-efficient approach to training neural networks.

This hardware accelerator can support complete CNN model architectures along with all the required parameters (weights and biases). The CNN accelerator is ...

The hardware implementation comprises digital logic circuitry that is configured to receive data that defines the CNN to be implemented and is configured to ...

由 R Ding 著作 · 2019 · 被引用 5 次 — In this paper, a special configurable convolution computing array is designed, which contains 15 convolution units, each PE contains 6×6 MAC operations, it can ...