Oct 14, 2021 · Our automated design flow maps the NC-net network from TensorFlow to the crossbar architecture. We tested our designs on both a simulator and a ...
This article proposes the use of aggregated subnets, NC-net, which is a constrained form of the traditional layer structure, to solve the design and ...
Neuromorphic computing chips consisting of crossbar arrays of emergent nonvolatile memory (NVM) have the potential of achieving both high energy efficiency ...
Aug 22, 2022 · 1) We propose a neuromorphic computing system that uses analog NVMs in a crossbar-based architecture. 2) We propose the use of aggregated ...
Abstract: Neuromorphic computing chips consisting of crossbar arrays of emergent nonvolatile memory (NVM) have the potential of achieving both high energy ...
NC-Net: Efficient Neuromorphic Computing Using Aggregated ...
colab.ws › articles › tcad.2021.3120068
Neuromorphic computing chips consisting of crossbar arrays of emergent nonvolatile memory (NVM) have the potential of achieving both high energy efficiency ...
2023. NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. T Luo, L Yang, H Zhang, C Qu ...
NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory · Tao Luo, Liwei Yang, Huaipeng ...
NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory · Tao Luo, Liwei Yang, Huaipeng ...
Aug 6, 2024 · NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. IEEE Trans ...