Oct 14, 2021 · NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. Abstract ...

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 ...

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 ...

In this article, we propose the use of aggregated subnets , NC-net, which is a constrained form of the traditional layer structure, to solve these issues. With ...

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory ... based on racetrack memory for ...

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory ... use of aggregated subnets, NC-net ...

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory. IEEE Trans. Comput. Aided Des ...

NC-Net: Efficient Neuromorphic Computing Using Aggregated Subnets on a Crossbar-Based Architecture With Nonvolatile Memory ... use of aggregated subnets , NC-net ...

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. DOI PDF 被引用文献1件.