Y. Horio, Takemori Orima, K. Kiyoyama, M. Koyanagi
{"title":"Implementation of a Chaotic Neural Network Reservoir on a TSV/$\\mu\\text{Bump}$ Stacked 3D Cyclic Neural Network Integrated Circuit","authors":"Y. Horio, Takemori Orima, K. Kiyoyama, M. Koyanagi","doi":"10.1109/3dic52383.2021.9687614","DOIUrl":null,"url":null,"abstract":"A TSV/$\\mu\\text{Bump}$ stacked 3D cyclic deep neural network integrated circuit architecture was proposed. Furthermore, a technique for embedding a chaotic neural network reservoir into the proposed architecture was devised. A proof-of-concept neural network chip, and a weight memory chip have been designed and fabricated to confirm the feasibly of the proposed architecture. In this study, the neuron chip configured as a cyclic chaotic neuron circuit is evaluated by measuring circuit building blocks, and constructing a dedicated MATLAB circuit emulator based on the measurement results from the chip. Some of the results from the MATLAB emulator are illustrated.","PeriodicalId":120750,"journal":{"name":"2021 IEEE International 3D Systems Integration Conference (3DIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International 3D Systems Integration Conference (3DIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3dic52383.2021.9687614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A TSV/$\mu\text{Bump}$ stacked 3D cyclic deep neural network integrated circuit architecture was proposed. Furthermore, a technique for embedding a chaotic neural network reservoir into the proposed architecture was devised. A proof-of-concept neural network chip, and a weight memory chip have been designed and fabricated to confirm the feasibly of the proposed architecture. In this study, the neuron chip configured as a cyclic chaotic neuron circuit is evaluated by measuring circuit building blocks, and constructing a dedicated MATLAB circuit emulator based on the measurement results from the chip. Some of the results from the MATLAB emulator are illustrated.