基于跳跃索引规则手册的低功耗移动设备三维/四维点云图像识别稀疏卷积神经网络加速器

2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) Pub Date : 2022-06-12 DOI:10.1109/vlsitechnologyandcir46769.2022.9830178

Qiankai Cao, Jie Gu

{"title":"基于跳跃索引规则手册的低功耗移动设备三维/四维点云图像识别稀疏卷积神经网络加速器","authors":"Qiankai Cao, Jie Gu","doi":"10.1109/vlsitechnologyandcir46769.2022.9830178","DOIUrl":null,"url":null,"abstract":"This work presents the first 3D/4D sparse CNN (SCNN) accelerator for point cloud image recognition on low power devices. A special hopping-index rule book method and efficient data search technique were developed to mitigate the overhead of coordinate management for SCNN. A 65nm test chip for 3D/4D images was demonstrated with 7.09–13.6 TOPS/W power efficiency and state-of-the-art frame rate.","PeriodicalId":332454,"journal":{"name":"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Sparse Convolution Neural Network Accelerator for 3D/4D Point-Cloud Image Recognition on Low Power Mobile Device with Hopping-Index Rule Book for Efficient Coordinate Management\",\"authors\":\"Qiankai Cao, Jie Gu\",\"doi\":\"10.1109/vlsitechnologyandcir46769.2022.9830178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents the first 3D/4D sparse CNN (SCNN) accelerator for point cloud image recognition on low power devices. A special hopping-index rule book method and efficient data search technique were developed to mitigate the overhead of coordinate management for SCNN. A 65nm test chip for 3D/4D images was demonstrated with 7.09–13.6 TOPS/W power efficiency and state-of-the-art frame rate.\",\"PeriodicalId\":332454,\"journal\":{\"name\":\"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

这项工作提出了第一个用于低功耗设备上点云图像识别的3D/4D稀疏CNN (SCNN)加速器。提出了一种特殊的跳跃索引规则手册方法和高效的数据搜索技术，以减轻SCNN的坐标管理开销。演示了3D/4D图像的65nm测试芯片，功率效率为7.09-13.6 TOPS/W，帧率为最先进水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

A Sparse Convolution Neural Network Accelerator for 3D/4D Point-Cloud Image Recognition on Low Power Mobile Device with Hopping-Index Rule Book for Efficient Coordinate Management

This work presents the first 3D/4D sparse CNN (SCNN) accelerator for point cloud image recognition on low power devices. A special hopping-index rule book method and efficient data search technique were developed to mitigate the overhead of coordinate management for SCNN. A 65nm test chip for 3D/4D images was demonstrated with 7.09–13.6 TOPS/W power efficiency and state-of-the-art frame rate.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)

自引率

0.00%

发文量