{"title":"Traditional Architecture Artificial Intelligence Chip Technology","authors":"Qin Jiang, Jiajun Zhan","doi":"10.1109/ICCSMT54525.2021.00086","DOIUrl":null,"url":null,"abstract":"In this paper, we take three kinds of traditional artificial intelligence (AI) chips as the research object: GPU, FPGA and ASIC, introducing the architecture characteristics and advantages of some famous products which have large influences on the development of this technology, such as NVIDIA V100, Cyclone V, Stratix 10 and so on. The traditional AI chips, including GPU chips, FPGA chips, and Low Power AI ASIC, are analyzed in this article. The main focus is on the cutting-edge technologies and designs in artificial intelligence based on these traditional AI chips in recent 10 years, especially the applications on neural networks and model trainings, such as Kubernets+Docker Container, S2N2 (an FPGA accelerator), FNSim (a simulator of flash), which have become hot areas of scientific research for several years and will be brought on stream widely by scientific and technical corporations in the industry.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSMT54525.2021.00086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we take three kinds of traditional artificial intelligence (AI) chips as the research object: GPU, FPGA and ASIC, introducing the architecture characteristics and advantages of some famous products which have large influences on the development of this technology, such as NVIDIA V100, Cyclone V, Stratix 10 and so on. The traditional AI chips, including GPU chips, FPGA chips, and Low Power AI ASIC, are analyzed in this article. The main focus is on the cutting-edge technologies and designs in artificial intelligence based on these traditional AI chips in recent 10 years, especially the applications on neural networks and model trainings, such as Kubernets+Docker Container, S2N2 (an FPGA accelerator), FNSim (a simulator of flash), which have become hot areas of scientific research for several years and will be brought on stream widely by scientific and technical corporations in the industry.
本文以GPU、FPGA和ASIC三种传统人工智能芯片为研究对象,介绍了NVIDIA V100、Cyclone V、Stratix 10等对人工智能技术发展影响较大的知名产品的架构特点和优势。本文分析了传统的人工智能芯片,包括GPU芯片、FPGA芯片和Low Power AI ASIC。主要关注的是近10年来基于这些传统人工智能芯片的人工智能前沿技术和设计,特别是在神经网络和模型训练方面的应用,如Kubernets+Docker Container、S2N2 (FPGA加速器)、FNSim (flash模拟器)等,这些都是近年来科学研究的热点领域,将被行业内的科技公司广泛投入使用。