{"title":"扫描问题","authors":"","doi":"10.1109/JPROC.2023.3339908","DOIUrl":null,"url":null,"abstract":"Traditionally, cloud platforms have been based on a single computing device type: central processing units (CPUs). One of the main reasons for this homogeneity of hardware resources has been cost efficiency—for years, cloud providers have reaped the benefits of the economies of scale by buying thousands of very similar types of servers. The homogeneity of servers has other advantages as well, for instance, easy management and scheduling of resources, and simple development and deployment of applications and tools for debugging and tracing. However, in recent years, cloud servers have undergone a significant change. They have progressively shifted to become heterogeneous platforms in which CPUs join forces with special-purpose integrated circuits, e.g., Google’s tensor processing units (TPUs), graphics processing units (GPUs), and field-programmable gate arrays (FPGAs).","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":null,"pages":null},"PeriodicalIF":23.2000,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10364636","citationCount":"0","resultStr":"{\"title\":\"Scanning the Issue\",\"authors\":\"\",\"doi\":\"10.1109/JPROC.2023.3339908\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditionally, cloud platforms have been based on a single computing device type: central processing units (CPUs). One of the main reasons for this homogeneity of hardware resources has been cost efficiency—for years, cloud providers have reaped the benefits of the economies of scale by buying thousands of very similar types of servers. The homogeneity of servers has other advantages as well, for instance, easy management and scheduling of resources, and simple development and deployment of applications and tools for debugging and tracing. However, in recent years, cloud servers have undergone a significant change. They have progressively shifted to become heterogeneous platforms in which CPUs join forces with special-purpose integrated circuits, e.g., Google’s tensor processing units (TPUs), graphics processing units (GPUs), and field-programmable gate arrays (FPGAs).\",\"PeriodicalId\":20556,\"journal\":{\"name\":\"Proceedings of the IEEE\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":23.2000,\"publicationDate\":\"2023-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10364636\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10364636/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10364636/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
传统上,云平台一直基于单一的计算设备类型:中央处理器(CPU)。硬件资源同质化的主要原因之一是成本效益--多年来,云提供商通过购买成千上万台类型非常相似的服务器,获得了规模经济的好处。服务器的同质化也有其他优势,例如,易于管理和调度资源,易于开发和部署应用程序以及用于调试和跟踪的工具。然而,近年来,云服务器发生了重大变化。它们逐渐转变为异构平台,其中 CPU 与专用集成电路(如谷歌的张量处理单元 (TPU)、图形处理单元 (GPU) 和现场可编程门阵列 (FPGA))联手使用。
Traditionally, cloud platforms have been based on a single computing device type: central processing units (CPUs). One of the main reasons for this homogeneity of hardware resources has been cost efficiency—for years, cloud providers have reaped the benefits of the economies of scale by buying thousands of very similar types of servers. The homogeneity of servers has other advantages as well, for instance, easy management and scheduling of resources, and simple development and deployment of applications and tools for debugging and tracing. However, in recent years, cloud servers have undergone a significant change. They have progressively shifted to become heterogeneous platforms in which CPUs join forces with special-purpose integrated circuits, e.g., Google’s tensor processing units (TPUs), graphics processing units (GPUs), and field-programmable gate arrays (FPGAs).
期刊介绍:
Proceedings of the IEEE is the leading journal to provide in-depth review, survey, and tutorial coverage of the technical developments in electronics, electrical and computer engineering, and computer science. Consistently ranked as one of the top journals by Impact Factor, Article Influence Score and more, the journal serves as a trusted resource for engineers around the world.