{"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}
引用次数: 0
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).
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.