working in- progress: NVIDIA GPU在虚拟化环境中的调度细节

Nicola Capodieci, R. Cavicchioli, M. Bertogna
{"title":"working in- progress: NVIDIA GPU在虚拟化环境中的调度细节","authors":"Nicola Capodieci, R. Cavicchioli, M. Bertogna","doi":"10.1109/EMSOFT.2018.8537220","DOIUrl":null,"url":null,"abstract":"Modern automotive grade embedded platforms feature high performance Graphics Processing Units (GPUs) to support the massively parallel processing power needed for next-generation autonomous driving applications. Hence, a GPU scheduling approach with strong Real-Time guarantees is needed. While previous research efforts focused on reverse engineering the GPU ecosystem in order to understand and control GPU scheduling on NVIDIA platforms, we provide an in depth explanation of the NVIDIA standard approach to GPU application scheduling on a Drive PX platform. Then, we discuss how a privileged scheduling server can be used to enforce arbitrary scheduling policies in a virtualized environment.","PeriodicalId":375994,"journal":{"name":"2018 International Conference on Embedded Software (EMSOFT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Work-in-Progress: NVIDIA GPU Scheduling Details in Virtualized Environments\",\"authors\":\"Nicola Capodieci, R. Cavicchioli, M. Bertogna\",\"doi\":\"10.1109/EMSOFT.2018.8537220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern automotive grade embedded platforms feature high performance Graphics Processing Units (GPUs) to support the massively parallel processing power needed for next-generation autonomous driving applications. Hence, a GPU scheduling approach with strong Real-Time guarantees is needed. While previous research efforts focused on reverse engineering the GPU ecosystem in order to understand and control GPU scheduling on NVIDIA platforms, we provide an in depth explanation of the NVIDIA standard approach to GPU application scheduling on a Drive PX platform. Then, we discuss how a privileged scheduling server can be used to enforce arbitrary scheduling policies in a virtualized environment.\",\"PeriodicalId\":375994,\"journal\":{\"name\":\"2018 International Conference on Embedded Software (EMSOFT)\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Embedded Software (EMSOFT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMSOFT.2018.8537220\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Embedded Software (EMSOFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMSOFT.2018.8537220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

现代汽车级嵌入式平台具有高性能图形处理单元(gpu),以支持下一代自动驾驶应用所需的大规模并行处理能力。因此,需要一种具有强实时性保证的GPU调度方法。虽然以前的研究工作集中在GPU生态系统的逆向工程上,以理解和控制NVIDIA平台上的GPU调度,但我们深入解释了NVIDIA在Drive PX平台上对GPU应用程序调度的标准方法。然后,我们讨论如何使用特权调度服务器在虚拟化环境中执行任意调度策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work-in-Progress: NVIDIA GPU Scheduling Details in Virtualized Environments
Modern automotive grade embedded platforms feature high performance Graphics Processing Units (GPUs) to support the massively parallel processing power needed for next-generation autonomous driving applications. Hence, a GPU scheduling approach with strong Real-Time guarantees is needed. While previous research efforts focused on reverse engineering the GPU ecosystem in order to understand and control GPU scheduling on NVIDIA platforms, we provide an in depth explanation of the NVIDIA standard approach to GPU application scheduling on a Drive PX platform. Then, we discuss how a privileged scheduling server can be used to enforce arbitrary scheduling policies in a virtualized environment.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信