Nvidia数据中心处理单元(DPU)架构

Idan Burstein
{"title":"Nvidia数据中心处理单元(DPU)架构","authors":"Idan Burstein","doi":"10.1109/HCS52781.2021.9567066","DOIUrl":null,"url":null,"abstract":"NVIDIA DPU Enables the Data Center as the New Unit of Computing The CPU can no longer do it all Must offload & isolate server infrastructure tasks to a DPU Effective DPU must offer hardware acceleration and security isolation To enable such effective DPU, need to develop broad software eco-system to utilize hardware acceleration across variety of disciplines (e.g. HPC, AI/ML, Storage, Networking, Security) - DOCA NVIDIA DPU & DOCA is a computing platform with rich stack optimized ideal for AI, bare metal cloud, cloud supercomputing, storage, gaming, 5G wireless, and more NVIDIA is committed to line rate performance every generation.","PeriodicalId":246531,"journal":{"name":"2021 IEEE Hot Chips 33 Symposium (HCS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"34","resultStr":"{\"title\":\"Nvidia Data Center Processing Unit (DPU) Architecture\",\"authors\":\"Idan Burstein\",\"doi\":\"10.1109/HCS52781.2021.9567066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"NVIDIA DPU Enables the Data Center as the New Unit of Computing The CPU can no longer do it all Must offload & isolate server infrastructure tasks to a DPU Effective DPU must offer hardware acceleration and security isolation To enable such effective DPU, need to develop broad software eco-system to utilize hardware acceleration across variety of disciplines (e.g. HPC, AI/ML, Storage, Networking, Security) - DOCA NVIDIA DPU & DOCA is a computing platform with rich stack optimized ideal for AI, bare metal cloud, cloud supercomputing, storage, gaming, 5G wireless, and more NVIDIA is committed to line rate performance every generation.\",\"PeriodicalId\":246531,\"journal\":{\"name\":\"2021 IEEE Hot Chips 33 Symposium (HCS)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"34\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Hot Chips 33 Symposium (HCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HCS52781.2021.9567066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Hot Chips 33 Symposium (HCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HCS52781.2021.9567066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 34

摘要

NVIDIA DPU使得数据中心的新单元计算CPU再也不能做一切必须卸载和隔离服务器基础设施任务DPU有效DPU必须提供硬件加速和安全隔离等使DPU有效,需要开发广泛的软件生态系统利用硬件加速在各种各样的学科(例如HPC, AI /毫升,存储、网络、安全)——DOCA NVIDIA DPU & DOCA堆栈是一个计算平台,丰富优化适合人工智能,裸机云、云超级计算、存储、游戏、5G无线等等,英伟达每一代都致力于线速性能。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Nvidia Data Center Processing Unit (DPU) Architecture
NVIDIA DPU Enables the Data Center as the New Unit of Computing The CPU can no longer do it all Must offload & isolate server infrastructure tasks to a DPU Effective DPU must offer hardware acceleration and security isolation To enable such effective DPU, need to develop broad software eco-system to utilize hardware acceleration across variety of disciplines (e.g. HPC, AI/ML, Storage, Networking, Security) - DOCA NVIDIA DPU & DOCA is a computing platform with rich stack optimized ideal for AI, bare metal cloud, cloud supercomputing, storage, gaming, 5G wireless, and more NVIDIA is committed to line rate performance every generation.
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
期刊最新文献
Multi-Million Core, Multi-Wafer AI Cluster Next Generation “Zen 3” Core Intel’s Hyperscale-Ready Infrastructure Processing Unit (IPU) Sapphire Rapids SambaNova SN10 RDU:Accelerating Software 2.0 with Dataflow
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1