(CGRA4HPC) 2022 Invited Speaker: Pushing the Boundaries of HPC with the Integration of AI

R. Prabhakar
{"title":"(CGRA4HPC) 2022 Invited Speaker: Pushing the Boundaries of HPC with the Integration of AI","authors":"R. Prabhakar","doi":"10.1109/IPDPSW55747.2022.00108","DOIUrl":null,"url":null,"abstract":"As the market for high-performance computing continues to heat up there are constraints caused by the limited processing speed capacity of current architectures like CPUs and GPUs. Higher-resolution image processing requires massive computational capabilities making it challenging and costly for even the most innovative companies to succeed. SambaNova Systems has pioneered the ability to liberate organizations from the limitations of their legacy solutions — providing the core datacenter infrastructure to quickly build and deploy AI technologies at scale. Developers can run a 100-billion parameter model with ease, and enable highperformance processing of complex structures such as high-resolution images, pushing computer vision boundaries far beyond 4k. SambaNova Systems will showcase groundbreaking technology delivered by SambaNova's Reconfigurable Dataflow Architecture™ - an accelerated computing architecture designed to efficiently execute a broad range of AI and HPC applications.","PeriodicalId":286968,"journal":{"name":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","volume":"37 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW55747.2022.00108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

As the market for high-performance computing continues to heat up there are constraints caused by the limited processing speed capacity of current architectures like CPUs and GPUs. Higher-resolution image processing requires massive computational capabilities making it challenging and costly for even the most innovative companies to succeed. SambaNova Systems has pioneered the ability to liberate organizations from the limitations of their legacy solutions — providing the core datacenter infrastructure to quickly build and deploy AI technologies at scale. Developers can run a 100-billion parameter model with ease, and enable highperformance processing of complex structures such as high-resolution images, pushing computer vision boundaries far beyond 4k. SambaNova Systems will showcase groundbreaking technology delivered by SambaNova's Reconfigurable Dataflow Architecture™ - an accelerated computing architecture designed to efficiently execute a broad range of AI and HPC applications.
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
(CGRA4HPC) 2022特邀演讲嘉宾:整合人工智能推动HPC的发展
随着高性能计算市场的持续升温,cpu和gpu等当前架构的处理速度有限造成了一些限制。更高分辨率的图像处理需要大量的计算能力,这使得即使是最具创新性的公司也很难取得成功。SambaNova Systems率先将组织从其遗留解决方案的限制中解放出来,提供核心数据中心基础设施,以快速构建和大规模部署人工智能技术。开发人员可以轻松运行1000亿个参数模型,并实现高分辨率图像等复杂结构的高性能处理,将计算机视觉的界限远远超越4k。SambaNova Systems将展示SambaNova的可重构数据流架构(Reconfigurable Dataflow Architecture™)提供的突破性技术,这是一种加速计算架构,旨在有效执行广泛的人工智能和高性能计算应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
(CGRA4HPC) 2022 Invited Speaker: Pushing the Boundaries of HPC with the Integration of AI Moving from Composable to Programmable Energy-aware neural architecture selection and hyperparameter optimization Smoothing on Dynamic Concurrency Throttling An Analysis of Mapping Polybench Kernels to HPC CGRAs
×
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