Introspective Computing

Karl Taht, R. Balasubramonian
{"title":"Introspective Computing","authors":"Karl Taht, R. Balasubramonian","doi":"10.1109/PACT.2017.49","DOIUrl":null,"url":null,"abstract":"We live in an advent of specialized tasks ranging from graphics, to networking and graph processing, to machine learning and more. While hardware accelerators cater to mainstream demands, general purpose units will always be challenged to run new software. Introspective Computing focuses on building a feedback mechanism to tune dynamic hardware features in real-time. Unlike most prior work, our study is done completely on a real system using hardware resources tunable in most modern Intel processors.","PeriodicalId":438103,"journal":{"name":"2017 26th International Conference on Parallel Architectures and Compilation Techniques (PACT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 26th International Conference on Parallel Architectures and Compilation Techniques (PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACT.2017.49","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

We live in an advent of specialized tasks ranging from graphics, to networking and graph processing, to machine learning and more. While hardware accelerators cater to mainstream demands, general purpose units will always be challenged to run new software. Introspective Computing focuses on building a feedback mechanism to tune dynamic hardware features in real-time. Unlike most prior work, our study is done completely on a real system using hardware resources tunable in most modern Intel processors.
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
内省计算
我们生活在一个专业任务的时代,从图形到网络和图形处理,再到机器学习等等。虽然硬件加速器迎合了主流需求,但通用设备在运行新软件时总是面临挑战。内省计算侧重于构建一种反馈机制来实时调整动态硬件特性。与大多数先前的工作不同,我们的研究完全是在使用大多数现代英特尔处理器可调硬件资源的真实系统上完成的。
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
POSTER: Exploiting Approximations for Energy/Quality Tradeoffs in Service-Based Applications End-to-End Deep Learning of Optimization Heuristics Large Scale Data Clustering Using Memristive k-Median Computation DrMP: Mixed Precision-Aware DRAM for High Performance Approximate and Precise Computing POSTER: Improving Datacenter Efficiency Through Partitioning-Aware Scheduling
×
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