TILOS AI研究所的AI/ML,优化和EDA

A. Kahng
{"title":"TILOS AI研究所的AI/ML,优化和EDA","authors":"A. Kahng","doi":"10.1145/3526241.3530052","DOIUrl":null,"url":null,"abstract":"Optimization means finding the best possible solution to a given problem -- but challenges of scale and complexity keep many real-world optimization needs beyond reach. The Institute for Learning-enabled Optimization at Scale (TILOS) is a new National AI Research Institute led by UC San Diego in partnership with MIT, National University, Penn, UT Austin and Yale. TILOS is sponsored by the U.S. National Science Foundation, with partial support from Intel Corporation. The TILOS mission: make impossible optimizations possible, at scale and in practice. This talk introduces TILOS, its research agenda, and how it aims to establish a \"national nexus\" of AI and machine learning, optimization, and use domains that include integrated-circuit design and design automation. The talk will point out directions along which the interplay of learning and optimization can boost the scaling and quality of EDA outcomes.","PeriodicalId":188228,"journal":{"name":"Proceedings of the Great Lakes Symposium on VLSI 2022","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"AI/ML, Optimization and EDA in the TILOS AI Research Institute\",\"authors\":\"A. Kahng\",\"doi\":\"10.1145/3526241.3530052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Optimization means finding the best possible solution to a given problem -- but challenges of scale and complexity keep many real-world optimization needs beyond reach. The Institute for Learning-enabled Optimization at Scale (TILOS) is a new National AI Research Institute led by UC San Diego in partnership with MIT, National University, Penn, UT Austin and Yale. TILOS is sponsored by the U.S. National Science Foundation, with partial support from Intel Corporation. The TILOS mission: make impossible optimizations possible, at scale and in practice. This talk introduces TILOS, its research agenda, and how it aims to establish a \\\"national nexus\\\" of AI and machine learning, optimization, and use domains that include integrated-circuit design and design automation. The talk will point out directions along which the interplay of learning and optimization can boost the scaling and quality of EDA outcomes.\",\"PeriodicalId\":188228,\"journal\":{\"name\":\"Proceedings of the Great Lakes Symposium on VLSI 2022\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Great Lakes Symposium on VLSI 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3526241.3530052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Great Lakes Symposium on VLSI 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3526241.3530052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

优化意味着找到给定问题的最佳解决方案,但规模和复杂性的挑战使许多现实世界的优化需求无法实现。大规模学习优化研究所(TILOS)是由加州大学圣地亚哥分校与麻省理工学院、国立大学、宾夕法尼亚大学、德克萨斯大学奥斯汀分校和耶鲁大学合作成立的一个新的国家人工智能研究所。TILOS由美国国家科学基金会赞助,英特尔公司提供部分支持。TILOS的使命是:在规模和实践中使不可能的优化成为可能。本讲座介绍了TILOS,其研究议程,以及它如何旨在建立人工智能和机器学习,优化和使用领域的“国家联系”,包括集成电路设计和设计自动化。该演讲将指出学习和优化的相互作用可以提高EDA结果的规模和质量的方向。
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
AI/ML, Optimization and EDA in the TILOS AI Research Institute
Optimization means finding the best possible solution to a given problem -- but challenges of scale and complexity keep many real-world optimization needs beyond reach. The Institute for Learning-enabled Optimization at Scale (TILOS) is a new National AI Research Institute led by UC San Diego in partnership with MIT, National University, Penn, UT Austin and Yale. TILOS is sponsored by the U.S. National Science Foundation, with partial support from Intel Corporation. The TILOS mission: make impossible optimizations possible, at scale and in practice. This talk introduces TILOS, its research agenda, and how it aims to establish a "national nexus" of AI and machine learning, optimization, and use domains that include integrated-circuit design and design automation. The talk will point out directions along which the interplay of learning and optimization can boost the scaling and quality of EDA outcomes.
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
Reducing Power Consumption using Approximate Encoding for CNN Accelerators at the Edge Design and Evaluation of In-Exact Compressor based Approximate Multipliers MOCCA: A Process Variation Tolerant Systolic DNN Accelerator using CNFETs in Monolithic 3D ENTANGLE: An Enhanced Logic-locking Technique for Thwarting SAT and Structural Attacks Two 0.8 V, Highly Reliable RHBD 10T and 12T SRAM Cells for Aerospace Applications
×
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