去元!性能关键系统中生成式编程和dsl的案例

Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Arvind K. Sujeeth, Manohar Jonnalagedda, Nada Amin, Georg Ofenbeck, A. Stojanov, Yannis Klonatos, Mohammad Dashti, Christoph E. Koch, Markus Püschel, K. Olukotun
{"title":"去元!性能关键系统中生成式编程和dsl的案例","authors":"Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Arvind K. Sujeeth, Manohar Jonnalagedda, Nada Amin, Georg Ofenbeck, A. Stojanov, Yannis Klonatos, Mohammad Dashti, Christoph E. Koch, Markus Püschel, K. Olukotun","doi":"10.4230/LIPIcs.SNAPL.2015.238","DOIUrl":null,"url":null,"abstract":"Most performance critical software is developed using very low-level techniques. We argue that this needs to change, and that generative programming is an effective avenue to enable the use of high-level languages and programming techniques in many such circumstances.","PeriodicalId":231548,"journal":{"name":"Summit on Advances in Programming Languages","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"Go Meta! A Case for Generative Programming and DSLs in Performance Critical Systems\",\"authors\":\"Tiark Rompf, Kevin J. Brown, HyoukJoong Lee, Arvind K. Sujeeth, Manohar Jonnalagedda, Nada Amin, Georg Ofenbeck, A. Stojanov, Yannis Klonatos, Mohammad Dashti, Christoph E. Koch, Markus Püschel, K. Olukotun\",\"doi\":\"10.4230/LIPIcs.SNAPL.2015.238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most performance critical software is developed using very low-level techniques. We argue that this needs to change, and that generative programming is an effective avenue to enable the use of high-level languages and programming techniques in many such circumstances.\",\"PeriodicalId\":231548,\"journal\":{\"name\":\"Summit on Advances in Programming Languages\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Summit on Advances in Programming Languages\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4230/LIPIcs.SNAPL.2015.238\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Summit on Advances in Programming Languages","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/LIPIcs.SNAPL.2015.238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 30

摘要

大多数性能关键型软件都是使用非常低级的技术开发的。我们认为这种情况需要改变,生成式编程是在许多这样的情况下使用高级语言和编程技术的有效途径。
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
Go Meta! A Case for Generative Programming and DSLs in Performance Critical Systems
Most performance critical software is developed using very low-level techniques. We argue that this needs to change, and that generative programming is an effective avenue to enable the use of high-level languages and programming techniques in many such circumstances.
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
From Theory to Systems: A Grounded Approach to Programming Language Education Linking Types for Multi-Language Software: Have Your Cake and Eat It Too AP: Artificial Programming Fission: Secure Dynamic Code-Splitting for JavaScript Migratory Typing: Ten Years Later
×
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