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文章基本信息

  • 标题:Go Meta! A Case for Generative Programming and DSLs in Performance Critical Systems
  • 本地全文:下载
  • 作者:Tiark Rompf ; Kevin J. Brown ; HyoukJoong Lee
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2015
  • 卷号:32
  • 页码:238-261
  • DOI:10.4230/LIPIcs.SNAPL.2015.238
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:Performance; Generative Programming; Staging; DSLs
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