基于Omni编译器基础结构的现有HPC语言元编程框架

H. Murai, M. Sato, M. Nakao, Jinpil Lee
{"title":"基于Omni编译器基础结构的现有HPC语言元编程框架","authors":"H. Murai, M. Sato, M. Nakao, Jinpil Lee","doi":"10.1109/CANDARW.2018.00054","DOIUrl":null,"url":null,"abstract":"Recently, low productivity owing to more and more complicated programs has become a serious problem in the field of High Performance Computing (HPC). Omni is a compiler infrastructure based on source-to-source translation for Fortran and C. It was developed by RIKEN and the University of Tsukuba. We are developing a metaprogramming framework for existing HPC languages including Fortran based on Omni with a goal of higher productivity of HPC programs. In this paper, we show the design and prototype implementation of this framework, which is based on directives and abstract syntax trees, and evaluate its feasibility and effectiveness. Through case studies of loop unrolling and the data-layout optimization of derived types, it is verified that various kinds of code transformations can be specified with this framework to improve program productivity.","PeriodicalId":329439,"journal":{"name":"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Metaprogramming Framework for Existing HPC Languages Based on the Omni Compiler Infrastructure\",\"authors\":\"H. Murai, M. Sato, M. Nakao, Jinpil Lee\",\"doi\":\"10.1109/CANDARW.2018.00054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, low productivity owing to more and more complicated programs has become a serious problem in the field of High Performance Computing (HPC). Omni is a compiler infrastructure based on source-to-source translation for Fortran and C. It was developed by RIKEN and the University of Tsukuba. We are developing a metaprogramming framework for existing HPC languages including Fortran based on Omni with a goal of higher productivity of HPC programs. In this paper, we show the design and prototype implementation of this framework, which is based on directives and abstract syntax trees, and evaluate its feasibility and effectiveness. Through case studies of loop unrolling and the data-layout optimization of derived types, it is verified that various kinds of code transformations can be specified with this framework to improve program productivity.\",\"PeriodicalId\":329439,\"journal\":{\"name\":\"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CANDARW.2018.00054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CANDARW.2018.00054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

近年来,由于程序越来越复杂而导致的效率低下已成为高性能计算领域的一个严重问题。Omni是基于Fortran和c的源到源翻译的编译器基础设施。它是由日本理化学研究所和筑波大学开发的。我们正在为现有的HPC语言(包括基于Omni的Fortran)开发一个元编程框架,目标是提高HPC程序的生产率。本文给出了基于指令和抽象语法树的框架的设计和原型实现,并对其可行性和有效性进行了评价。通过循环展开和派生类型数据布局优化的实例研究,验证了利用该框架可以指定各种代码转换,从而提高程序生产率。
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
Metaprogramming Framework for Existing HPC Languages Based on the Omni Compiler Infrastructure
Recently, low productivity owing to more and more complicated programs has become a serious problem in the field of High Performance Computing (HPC). Omni is a compiler infrastructure based on source-to-source translation for Fortran and C. It was developed by RIKEN and the University of Tsukuba. We are developing a metaprogramming framework for existing HPC languages including Fortran based on Omni with a goal of higher productivity of HPC programs. In this paper, we show the design and prototype implementation of this framework, which is based on directives and abstract syntax trees, and evaluate its feasibility and effectiveness. Through case studies of loop unrolling and the data-layout optimization of derived types, it is verified that various kinds of code transformations can be specified with this framework to improve program productivity.
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
Towards Improving Data Transfer Efficiency for Accelerators Using Hardware Compression Tile Art Image Generation Using Conditional Generative Adversarial Networks A New Higher Order Differential of FeW Non-volatile Memory Driver for Applying Automated Tiered Storage with Fast Memory and Slow Flash Storage DHT Clustering for Load Balancing Considering Blockchain Data Size
×
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