使用fixify环境实现浮点到定点的自动转换

P. Belanovic, M. Rupp
{"title":"使用fixify环境实现浮点到定点的自动转换","authors":"P. Belanovic, M. Rupp","doi":"10.1109/RSP.2005.15","DOIUrl":null,"url":null,"abstract":"Conversion from floating-point to fixed-point formats is a necessary step in the design process of embedded systems and is traditionally performed manually. Automating this conversion process brings significant and much needed improvement in the efficiency of the design process. The fixify environment presented here fully automates the conversion process and comprises three optimization methods. The restricted-set full search algorithm is suited to designs that will be implemented on DSP cores and is, for such designs, guaranteed to find globally optimal solutions. On the other hand, the greedy search algorithm finds solution in the continuous search space and produces nearly optimal results, with the shortest required runtime. The branch-and-bound algorithm also works in the continuous search space and finds optimal solutions, but requires relatively long runtimes.","PeriodicalId":262048,"journal":{"name":"16th IEEE International Workshop on Rapid System Prototyping (RSP'05)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"61","resultStr":"{\"title\":\"Automated floating-point to fixed-point conversion with the fixify environment\",\"authors\":\"P. Belanovic, M. Rupp\",\"doi\":\"10.1109/RSP.2005.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conversion from floating-point to fixed-point formats is a necessary step in the design process of embedded systems and is traditionally performed manually. Automating this conversion process brings significant and much needed improvement in the efficiency of the design process. The fixify environment presented here fully automates the conversion process and comprises three optimization methods. The restricted-set full search algorithm is suited to designs that will be implemented on DSP cores and is, for such designs, guaranteed to find globally optimal solutions. On the other hand, the greedy search algorithm finds solution in the continuous search space and produces nearly optimal results, with the shortest required runtime. The branch-and-bound algorithm also works in the continuous search space and finds optimal solutions, but requires relatively long runtimes.\",\"PeriodicalId\":262048,\"journal\":{\"name\":\"16th IEEE International Workshop on Rapid System Prototyping (RSP'05)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"61\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th IEEE International Workshop on Rapid System Prototyping (RSP'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RSP.2005.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th IEEE International Workshop on Rapid System Prototyping (RSP'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSP.2005.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 61

摘要

从浮点格式到定点格式的转换是嵌入式系统设计过程中的一个必要步骤,传统上是手工完成的。自动化这个转换过程带来了显著的和急需的改进,在设计过程的效率。本文提出的固定环境完全实现了转换过程的自动化,并包括三种优化方法。限制集全搜索算法适用于将在DSP内核上实现的设计,并且对于此类设计,保证找到全局最优解。另一方面,贪婪搜索算法在连续搜索空间中寻找解,并以最短的运行时间产生接近最优的结果。分支定界算法同样适用于连续搜索空间,能够找到最优解,但需要较长的运行时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated floating-point to fixed-point conversion with the fixify environment
Conversion from floating-point to fixed-point formats is a necessary step in the design process of embedded systems and is traditionally performed manually. Automating this conversion process brings significant and much needed improvement in the efficiency of the design process. The fixify environment presented here fully automates the conversion process and comprises three optimization methods. The restricted-set full search algorithm is suited to designs that will be implemented on DSP cores and is, for such designs, guaranteed to find globally optimal solutions. On the other hand, the greedy search algorithm finds solution in the continuous search space and produces nearly optimal results, with the shortest required runtime. The branch-and-bound algorithm also works in the continuous search space and finds optimal solutions, but requires relatively long runtimes.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信