二进制高速浮点乘法器

K. Arun, K. Srivatsan
{"title":"二进制高速浮点乘法器","authors":"K. Arun, K. Srivatsan","doi":"10.1109/ICNETS2.2017.8067953","DOIUrl":null,"url":null,"abstract":"Objective: To implement an algorithm for improving the speed of Floating Point Multiplication. Methods/Statistical analysis: Recursive Dadda algorithm is used for implementing the floating point multiplier. IEEE 754 single precision binary floating point representation is used for representing Floating Point number. For the multiplication of mantissa Carry Save multiplier is replaced by Dadda multiplier for improving the speed. Using Verilog HDL multiplier is implemented and it is targeted to Xilinx vertex-5 FPGA. Improvements: The speed of operation is increased compared with Carry Save Multiplier. The multiplier which we developed handles both overflow and underflow cases.","PeriodicalId":413865,"journal":{"name":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A binary high speed floating point multiplier\",\"authors\":\"K. Arun, K. Srivatsan\",\"doi\":\"10.1109/ICNETS2.2017.8067953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To implement an algorithm for improving the speed of Floating Point Multiplication. Methods/Statistical analysis: Recursive Dadda algorithm is used for implementing the floating point multiplier. IEEE 754 single precision binary floating point representation is used for representing Floating Point number. For the multiplication of mantissa Carry Save multiplier is replaced by Dadda multiplier for improving the speed. Using Verilog HDL multiplier is implemented and it is targeted to Xilinx vertex-5 FPGA. Improvements: The speed of operation is increased compared with Carry Save Multiplier. The multiplier which we developed handles both overflow and underflow cases.\",\"PeriodicalId\":413865,\"journal\":{\"name\":\"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNETS2.2017.8067953\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Nextgen Electronic Technologies: Silicon to Software (ICNETS2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNETS2.2017.8067953","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

目的:实现一种提高浮点乘法运算速度的算法。方法/统计分析:采用递归dada算法实现浮点乘数。浮点数的表示采用IEEE 754单精度二进制浮点表示法。对于尾数的乘法,为提高运算速度,将进位乘法器改为进位乘法器。采用Verilog HDL乘法器实现,针对Xilinx vertex-5 FPGA。改进:操作速度比进位节省乘数增加。我们开发的乘法器可以处理溢出和下溢情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A binary high speed floating point multiplier
Objective: To implement an algorithm for improving the speed of Floating Point Multiplication. Methods/Statistical analysis: Recursive Dadda algorithm is used for implementing the floating point multiplier. IEEE 754 single precision binary floating point representation is used for representing Floating Point number. For the multiplication of mantissa Carry Save multiplier is replaced by Dadda multiplier for improving the speed. Using Verilog HDL multiplier is implemented and it is targeted to Xilinx vertex-5 FPGA. Improvements: The speed of operation is increased compared with Carry Save Multiplier. The multiplier which we developed handles both overflow and underflow cases.
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:481959085
Book学术官方微信