A conflict-free access method for parallel turbo decoder

Chen Gong, Xiaoyang Li, Zhenzhi Wu, Dake Liu
{"title":"A conflict-free access method for parallel turbo decoder","authors":"Chen Gong, Xiaoyang Li, Zhenzhi Wu, Dake Liu","doi":"10.1109/WCSP.2014.6992119","DOIUrl":null,"url":null,"abstract":"Parallel Turbo decoding encounters conflicts during parallel data accesses because of the sequential data interleaving, and the conflicts lead to a serious decrease of throughput. Traditional conflict-free memory mapping schemes often require a huge cost of hardware, such as the area of memory, which is also a bottleneck in practical implementations. In this work, DSATUR (Degree of Saturation) coloring algorithm is presented to solve the memory mapping problem and a memory subsystem with multiple memory banks is designed to achieve conflict-free data accesses during parallel Turbo decoding. To reduce the area of memory, an optimization for DSATUR coloring algorithm and an optimization for data addresses are proposed. The results of multiple experiments show that the conflicts of data access never occurs for using our memory mapping scheme. The two optimizations reduce 42% of the total area of memory compared with the original DSATUR algorithm without optimizations.","PeriodicalId":412971,"journal":{"name":"2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2014.6992119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

Parallel Turbo decoding encounters conflicts during parallel data accesses because of the sequential data interleaving, and the conflicts lead to a serious decrease of throughput. Traditional conflict-free memory mapping schemes often require a huge cost of hardware, such as the area of memory, which is also a bottleneck in practical implementations. In this work, DSATUR (Degree of Saturation) coloring algorithm is presented to solve the memory mapping problem and a memory subsystem with multiple memory banks is designed to achieve conflict-free data accesses during parallel Turbo decoding. To reduce the area of memory, an optimization for DSATUR coloring algorithm and an optimization for data addresses are proposed. The results of multiple experiments show that the conflicts of data access never occurs for using our memory mapping scheme. The two optimizations reduce 42% of the total area of memory compared with the original DSATUR algorithm without optimizations.
一种并行涡轮解码器的无冲突访问方法
并行Turbo解码在并行数据访问过程中由于数据的顺序交错而产生冲突,导致吞吐量严重下降。传统的无冲突内存映射方案通常需要巨大的硬件成本,例如内存面积,这也是实际实现中的瓶颈。在此工作中,提出了DSATUR(饱和度)着色算法来解决内存映射问题,并设计了一个具有多个存储库的内存子系统来实现并行Turbo解码期间的无冲突数据访问。为了减少内存面积,提出了DSATUR着色算法的优化和数据地址的优化。多个实验结果表明,使用我们的内存映射方案不会发生数据访问冲突。与未经优化的原始DSATUR算法相比,这两种优化减少了42%的总内存面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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