Next-generation consumer audio application specific embedded processor

Ji Kong, Peilin Liu, Xianmin Chen, Jin Wang, Xingguang Pan, Jun Wang, He-D. Xiao, Zhenqi Wei, R. Ying
{"title":"Next-generation consumer audio application specific embedded processor","authors":"Ji Kong, Peilin Liu, Xianmin Chen, Jin Wang, Xingguang Pan, Jun Wang, He-D. Xiao, Zhenqi Wei, R. Ying","doi":"10.1109/SASP.2010.5521155","DOIUrl":null,"url":null,"abstract":"For next-generation audio applications, the dominant trends are much higher sample rate, larger word length and more audio channels for playback audio data. Traditional DSPs or embedded processors are inefficient for such kinds of applications because of their non-specific or limited computing capabilities as well as the on-chip memory architectures. In this paper, an embedded audio processor aiming at next-generation audio applications has been proposed. The audio specific instruction set architecture is based on the analysis of the requirements for next-generation audio processing. Besides, a novel tightly coupled audio memory has been proposed to support extremely high audio data throughputs and flexible audio data transfers with main memories. To evaluate the performance of the proposed audio processor, a set of benchmarks have been used based on the analysis of next-generation audio applications. The implementation and evaluation results lead to the conclusion that the proposed audio processor is of outstanding efficiency and cost-effectiveness for next-generation audio applications.","PeriodicalId":119893,"journal":{"name":"2010 IEEE 8th Symposium on Application Specific Processors (SASP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 8th Symposium on Application Specific Processors (SASP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASP.2010.5521155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

For next-generation audio applications, the dominant trends are much higher sample rate, larger word length and more audio channels for playback audio data. Traditional DSPs or embedded processors are inefficient for such kinds of applications because of their non-specific or limited computing capabilities as well as the on-chip memory architectures. In this paper, an embedded audio processor aiming at next-generation audio applications has been proposed. The audio specific instruction set architecture is based on the analysis of the requirements for next-generation audio processing. Besides, a novel tightly coupled audio memory has been proposed to support extremely high audio data throughputs and flexible audio data transfers with main memories. To evaluate the performance of the proposed audio processor, a set of benchmarks have been used based on the analysis of next-generation audio applications. The implementation and evaluation results lead to the conclusion that the proposed audio processor is of outstanding efficiency and cost-effectiveness for next-generation audio applications.
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
下一代消费类音频应用专用嵌入式处理器
对于下一代音频应用,主要趋势是更高的采样率,更大的字长和更多的音频通道来播放音频数据。传统的dsp或嵌入式处理器由于其非特定或有限的计算能力以及片上存储器架构而对此类应用效率低下。本文提出了一种针对下一代音频应用的嵌入式音频处理器。音频专用指令集架构是在分析下一代音频处理需求的基础上提出的。此外,还提出了一种新型的紧耦合音频存储器,以支持极高的音频数据吞吐量和灵活的主存储器音频数据传输。为了评估所提出的音频处理器的性能,基于对下一代音频应用的分析,使用了一组基准测试。实施和评估结果表明,所提出的音频处理器在下一代音频应用中具有出色的效率和成本效益。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Minimizing write activities to non-volatile memory via scheduling and recomputation CMA: Chip multi-accelerator A processing engine for GPS correlation Early performance-cost estimation of application-specific data path pipelining Processor accelerator for AES
×
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