CFU: multi-purpose configurable filtering unit for mobile multimedia applications on graphics hardware

Chih-Hao Sun, K. Lok, You-Ming Tsao, Chia-Ming Chang, Shao-Yi Chien
{"title":"CFU: multi-purpose configurable filtering unit for mobile multimedia applications on graphics hardware","authors":"Chih-Hao Sun, K. Lok, You-Ming Tsao, Chia-Ming Chang, Shao-Yi Chien","doi":"10.1145/1572769.1572775","DOIUrl":null,"url":null,"abstract":"In order to increase the capability of mobile GPUs in image/video processing, a multi-purpose configurable filtering unit (CFU), which is a new configurable unit for image filtering on stream processing architecture, is proposed in this paper. CFU is located in the texture unit of a GPU and can efficiently execute many kinds of filtering operations by directly accessing multi-bank texture cache and specially-designed data-paths. The following programmabilities are supported in our proposed CFU. First, different sampling point windows can be selected by programmers. Besides, the arithmetic type of the filter can be chosen. Not only original texture filtering functions and finite impulse response (FIR) filters, morphological operations in computer vision are also embedded in CFU. Furthermore, the weighting coefficients of FIR filters and morphological operations can be defined by programmers. Simulation results show that in average, compared with conventional texture unit, 25.35% of processing time in H.264/AVC motion compensation and 58.6% of processing time in video segmentation can be reduced with the assistance of CFU.","PeriodicalId":163044,"journal":{"name":"Proceedings of the Conference on High Performance Graphics 2009","volume":"3 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Conference on High Performance Graphics 2009","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1572769.1572775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

In order to increase the capability of mobile GPUs in image/video processing, a multi-purpose configurable filtering unit (CFU), which is a new configurable unit for image filtering on stream processing architecture, is proposed in this paper. CFU is located in the texture unit of a GPU and can efficiently execute many kinds of filtering operations by directly accessing multi-bank texture cache and specially-designed data-paths. The following programmabilities are supported in our proposed CFU. First, different sampling point windows can be selected by programmers. Besides, the arithmetic type of the filter can be chosen. Not only original texture filtering functions and finite impulse response (FIR) filters, morphological operations in computer vision are also embedded in CFU. Furthermore, the weighting coefficients of FIR filters and morphological operations can be defined by programmers. Simulation results show that in average, compared with conventional texture unit, 25.35% of processing time in H.264/AVC motion compensation and 58.6% of processing time in video segmentation can be reduced with the assistance of CFU.
CFU:多用途可配置的过滤单元,用于图形硬件上的移动多媒体应用
为了提高移动gpu的图像/视频处理能力,本文提出了一种多用途可配置滤波单元(CFU),它是一种新的流处理架构下的图像滤波可配置单元。CFU位于GPU的纹理单元中,通过直接访问多库纹理缓存和专门设计的数据路径,可以高效地执行多种过滤操作。我们建议的CFU支持以下可编程性。首先,程序员可以选择不同的采样点窗口。此外,还可以选择滤波器的算法类型。除了原始的纹理滤波函数和有限脉冲响应(FIR)滤波器外,CFU还嵌入了计算机视觉中的形态学运算。此外,FIR滤波器的权重系数和形态学运算可以由程序员定义。仿真结果表明,与传统纹理单元相比,CFU在H.264/AVC运动补偿和视频分割中平均可减少25.35%的处理时间和58.6%的处理时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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:481959085
Book学术官方微信