北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (4): 808-813.doi: 10.13700/j.bh.1001-5965.2019.0284

• 论文 • 上一篇    下一篇

一种用于图像翘曲变换的高速缓冲存储器设计

康洁1,2, 刘强1,2   

  1. 1. 天津大学 微电子学院, 天津 30007;
    2. 天津市成像与感知微电子技术重点实验室, 天津 300072
  • 收稿日期:2019-06-10 发布日期:2020-04-21
  • 通讯作者: 刘强 E-mail:qiangliu@tju.edu.cn
  • 作者简介:康洁,女,硕士研究生。主要研究方向:用于高效平视显示系统的高速缓冲存储器设计;刘强,男,博士,副教授,博士生导师。主要研究方向:数字集成电路设计、低功耗电路设计等。
  • 基金资助:
    国家自然科学基金(61574099)

A Cache design for image warping

KANG Jie1,2, LIU Qiang1,2   

  1. 1. School of Microelectronics, Tianjin University, Tianjin 30007;
    2. Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin 300072, China
  • Received:2019-06-10 Published:2020-04-21
  • Supported by:
    National Natural Science Foundation of China (61574099)

摘要: 车载平视显示(HUD)系统通过图像翘曲变换将原始平面图像信息显示在挡风玻璃曲面上,原始图像数据的非线性访问会造成存储器访问效率下降。为此,设计了一种高速缓冲存储器(Cache),以最大程度保证像素数据访问的连续性,减少存储器访问次数并提高带宽资源利用率。为优化Cache性能,提出存储空间分离管理技术和地址分级比较技术,提高图像像素在Cache中的存储密度,并节省逻辑资源。此外,提出一种Cache容量动态调整的方法,在保证命中率前提下减少Cache存储资源的使用、降低功耗。实验结果显示,存储空间分离管理技术使存储资源节省25%,地址分级比较技术使逻辑资源节省近10%,Cache容量可以减少75%,且动态功耗减少67.578%,静态功耗减少14.060%。

关键词: 图像翘曲变换, 高速缓冲存储器, 存储空间分离管理, 地址分级比较, 容量动态调整

Abstract: The vehicle head-up display (HUD) system displays the source image plane on the windshield surface by image warping. Non-linear access to source image pixels degrades memory access efficiency. To solve this problem, a Cache is designed to ensure pixel access continuity, reduce memory access numbers and improve bandwidth resource utilization. To optimize the performance of Cache, a storage separation management technology and an address multi-level comparison technology are proposed to improve the storage density of image pixels and save logical resources. In addition, a method for dynamically adjusting the Cache capacity is proposed to reduce storage resource usage and power consumption while ensuring the hit rate. The experimental results show that the storage separation management technology saves storage resources by 25%. The address multi-level comparison technology saves logical resources by nearly 10%. The Cache capacity can be reduced by the dynamic adjusting method by 75%, dynamic power consumption is reduced by 67.578%, and static power consumption is reduced by 14.060%.

Key words: image warping, Cache, storage separation management, address multi-level comparison, capacity dynamic adjustment

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