DCT-based scheme to accelerate multimedia search in NAND Flash memories

Shruti Vyas, Aswin Sreedhar, S. Kundu
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引用次数: 1

Abstract

NAND Flash memories are gaining popularity due to their high density, robustness, low power consumption and low read times. Searching data in NAND flash memory is fast for small memory sizes but as the memory size increases, searches become painfully slow. With increased user content inclining towards large multimedia such as images, audio and video, there is a need for faster multimedia content searches (MCS). In this paper we develop a hardware based enhancement technique for fast multimedia content searches in NAND Flash memories. The central idea is to compress the multimedia data by applying Discrete Cosine Transform (DCT) and storing selected coefficients as signatures in the spare blocks of the memory. When a multimedia search request comes in, a signature of the search request is computed and only the signature blocks are compared for a match, thus making faster searches. DCT-based compression gives good results for text, audio, image and video files. If a small part of a multimedia data is given as search request, this technique returns all possible matches found in the set of files stored in the flash memory. Applications of this technique can be found in entertainment industry, music libraries, face recognition etc. Simulations are run for memories between size 2Gb to 16Gb. A speed-up of 450X in the search operation is achieved with this technique. The additional hardware has no performance impact on read or sequential writes of memory. The hardware overhead is estimated to be 0.03% of the total memory area.
基于dct的NAND闪存多媒体搜索加速方案
NAND闪存由于其高密度、稳健性、低功耗和低读取时间而越来越受欢迎。在NAND闪存中搜索数据对于小内存来说是很快的,但是随着内存的增加,搜索变得非常慢。随着越来越多的用户内容倾向于大型多媒体(如图像、音频和视频),需要更快的多媒体内容搜索(MCS)。本文开发了一种基于硬件的快速多媒体内容搜索增强技术。其核心思想是通过应用离散余弦变换(DCT)压缩多媒体数据,并将选定的系数作为签名存储在内存的备用块中。当多媒体搜索请求进入时,计算搜索请求的签名,并且只比较签名块的匹配情况,从而加快搜索速度。基于dct的压缩对文本、音频、图像和视频文件都有很好的压缩效果。如果多媒体数据的一小部分作为搜索请求给出,该技术将返回存储在闪存中的文件集中找到的所有可能的匹配项。该技术的应用可以在娱乐行业,音乐库,人脸识别等。模拟运行的内存大小在2Gb到16Gb之间。使用这种技术,搜索操作的速度提高了450倍。额外的硬件对内存的读或顺序写没有性能影响。硬件开销估计为总内存面积的0.03%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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