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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2010.11
- 수록면
- 67 - 70 (4page)
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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.
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.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. PRELIMINARIES
Ⅲ. PROPOSED SCHEME
Ⅳ. AREA OVERHEAD & PRODUCT LIFETIME
Ⅴ. EXPERIMENTAL FRAMEWORK & RESULTS
CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2013-569-001488950