Integration Architecture of Content Addressable Memory and Massive-Parallel Memory-Embedded SIMD Matrix for Versatile Multimedia Processor
| Autor: | Katsumi Dosaka, Takeshi Kumaki, Yasuto Kuroda, Tetsushi Koide, Kazutami Arimoto, Masakatsu Ishizaki, Kazunori Saito, Hans Jurgen Mattausch, Hideyuki Noda, T. Gyohten |
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| Rok vydání: | 2008 |
| Předmět: |
Digital signal processor
business.industry Computer science Cycles per instruction computer.file_format Content-addressable memory Huffman coding JPEG Electronic Optical and Magnetic Materials symbols.namesake symbols SIMD Electrical and Electronic Engineering business computer Computer hardware Digital signal processing Image compression |
| Zdroj: | IEICE Transactions on Electronics. :1409-1418 |
| ISSN: | 1745-1353 0916-8524 |
| DOI: | 10.1093/ietele/e91-c.9.1409 |
| Popis: | This paper presents an integration architecture of content addressable memory (CAM) and a massive-parallel memory-embedded SIMD matrix for constructing a versatile multimedia processor. The massive-parallel memory-embedded SIMD matrix has 2,048 2-bit processing elements, which are connected by a flexible switching network, and supports 2-bit 2,048-way bit-serial and word-parallel operations with a single command. The SIMD matrix architecture is verified to be a better way for processing the repeated arithmetic operation types in multimedia applications. The proposed architecture, reported in this paper, exploits in addition CAM technology and enables therefore fast pipelined table-lookup coding operations. Since both arithmetic and table-lookup operations execute extremely fast, the proposed novel architecture can realize consequently efficient and versatile multimedia data processing. Evaluation results of the proposed CAM-enhanced massive-parallel SIMD matrix processor for the example of the frequently used JPEG image-compression application show that the necessary clock cycle number can be reduced by 86% in comparison to a conventional mobile DSP architecture. The determined performances in Mpixel/mm2 are factors 3.3 and 4.4 better than with a CAM-less massive-parallel memory-embedded SIMD matrix processor and a conventional mobile DSP, respectively. |
| Databáze: | OpenAIRE |
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