Presentation 1995/5/26
A High-Density CAM Based on Multi-Level Threshold Control and Its Application
Takahiro Hanyu, Naoki Kanagawa, Michitaka Kameyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a high-density content-addressable memory (CAM) based on multiple-valued logic. In the proposed CAM, various search operations in each cell are performed by a combination of two multiple-valued threshold operations with different thresholds. Since multiple-valued-encoded data corresponds to the threshold voltage of a transistor, each cell circuit can be simply designed using only a single floating-gate MOS transistor. As a result, the cell area of the proposed CAM is reduced to 19% in comparison with that of a conventional binary CAM cell. As a typical example, the proposed CAM is applied to a collision detection VLSI processor for an intelligent vehicle. The performance of the CAM-based VLSI processor is evaluated to be about 2.6 times higher than that of a conventional binary one.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) parallel search operation / multiple-valued logic / threshold operation / floating-gate MOS / collision detection VLSI processor
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Conference Date 1995/5/26(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A High-Density CAM Based on Multi-Level Threshold Control and Its Application
Sub Title (in English)
Keyword(1) parallel search operation
Keyword(2) multiple-valued logic
Keyword(3) threshold operation
Keyword(4) floating-gate MOS
Keyword(5) collision detection VLSI processor
1st Author's Name Takahiro Hanyu
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Naoki Kanagawa
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Michitaka Kameyama
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 1995/5/26
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Volume (vol) vol.95
Number (no) 72
Page pp.pp.-
#Pages 8
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