Presentation 2002/11/21
A Fully-Parallel Associative Memory for Minimum-Manhattan-Distance-Search
Yuji YANO, Masahiro MIZOKAMI, Minoru HONDA, Tetsushi KOIDE, Hans Jurgen MATTAUSCH,
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Abstract(in English) Finding the nearest-match between an input-data word of k * W bit length and a number R of reference-data words is a basic operation for pattern recognition as well as data compression. Further, it is important for future advanced intelligent imformation processing to realize this nearest-match functionality with fast and compact hardware. This paper presents a mixed-analog-digital asociative memory which uses a fully-parallel processing architecture. The proposed associative memory performs high speed nearest-match search, in which digital processing is used up to the word comparison and analog processing is used for the winner-take-all function. A test chip was designed in 0.35μm CMOS technology with 3-metal layers. The nearest-match unit consumes 0.99mm^2 (11.5% of total design area), while the chip area is 8.6mm^2. The simulated winner-search time of this chip, the time to determine the best-matching reference-data word for an input-data word among a database of 128 reference words (5-bit, 16 units), is lower than 240nsec. This corresponds to a performance requirement of 20 GOPS/mm^2, if a 32-bit computer with the same chip area would have to run the same workload. Furthermore the power dissipation of the designed test chip is only about 30.2mW/mm^2.
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Keyword(in English) mixed-digital-analog circuits / associative memory / Manhattan distance / fully-parallel search / pattern recognition
Paper # VLD2002-112
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Conference Information
Committee VLD
Conference Date 2002/11/21(1days)
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Paper Information
Registration To VLSI Design Technologies (VLD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Fully-Parallel Associative Memory for Minimum-Manhattan-Distance-Search
Sub Title (in English)
Keyword(1) mixed-digital-analog circuits
Keyword(2) associative memory
Keyword(3) Manhattan distance
Keyword(4) fully-parallel search
Keyword(5) pattern recognition
1st Author's Name Yuji YANO
1st Author's Affiliation Research center for Nanodevices and Systems, Hiroshima University()
2nd Author's Name Masahiro MIZOKAMI
2nd Author's Affiliation Research center for Nanodevices and Systems, Hiroshima University
3rd Author's Name Minoru HONDA
3rd Author's Affiliation Research center for Nanodevices and Systems, Hiroshima University
4th Author's Name Tetsushi KOIDE
4th Author's Affiliation Research center for Nanodevices and Systems, Hiroshima University
5th Author's Name Hans Jurgen MATTAUSCH
5th Author's Affiliation Research center for Nanodevices and Systems, Hiroshima University
Date 2002/11/21
Paper # VLD2002-112
Volume (vol) vol.102
Number (no) 476
Page pp.pp.-
#Pages 6
Date of Issue