Logic-in-control-architecture-based reconfigurable VLSI using multiple-valued differential-pair circuits

Nobuaki Okada, Michitaka Kameyama

Research output: Contribution to journalArticlepeer-review

Abstract

A fine-grain bit-serial multiple-valued reconfigurable VLSI based on logic-in-control architecture is proposed for effective use of the hardware resources. In logic-in-control architecture, the control circuits can be merged with the arithmetic/logic circuits, where the control and arithmetic/logic circuits are constructed by using one or multiple logic blocks. To implement the control circuit, only one state in a state transition diagram is allocated to one logic block, which leads to reduction of the complexity of interconnections between logic blocks. The fine-grain logic block is implemented based on multiple-valued current-mode circuit technology. In the fine-grain logic block, an arbitrary 3-variable binary function can be programmed by using one multiplexer and two universal literal circuits. Three-variable binary functions are used to implement the control circuit. Moreover, the hardware resources can be utilized to construct a bit-serial adder, because full-adder sum and carry can be realized by programming in the universal literal circuit. Therefore, the logic block can be effectively reconfigured for arithmetic/logic and control circuits. It is made clear that the hardware complexity of the control circuit in the proposed reconfigurable VLSI can be reduced in comparison with that of the control circuit based on a typically sequential circuit in the conventional FPGA and the fine-grain field-programmable VLSI reported until now.

Original languageEnglish
Pages (from-to)2126-2133
Number of pages8
JournalIEICE Transactions on Information and Systems
VolumeE93-D
Issue number8
DOIs
Publication statusPublished - 2010 Aug

Keywords

  • Control circuit
  • Direct allocation
  • Fine-grain reconfigurable VLSI
  • Multiple-valued current-mode logic
  • Sequential logic circuit

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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