JOURNAL ARTICLE

<title>Parallel architectures for optoelectronic VLSI processing</title>

Dietmar FeyGuido GrimmWerner Erhard

Year: 1999 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3632 Pages: 57-68   Publisher: SPIE

Abstract

Limited bandwidth because of too few and too slow external pins is one of the major problems in current VLSI systems. Increasing clock rates and the growing transistor density in future microprocessor will enlarge the imbalance between satisfying computing power and insufficient communication performance. Optoelectronic VLSI (OE-VLSI) circuits using highly dense 3D optical interconnections offer the potential to overcome these problems. To lead OE-VLSI processing to success it is necessary to point out a diversity of architectures that profit extremely from a 2D optical input/output interface. Such architectures have to be developed especially for an optoelectronic solution. We demonstrate this for various architectures like binary neural associative memories and fine-grain 3D processor cores for integer and digital signal processing. We specify the electronic circuits and the optical interconnection schemes. We found out that an optoelectronic approach for the associative memory offers two orders of magnitude more performance than all-electronic solutions. The stacked 3D integer processor offers a performance increase of about 10 to 50 over current RISC processors. For the realization of the OE-VLSI circuits we developed a CMOS-SEED chip and a smart detector test chip consisting of CMOS circuitry monolithically integrated with a silicon based array of photo diodes.

Keywords:
Very-large-scale integration Computer science CMOS Electronic circuit Chip Electronic engineering Bandwidth (computing) Integrated circuit Computer hardware Embedded system Electrical engineering Telecommunications Engineering

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Topics

Photonic and Optical Devices
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Phase-change materials and chalcogenides
Physical Sciences →  Materials Science →  Materials Chemistry
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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