A bio-inspired architecture approach for a one-billion transistor smart CMOS camera chip
Fey D (2007)
Publication Type: Conference contribution
Publication year: 2007
Journal
Publisher: International Society for Optical Engineering; 1999
Edited Volumes: Proceedings of SPIE - The International Society for Optical Engineering
Pages Range: 65920 G1-G14
Conference Proceedings Title: Proc. of SPIE Vol. 6592
Event location: Maspalomas, Gran Canaria, Spain
DOI: 10.1117/12.722074
Abstract
In the paper we present a massively-parallel VLSI architecture for future smart CMOS camera chips with up to one billion transistors. To exploit efficiently the potential offered by future micro- or nanoelectronic devices traditional on central structures oriented parallel architectures based on MIMD or SIMD approaches will fail. They require too long and too many global interconnects for the distribution of code or the access to common memory. On the other hand nature developed self-organising and emergent principles to manage successfully complex structures based on lots of interacting simple elements. Therefore we developed a new as Marching Pixels denoted emergent computing paradigm based on a mixture of bio-inspired computing models like cellular automaton and artificial ants. In the paper we present different Marching Pixels algorithms and the corresponding VLSI array architecture. A detailed synthesis result for a 0.18 μm CMOS process shows that a 256×256 pixel image is processed in less than 10 ms assuming a moderate 100 MHz clock rate for the processor array. Future higher integration densities and a 3D chip stacking technology will allow the integration and processing of Mega pixels within the same time since our architecture is fully scalable.
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How to cite
APA:
Fey, D. (2007). A bio-inspired architecture approach for a one-billion transistor smart CMOS camera chip. In Proc. of SPIE Vol. 6592 (pp. 65920 G1-G14). Maspalomas, Gran Canaria, Spain, ES: International Society for Optical Engineering; 1999.
MLA:
Fey, Dietmar. "A bio-inspired architecture approach for a one-billion transistor smart CMOS camera chip." Proceedings of the Bioengineered and Bioinspired Systems III, Maspalomas, Gran Canaria, Spain International Society for Optical Engineering; 1999, 2007. 65920 G1-G14.
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