GRACE: generative robust analog circuit exploration

Authors:
Michael A. Terry;Jonathan Marcus;Matthew Farrell;Varun Aggarwal;Una-May O’Reilly
Affiliations:
Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA;Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA;Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA;Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA;Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology, Cambridge, MA
Venue:
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
Year:
2006

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Abstract

We motivate and describe an analog evolvable hardware design platform named GRACE (i.e. Generative Robust Analog Circuit Exploration). GRACE combines coarse-grained, topological circuit search with intrinsic testing on a Commercial Off-The-Shelf (COTS) field programmable device, the Anadigm AN221E04. It is suited for adaptive, fault tolerant system design as well as CAD flow applications.