PAGE: parallel agile genetic exploration towards utmost performance for analog circuit design

  • Authors:
  • Po-Cheng Pan;Hung-Ming Chen;Chien-Chih Lin

  • Affiliations:
  • National Chiao Tung University, Hsinchu, Taiwan;National Chiao Tung University, Hsinchu, Taiwan;Macronix International Co., Ltd., Hsinchu, Taiwan

  • Venue:
  • Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2013

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Abstract

This paper presents an agile hierarchical synthesis framework for analog circuit. To acknowledge the limitation for a given topology analog circuit, this hierarchical synthesis work proposes a performance exploration technique and a non-uniform-step simulation process. Apart from spec targeted designs, this proposed approach can help to search the solutions better than designers' expectation. A parallel genetic algorithm (PAGE) method is employed for performance exploration. Unlike other evolution-based topology explorations, this is the first method that regards performance constraints as input genome for evolution and resolves the multiple-objective problem with the multiple-population feature. Populations of selected performance are transfered to device variables by re-targeting technique. Based on a normalization of device variable distribution, a probabilistic stochastic simulation significantly reduces the convergence time to find the global optima of circuit performance. Experimental results show that our approach on radio-frequency distributed amplifier (RFDA) and folded cascode operational amplifier (Op-Amp) in different technologies can obtain better runtime and higher quality in analog synthesis.