Anaglobe Technology, Inc.

Po-Hung Lin

Yu-Tsang Hsieh

Chun-Yu Lin

Vincent Weihao Hsiao

Hung-Yun Hsu

Nai-Chen Chen

A method for generating analog schematic diagram based on building block classification and reinforcement learning is disclosed. First of all, deeper relationship features among devices with building block classification are obtained. Secondly, the device leveling gives an initial device placement topology resulting from the current/signal flows in the circuit netlist. Thirdly, reinforcement learning is applied to refine placement and routing topologies by embedding the building blocks and current/signal flow information into feature vectors. Pattern routing and maze routing algorithms are performed for local and global interconnections, respectively, followed by placement adjustment for density balancing and space minimization to obtain aesthetic analog circuit schematics.

Method for generating analog schematic diagram based on building block classification and reinforcement learning

A method for parasitic-aware capacitor sizing and layout generation is proposed, which is executed by a computer, the method comprising using the computer to perform the following: creating a capacitor sizing and parasitic matching sequence to represent a unit capacitor size, routing topology and routing patterns of a plural of nets in a capacitor network. Next, a shielding assignment is performed to create a number of shielding portions of each net in the plural of nets. Then, a fitness evaluation of configurations of the capacitor sizing and parasitic matching sequence is performed. A shielding net routing is performed to compensate unmatched parasitic capacitance of the configurations of the capacitor sizing and parasitic matching sequence.

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Hsinchu County, Taiwan

Po-Hung Lin