Integrated data model based framework for driving design convergence from architecture optimization to physical design closure
AssigneeAlgotochip Corp.
InventorsAnanth Durbha, Satish Padmanabhan, Pius Ng
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Abstract
Systems and methods are disclosed to automatically synthesize a custom integrated circuit by encoding architecture level knowledge in a data model to generate and pass new constraints for physical synthesis of a chip specification uniquely customized to computer readable code. The system receives a look-ahead cost function during architecture optimization consistent with cost observed later in the flow after detailed physical synthesis is performed. The look-ahead cost function is generated from a prior iteration and supplied to a subsequent iteration through the data model.
Claims19
A method to automatically synthesize a custom integrated circuit, comprising:
- receiving a specification of the custom integrated circuit including computer readable code and one or more constraints on the custom integrated circuit;
- encoding architecture level knowledge in a data model to generate and pass new constraints for physical synthesis of a chip specification uniquely customized to the computer readable code;
- receiving a look-ahead cost function during architecture optimization consistent with cost observed later in a design flow after detailed physical synthesis is performed, wherein the look-ahead cost function is generated from a prior iteration and supplied to a subsequent iteration through the data model;
- automatically translating information available at one optimization point into a constraint for another optimization point invoked at a different place in the design flow using the data model;
- synthesizing a computer readable description of the chip specification into the custom integrated circuit for semiconductor fabrication;
- and
- applying pre and post fix tags to indicate if the grouping of cells in a hierarchy is a hard or soft constraint.
Dependencies are inferred from the claim text.