Abstract: Embodiments for tuning parameters to a synthesis program are provided. At least one set of parameter settings for the synthesis program is selected. A plurality of identical synthesis jobs for the at least one set of parameter settings is run in an iteration of the synthesis program. Results of the iteration of the synthesis program are analyzed utilizing a tuning optimization cost function. Combinations of the parameter settings are created based on the analysis. At least one synthesis job for is run each of the combinations of the parameter settings in a subsequent iteration of the synthesis program. The analysis of the results, the creating of the combinations of parameter settings, and the running at the at least one synthesis job for each of the combinations of parameter settings are repeated until an exit criteria has been achieved.

Abstract: Embodiments for tuning parameters to a synthesis program are provided. At least one set of parameter settings for the synthesis program is selected. A plurality of identical synthesis jobs for the at least one set of parameter settings is run in an iteration of the synthesis program. Results of the iteration of the synthesis program are analyzed utilizing a tuning optimization cost function. Combinations of the parameter settings are created based on the analysis. At least one synthesis job for is run each of the combinations of the parameter settings in a subsequent iteration of the synthesis program. The analysis of the results, the creating of the combinations of parameter settings, and the running at the at least one synthesis job for each of the combinations of parameter settings are repeated until an exit criteria has been achieved.

Abstract: Disclosed is a system, computer program product, and method for performing logic, physical synthesis, and post-route optimization. The method begins with identifying a plurality of groups of paths in a circuit by a unique criteria. The unique criteria is any one of a netlist regular expression, a cell topology regular expression, a physical structure, or a combination thereof. An optimization process is performed on the design and is repeated until the cumulative histogram corresponds to the reference histogram within a threshold. The histogram optimization on the group of paths to make the cumulative histogram correspond to the reference cumulative histogram can be adjusted to account for timing, power, yield, or a combination thereof. After a first group of paths has been optimized, the process can be repeated for other groups of paths. The histogram optimization performed on each group of paths is merged into overall histogram optimization design.

Abstract: Disclosed is a system, computer program product, and method for performing logic, physical synthesis, and post-route optimization. The method begins with identifying a plurality of groups of paths in a circuit by a unique criteria. The unique criteria is any one of a netlist regular expression, a cell topology regular expression, a physical structure, or a combination thereof. An optimization process is performed on the design and is repeated until the cumulative histogram corresponds to the reference histogram within a threshold. The histogram optimization on the group of paths to make the cumulative histogram correspond to the reference cumulative histogram can be adjusted to account for timing, power, yield, or a combination thereof. After a first group of paths has been optimized, the process can be repeated for other groups of paths. The histogram optimization performed on each group of paths is merged into overall histogram optimization design.