Multimode circuit place and route optimization
A plurality of multi-corner multimode (MCMM) databases are accessed, wherein at least one of the plurality of MCMM databases corresponds to a first optimization scenario, and at least one of the plurality of MCMM databases corresponds to a second optimization scenario. A first optimization move is performed on paths in the first optimization scenario. The first optimization move is verified using GBA on paths in the second optimization scenario to determine that the first optimization move does not cause timing violations outside an MCMM database associated with the first optimization scenario.
1. A method, comprising:
accessing a plurality of multi-corner multimode (MCMM) databases, wherein at least one of the plurality of MCMM databases corresponds to a first optimization scenario, and at least one of the plurality of MCMM databases corresponds to a second optimization scenario;
performing a first optimization move on paths in the first optimization scenario; and
verifying the first optimization move using graph-based analysis (GBA) on paths in the second optimization scenario to determine that the first optimization move does not cause timing violations outside an MCMM database associated with the first optimization scenario.
2. The method of claim 1 , wherein verifying includes using calibrated GBA timing.
3. The method of claim 1 , wherein the first optimization scenario is a hold optimization scenario.
4. The method of claim 1 , wherein the first optimization scenario is a power optimization scenario.
5. The method of claim 1 , wherein the first optimization scenario is an area optimization scenario.
6. The method of claim 1 , wherein the second optimization scenario is a timing optimization scenario.
7. The method of claim 1 , further comprising verifying the first optimization move using path-based analysis (PBA) on paths associated with the first optimization scenario.
8. The method of claim 1 , further comprising calculating slack margin as a spread between worst PBA slack and worst GBA slack.
9. The method of claim 1 , wherein verifying includes using calculated slack margin to GBA timing for all scenarios.
10. The method of claim 1 , wherein verifying includes using initial GBA timing for worst negative slack (WNS) and/or total negative slack (TNS) for PBA timing.
11. A system, comprising:
a processor configured to:
access a plurality of multi-corner multimode (MCMM) databases, wherein at least one of the plurality of MCMM databases corresponds to a first optimization scenario, and at least one of the plurality of MCMM databases corresponds to a second optimization scenario;
perform a first optimization move on paths in the first optimization scenario; and
verify the first optimization move using graph-based analysis (GBA) on paths in the second optimization scenario to determine that the first optimization move does not cause timing violations outside an MCMM database associated with the first optimization scenario; and
a memory coupled to the processor and configured to provide the processor with instructions.
12. The system of claim 11 , wherein verifying includes using calibrated GBA timing.
13. The system of claim 11 , wherein the processor is further configured to verify the first optimization move using PBA on paths associated with the first optimization scenario.
14. The system of claim 11 , wherein the processor is further configured to calculate slack margin as a spread between worst PBA slack and worst GBA slack.
15. The system of claim 11 , wherein verifying includes using initial GBA timing for worst WNS and/or TNS for PBA timing.
16. A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
accessing a plurality of multi-corner multimode (MCMM) databases, wherein at least one of the plurality of MCMM databases corresponds to a first optimization scenario, and at least one of the plurality of MCMM databases corresponds to a second optimization scenario;
performing a first optimization move on paths in the first optimization scenario; and
verifying the first optimization move using graph-based analysis (GBA) on paths in the second optimization scenario to determine that the first optimization move does not cause timing violations outside an MCMM database associated with the first optimization scenario.
17. The computer program product of claim 16 , wherein verifying includes using calibrated GBA timing.
18. The computer program product of claim 16 , further comprising computer instructions for verifying the first optimization move using PBA on paths associated with the first optimization scenario.
19. The computer program product of claim 16 , further comprising computer instructions for calculating slack margin as a spread between worst PBA slack and worst GBA slack.
20. The computer program product of claim 16 , wherein verifying includes using initial GBA timing for worst WNS and/or TNS for PBA timing.