Gate Sizing Optimization in Logic Blocks for Power Minimization

The patent segments the logic block into multiple regions based on timing characteristics, identifying critical and non-critical regions separately. This segmentation allows the optimization algorithm to focus computational effort only on critical regions where timing constraints are most stringent, rather than enumerating all timing paths throughout the entire logic block. The segmentation is achieved by analyzing signal propagation delays and identifying regions that directly impact the clock cycle time.

The patent applies different optimization strategies to different regions of the logic block. Critical regions undergo rigorous timing-constrained optimization, while non-critical regions use simplified or heuristic methods. This local quality approach ensures that computational resources are allocated efficiently - intensive optimization only where timing constraints are binding - thereby reducing overall computational complexity while maintaining timing optimization accuracy where it matters most.

The patent dynamically adjusts gate sizes based on the specific timing requirements of each logic path. Rather than using a fixed gate size throughout the logic block, the system iteratively refines gate dimensions to achieve the minimum size that still meets timing constraints. This dynamic sizing allows gates in non-critical paths to be downsized for power savings while ensuring gates in critical paths maintain sizes sufficient for timing requirements.

The patent changes the physical parameters of gates (size, width, length) as optimization variables in an iterative algorithm. By treating gate dimensions as adjustable parameters rather than fixed values, the system can optimize both power consumption and timing delay simultaneously. The algorithm adjusts these parameters to find the optimal trade-off point where power is minimized subject to timing constraints being satisfied.

The patent segments the optimization problem into two parts: a rigorous timing constraint satisfaction component and a power optimization component. The timing component uses exact methods to ensure constraints are met, while the power component can use more efficient heuristic or iterative approaches. This segmentation allows the system to achieve good power optimization without requiring computationally intensive enumeration of all possible gate size combinations.

The patent applies partial optimization - focusing computational effort on the most critical gates and paths that have the greatest impact on power consumption and timing. Rather than attempting to optimize every gate equally (which would be computationally prohibitive), the system identifies and optimizes only those gates whose sizing decisions significantly affect the overall objectives, achieving good results with reduced computational complexity.