Low power oriented circuit optimization consists in selecting the best alternative between gate sizing, buffer insertion and logic structure transformation, for satisfying a delay constraint at minimum area cost. In this paper we used a closed form model of delay in CMOS structures to define metrics for a deterministic selection of the optimization alternative. The target is delay constraint satisfaction with minimum area cost. We validate the design space exploration method, defining maximum and minimum delay bounds on logical paths. Then we adapt this method to a "constant sensitivity method" allowing to size a circuit at minimum area under a delay constraint. An optimisation protocol is finally defined to manage the trade-off performance constraint - circuit structure. These methods are implemented in an optimization tool (POPS) and validated by comparing on a 0.25$\mu$m process, the optimization efficiency obtained on various benchmarks (ISCAS?85) to that resulting from an industrial tool.
翻译:低电向电路优化包括选择门级缩放、缓冲插入和逻辑结构转换之间的最佳选择,以便以最低面积成本满足延迟限制。在本文中,我们使用CMOS结构中封闭形式的延迟模型来界定确定优化替代方法的确定性选择标准。目标是延迟限制对最低面积成本的满意度。我们验证了空间探索设计方法,确定了逻辑路径的最大和最小延迟界限。然后,我们将这种方法调整为“持续敏感方法”,允许在延迟限制下以最小面积大小电路。最终确定了优化协议,以管理交易性能约束-电路结构。这些方法在优化工具(POPS)中实施,并通过对各种基准(ISCAS?85)获得的优化效率(0.25 mumum 进程) 与工业工具产生的优化效率进行比较加以验证。