Due to the increased power density and lower thermal conductivity, 3D ICs are faced with heat dissipation and temperature problem seriously. TSV (Through-Silicon-Via) has been shown as an effective way to help heat removal, but they introduce several issues related with cost and reliability as well. Previous researches of TSV planning didn't pay much attention to the impact of leakage power, which will bring in error on estimation of temperature, TSV number and also critical path delay. The leakage-temperature-delay dependence can potentially negate the performance improvement of 3D designs. In this paper, we analyze the impact of leakage power on TSV planning and integrate leakage-temperature-delay dependence into thermal via planning of 3D ICs. A weighted via insertion approach, considering the influence on both module delay and wire delay, is proposed to achieve the best balance among temperature, via number and performance. Experiment results show that, with leakage power and resource constraint considered, temperature and the required via number can be quite different, and the weighted TSV insertion approach with iterative process can obtain the trade-off between different factors including thermal, power consumption, via number and performance.

For improving the nonlinear alignment performance of Active Appearance Models (AAM), we apply a variant of the nonlinear manifold learning algorithm, Local Linear Embedded, to model shape-texture manifold. Experiments show that our method maintains a lower alignment residual to some small scale movements compared with traditional AAM based on Principal Component Analysis (PCA) and makes a successful alignment to large scale motions when PCA-AAM failed.