Multiobjective Optimization of Cost, Performance and Thermal Reliability in 3DICs

In this paper we propose a fast and efficient method of multiobjective optimization for 3DIC building block placement. The objectives are cost, performance and thermal reliability. Our proposed method is based on a Quasi-Newton analytical optimization method. Our approach also uses a scalarization method of Compromise Programming, in which the weighted distance of the objectives from their minimum points is optimized. A fast 3DIC thermal map model is used in the optimization algorithm to eliminate the thermal analysis bottleneck during the optimization iterations. In comparison with previous multiobjective optimizations for sample 3DIC configurations, our method reduces the peak temperature by 4.3% and total wire length by 5.7% while it is more than 17x faster in the optimization runtime, on average.