This paper develops a hotspot-greedy, light-weighted, and automated framework, SpotLight, to achieve fast thermal analysis of smartphones at the pre-silicon stage. Besides, we apply superposed models and a designed least penalty problem to improve the accuracy. Experimental results show that the SpotLight can accurately simulate the system-level hotspot temperatures of smartphones with average runtime of 0.56 ms.