This paper investigates schedulability analysis for thermal-aware realtime systems. Thermal constraints are becoming more and more critical in new generation miniaturized embedded systems, e.g. medical implants. As part of this work, we adapt the P F PASAP algorithm proposed in [1] for energy-harvesting systems to thermal-aware ones. We prove its optimality for non-concrete 1 fixed-priority task sets and propose a responsetime analysis based on worst-case response-time upper bounds. We evaluate the efficacy of the proposed bounds via extensive simulation over randomly-generated task systems.