We have previously presented Qsilver, a flexible simulation system for graphics architectures. In this paper we describe our extensions to this system, which we use - instrumented with a power model and HotSpot - to analyze the application of standard CPU static and runtime thermal management techniques on the GPU. We describe experiments implementing clock gating, fetch gating, dynamic voltage scaling, multiple clock domains and permuted floor-planning on the GPU using our simulation environment, and demonstrate that these techniques are beneficial in the GPU domain. Further, we show that the inherent parallelism of GPU workloads enables significant thermal gains on chips designed employing static floorplan repartitioning