||The 3D applications, until recently restricted to the desktops and workstations, are expanding into the mobile platforms, such as cellular phones and PDAs. Similar to the desktop, the consumers will expect high-quality 3D experience, and this is a big challenge. Handheld devices have slower processors that are less capable of computing large workloads, and the batteries have limited lifetimes, so for large and complex workload, we need an excellent power management policy for saving power. Besides, although mobile platforms have lower resolution than desktop, each pixel must still be rendered since the screen is closed to the observer’s eye, or we will see some imperfections.|
For the reasons above, we make a point of performance optimization and power saving, and these rely on accuracy and fast workload estimation. We refer to some workload estimation methods which researchers have mentioned before, such as UW1, UW5, PID, Frame Structure, Signature Table, and hybrid power management policy.UW1 and UW5 both use the previous workload as the estimation workload. PID uses the feedback loop to correct the estimation workload. Frame Structure classifies frames into several structures, and sums the workload of each structure up as the estimation workload. Signature Table stores some 3D parameters in the table, and when a new frame comes in, the 3D parameters of this frame will compare with the table, if match, we use the workload in the table as the estimation workload. Our method is a hybrid policy of UW1 and UW5, and we will decide to use UW1 or UW5 when a new frame comes in. Finally we will compare the performance of each power management policy.