Abstract: A method of graphics processing comprising receiving, at a graphics processing unit (GPU), a command stream, the command stream including one or more commands to be performed by the GPU and at least one command stream hint, the at least one command stream hint providing a characterization of a workload of the command stream, performing, by the GPU, a power management process based on the at least one command stream hint prior to executing the command stream, and executing, by the GPU, the command stream.

Abstract: A device for processing data includes a processing unit configured to predict an execution time of a compute kernel on a secondary processing unit and, based on the predicted execution time, make a power management decision for the secondary processing unit.

Abstract: Example implementations and techniques are described in which a processor uses a dynamic adjustment algorithm, including algorithms based on performance and energy models, to readjust frequency settings for a graphics processing unit (GPU), and independently for a system memory or for a system memory bus, to an optimal level for meeting sustained performance requirements with the low level of power consumption.

Abstract: Techniques are described in which a processor determines how busy a graphics processing unit (GPU) was in rendering a current fame based on a time interval between when the GPU completed the rendering of the current frame and when the GPU completed the rendering of a previous frame that immediately precedes the current frame. The processor sets a clock rate of the GPU based on the determination of how busy the GPU was in rendering the current frame.

Abstract: Techniques are described in which a processor determines how busy a graphics processing unit (GPU) was in rendering a current fame based on a time interval between when the GPU completed the rendering of the current frame and when the GPU completed the rendering of a previous frame that immediately precedes the current frame. The processor sets a clock rate of the GPU based on the determination of how busy the GPU was in rendering the current frame.

Abstract: A device for processing data includes a processing unit configured to predict an execution time of a compute kernel on a secondary processing unit and, based on the predicted execution time, make a power management decision for the secondary processing unit.

Abstract: At least one processor may determine, for each of a plurality of operating performance points (OPPs) that each comprise a memory frequency and a graphics processing unit (GPU) frequency, an estimated energy consumption associated with a memory and the GPU operating at the respective memory frequency and GPU frequency to process a workload based at least in part on a plurality of energy equations associated with the plurality of OPPs. The at least one processor may set the memory and the GPU to operate at the respective memory frequency and GPU frequency of one of the plurality of OPPs to process the workload based at least in part on the estimated energy consumption.

Abstract: Example implementations and techniques are described in which a processor uses a dynamic adjustment algorithm, including algorithms based on performance and energy models, to readjust frequency settings for a graphics processing unit (GPU), and independently for a system memory or for a system memory bus, to an optimal level for meeting sustained performance requirements with the low level of power consumption.

Abstract: A method of graphics processing comprising receiving, at a graphics processing unit (GPU), a command stream, the command stream including one or more commands to be performed by the GPU and at least one command stream hint, the at least one command stream hint providing a characterization of a workload of the command stream, performing, by the GPU, a power management process based on the at least one command stream hint prior to executing the command stream, and executing, by the GPU, the command stream.