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: 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 system and method for reducing heat in a portable computing device includes clocking a processor such that it is provided with a full frequency over time t0 to t1. A timer is set to trigger a forced power collapse (“FPC”) that removes all power to the processor from time t1 to time t2. At time t2, the processor may be awakened such that it can resume processing at the full frequency. Advantageously, during the FPC, no leakage power (“PL”) is consumed by the processor between t1 and t2. The result is that the processor averages the same processing efficiency over time t0 to t2 as it otherwise would have if a reduced frequency had been provided to it. However, because no PL was consumed during the FPC, the generation of heat between time t1 and t2 that is related to PL is avoided.

Abstract: A system and method for reducing heat in a portable computing device includes clocking a processor such that it is provided with a full frequency over time t0 to t1. A timer is set to trigger a forced power collapse (“FPC”) that removes all power to the processor from time t1 to time t2. At time t2, the processor may be awakened such that it can resume processing at the full frequency. Advantageously, during the FPC, no leakage power (“PL”) is consumed by the processor between t1 and t2. The result is that the processor averages the same processing efficiency over time t0 to t2 as it otherwise would have if a reduced frequency had been provided to it. However, because no PL was consumed during the FPC, the generation of heat between time t1 and t2 that is related to PL is avoided.