Abstract:
Various embodiments of methods and systems for thermally aware scheduling of workloads in a portable computing device that contains a heterogeneous, multi-processor system on a chip (“SoC”) are disclosed. Because individual processing components in a heterogeneous, multi-processor SoC may exhibit different processing efficiencies at a given temperature, and because more than one of the processing components may be capable of processing a given block of code, thermally aware workload scheduling techniques that compare performance curves of the individual processing components at their measured operating temperatures can be leveraged to optimize quality of service (“QoS”) by allocating workloads in real time, or near real time, to the processing components best positioned to efficiently process the block of code.
Abstract:
In the various aspects, virtualization techniques may be used to improve performance and reduce the amount of power consumed by selectively enabling a hypervisor operating on a computing device during sandbox sessions. In the various aspects, a high-level operating system may allocate memory such that its intermediate physical addresses are equal to the physical addresses. When the hypervisor is disabled, the hypervisor may suspend second stage translations from intermediate physical addresses to physical addresses. During a sandbox session, the hypervisor may be enabled and resume performing second stage translations.