Abstract:
A method of controlling power within a multicore central processing unit (CPU) is disclosed. The method may include monitoring a die temperature, determining a degree of parallelism within a workload of the CPU, and powering one or more cores of the CPU up or down based on the degree of parallelism, the die temperature, or a combination thereof.
Abstract:
Methods, systems and devices that include a dynamic clock and voltage scaling (DCVS) solution configured to compute and enforce performance guarantees for a group of processors to ensure that the processors does not remain in a busy state (e.g., due to transient workloads) for a combined period that is more than a predetermined amount of time above that which is required for one of the processors to complete its pre-computed steady state workload. The DCVS may adjust the frequency and/or voltage of one or more of the processors based on a variable delay to ensure that the multiprocessor system only falls behind its steady state workload by, at most, a predefined maximum amount of work, irrespective of the operating frequency or voltage of the processors.
Abstract:
Methods, systems and devices that include a dynamic clock and voltage scaling (DCVS) solution configured to compute and enforce performance guarantees for a group of processors to ensure that the processors does not remain in a busy state (e.g., due to transient workloads) for a combined period that is more than a predetermined amount of time above that which is required for one of the processors to complete its pre-computed steady state workload. The DCVS may adjust the frequency and/or voltage of one or more of the processors based on a variable delay to ensure that the multiprocessor system only falls behind its steady state workload by, at most, a predefined maximum amount of work, irrespective of the operating frequency or voltage of the processors.
Abstract:
Systems and methods for dynamic granularity control of parallelized work in a heterogeneous multi-processor portable computing device (PCD) are provided. During operation a first parallelized portion of an application executing on the PCD is identified. The first parallelized portion comprising a plurality of threads for parallel execution on the PCD. Performance information is obtained about a plurality of processors of the PCD, each of the plurality of processors corresponding to one of the plurality of threads. A number M of workload partition granularities for the plurality of threads is determined, and a total execution cost for each of the M workload partition granularities is determined. An optimal granularity comprising a one of the M workload partition granularities with a lowest total execution cost is determined, and the first parallelized portion is partitioned into a plurality of workloads having the optimal granularity.
Abstract:
A method of controlling power within a multicore central processing unit (CPU) is disclosed. The method may include monitoring a die temperature, determining a degree of parallelism within a workload of the CPU, and powering one or more cores of the CPU up or down based on the degree of parallelism, the die temperature, or a combination thereof.
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:
Methods, systems and devices that include a dynamic clock and voltage scaling (DCVS) solution configured to compute and enforce performance guarantees to ensure that a processor does not remain in a busy state (e.g., due to transient workloads) for more than a predetermined amount of time above that which is required for that processor to complete its pre-computed steady state workload. The DCVS may adjust the frequency and/or voltage of a processor based on a variable delay to ensure that the processing core only falls behind its steady state workload by, at most, a predefined maximum amount of work, irrespective of the operating frequency or voltage of the processor.
Abstract:
Methods, systems and devices that include a dynamic clock and voltage scaling (DCVS) solution configured to compute and enforce performance guarantees to ensure that a processor does not remain in a busy state (e.g., due to transient workloads) for more than a predetermined amount of time above that which is required for that processor to complete its pre-computed steady state workload. The DCVS may adjust the frequency and/or voltage of a processor based on a variable delay to ensure that the processing core only falls behind its steady state workload by, at most, a predefined maximum amount of work, irrespective of the operating frequency or voltage of the processor.