Qualcomm Incorporated

Mark D Guzzi

Bohuslav Rychlik

Sumit Sur

James Michael Artmeier

Philip T Mueller, Jr

Norman S Gargash

Brian J Salsbery

Praveen Kumar Chidambaram

Yizheng Zhou

Chris Barrett

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.

Thermally driven workload scheduling in a heterogeneous multi-processor system on a chip

A method of utilizing a node power architecture (NPA) system, the method includes receiving a request to create a client, determining whether a resource is compatible with the request, and returning a client handle when the resource is compatible with the request.

System and method of controlling power in an electronic device

Growing community of inventors

Boulder, CO, United States of America

Mark D Guzzi