Qualcomm Incorporated

Thomas Andrew Morison

Alex Kuang-Hsuan Tu

Hee-Jun Park

Thomas Andrew Sartorius

Richard Gerard Hofmann

Hee Jun Park

Ronald Alton

Alex Tu

Tao Xue

Juhi Saha

Ronald Frank Alton

A dynamic scheduler is provided that schedules tasks for a plurality of cores based upon current operating characteristics for the cores. The current operating characteristics include a predicted leakage current for each core based upon an analytical model.

Multi-core dynamic workload management using native and dynamic parameters

A system is disclosed for mapping operating-system-identified addresses for substantially-identical hardware modules into performance-parameter-based addresses for the hardware modules. The mapping is accomplished by configuring a flexible I/O interface responsive to a characterization of at least one performance parameter for each hardware module.

Flexible hardware module assignment for enhanced performance

Various embodiments of methods and systems for mode-based reallocation of workloads in a portable computing device ('PCD') 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 performance capabilities or strengths, and because more than one of the processing components may be capable of processing a given block of code, mode-based reallocation systems and methodologies can be leveraged to optimize quality of service (&#x201c;QoS&#x201d;) by allocating workloads in real time, or near real time, to the processing components most capable of processing the block of code in a manner that meets the performance goals of an operational mode. Operational modes may be determined by the recognition of one or more mode-decision conditions in the PCD.

Modal workload scheduling in a heterogeneous multi-processor system on a chip

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San Diego, CA, United States of America

Thomas Andrew Morison