Always-On Context Sensor Hubs with Core Offloading for Low-Power Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing sensor hubs are limited in their ability to process a wide range of sensor data types efficiently, particularly when operating in an always-on mode, leading to inefficiencies and increased power consumption.
Innovation Solution
The implementation of a context sensor hub with multiple processor cores, including an ultra-low power domain and low power domain, allows for efficient processing of various sensor data types, such as location, vision, and audio, by distributing tasks across cores and utilizing a host controller to manage interactions and simplify configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensor hubs process multiple different types of sensor data in always-on mode, then processing capability and versatility are improved, but power consumption increases
Solution Approach 1:
The sensor hub is divided into multiple independent processor cores, each specialized for specific sensor data types (e.g., audio core, vision core, location core). This segmentation allows the system to activate only the necessary cores for current processing tasks, improving versatility while controlling power consumption by keeping inactive cores in low-power states.
Solution Approach 2:
The sensor hub implements dynamic power management where processor cores can transition between active and low-power states based on processing requirements. The host controller dynamically allocates computational tasks to appropriate cores and adjusts their operational states, enabling the system to adapt processing capability to actual needs while minimizing power consumption during always-on operation.
2Productivity
If multiple processor cores are used to handle different sensor data types, then processing efficiency is improved, but device complexity increases
Solution Approach 1:
The host controller serves as a universal management unit that handles common functions for all processor cores, including task scheduling, memory management, and inter-core communication. This multi-functional host controller reduces overall system complexity by providing centralized management rather than requiring separate control logic for each core, while still enabling efficient parallel processing across multiple specialized cores.
Data Source
AI summary
Methods and apparatus to implement always-on context sensor hubs for processing multiple different types of data inputs are disclosed. An examples apparatus includes a first processor core to implement a host controller, and a second processor core to implement an offload engine. The host controller includes first logic to process sensor data associated with an electronic device when the electronic device is in a low power mode. The host controller is to offload a computational task associated with the sensor data to the offload engine. The offload engine includes second logic to execute the computational task.