Dual Processor System for Power-Constrained Wireless Devices
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Solution Overview
Problem
Portable electronics face increased power consumption and shortened battery life due to high-capacity CPUs handling both CPU-intensive and non-intensive tasks, leading to inefficient power usage, especially with frequent notifications that require minimal CPU capacity.
Innovation Solution
A communication system with a low power front end and high performance applications processor, where a low power connectivity processor handles low-speed connections and non-intensive tasks, and a high performance applications processor is enabled only when necessary for computationally intensive tasks, using a power controller to manage power distribution based on packet type and data rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a high capacity CPU is used to handle all tasks, then the device can meet computational demands for both intensive and non-intensive tasks, but power consumption increases and battery life shortens
Solution Approach 1:
The system divides processing tasks into two categories handled by separate processors: low-power tasks (notifications, display updates) are handled by a low-capacity CPU, while high-performance tasks (computationally intensive applications) are handled by a high-capacity CPU. This segmentation allows the device to use only the necessary processing power for each task type, reducing overall power consumption while maintaining full computational capability when needed.
2Use of energy by moving object
If a high capacity CPU is placed in sleep mode when not processing tasks, then power consumption is reduced during idle periods, but power consumption penalty occurs whenever notifications are received requiring CPU activation
Solution Approach 1:
The system segments CPU functionality into two dedicated processors: a always-on low-capacity CPU handles notifications and wake-up events, preventing the need to fully activate the high-capacity CPU for simple tasks. This eliminates the power consumption penalty associated with frequent wake-sleep cycles of a single high-capacity processor, as the low-capacity CPU remains in a low-power state while still providing essential functionality.
3Productivity
If multiple core processors are used to handle various incoming tasks, then task processing capability is improved, but device complexity and power consumption increase
Solution Approach 1:
Instead of using multiple cores within a single processor, the system segments functionality into two separate single-core processors with different capability levels. This approach achieves task processing diversity without the complexity of multi-core synchronization and resource management, while also reducing power consumption by keeping the low-capacity CPU as the primary always-on processor.
Data Source
AI summary
A task processor has a low power connectivity processor and a high performance applications processor. Software processes have a component operative on a connectivity processor and a component operative on an applications processor. The low power connectivity processor is coupled to a low power front end for wireless packets and the high performance applications processor is coupled to a high performance front end. A power controller is coupled to the low power front end and enables the applications processor and high performance front end when wireless packets which require greater processing capacity are received, and removes power from the applications processor and high performance front end at other times.