Intelligent Cache Flushing for Processor Sleep-State Power Control
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Solution Overview
Problem
Computer processors face challenges in optimizing power consumption and battery life due to inefficient cache management, leading to increased energy usage and reduced battery performance.
Innovation Solution
Implementing an intelligent cache flushing mechanism that dynamically adjusts cache operations based on workload and power constraints to minimize unnecessary cache operations and reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cache flushing is performed before entering sleep state, then data consistency and system reliability are improved, but power consumption increases and battery life decreases
Solution Approach 1:
The system dynamically adjusts cache flushing behavior based on real-time conditions including sleep duration, cache occupancy, and power constraints. The decision to flush or not flush is made adaptively rather than statically, allowing the system to optimize between data consistency and power consumption based on current operational context
Solution Approach 2:
The system changes parameters such as cache flush threshold, sleep duration requirements, and power consumption limits to resolve the contradiction. By adjusting these parameters based on system state, the system can maintain data consistency when needed while reducing power consumption during battery-operated scenarios
2Productivity
If cache operations are performed continuously, then system performance and data availability are maintained, but power consumption increases
Solution Approach 1:
Instead of continuous cache operations, the system implements periodic actions where cache flushing and performance monitoring occur at specific intervals or triggered by particular events. This allows the system to maintain performance when needed while reducing power consumption during idle or low-activity periods
Solution Approach 2:
The system autonomously monitors its own state including cache occupancy, sleep duration, and power consumption, making self-directed decisions about when to perform cache operations. This self-service mechanism eliminates unnecessary operations while maintaining performance through intelligent self-regulation
3Duration of action of stationary object
If sleep state duration is extended, then power savings increase and battery life improves, but cache flush requirements and system complexity increase
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor sleep duration, cache state, and power consumption to adjust cache flushing decisions. This feedback loop allows the system to handle extended sleep states intelligently by adapting cache management behavior based on actual conditions rather than following fixed complex protocols
Data Source
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AI summary
Embodiments include a cache associated with at least a first core or functional circuit block; and a power controller to evaluate at least one of energy and power consumption associated with the first core or functional circuit block remaining in an active state, entering a first sleep state, or entering a second sleep state; the power controller to evaluate the at least one of energy and power consumption based, at least in part, on energy associated with flushing the plurality of cachelines when entering into the second sleep state, an expected sleep time, and power consumption of the first core or functional circuit block in the active state, the first sleep state, and the second sleep state; the power controller to cause the first core or functional circuit block to remain active, enter into the first sleep state, or the second sleep state based on a minimum energy consumption.