Memory Controller Dynamic Page Close Policy
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Solution Overview
Problem
Current page close policies for memory systems, such as DRAM, are inefficient in minimizing page conflicts, leading to increased latency and power consumption.
Innovation Solution
A dynamic page close policy is implemented using trackers to record historical and current page hit patterns, allowing for predictive decisions on whether to close or keep pages open based on expected access patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a page is kept open in the row buffer to enable fast access (page hit), then memory access speed is improved, but memory resources are occupied and cannot be used for other pages
Solution Approach 1:
The patent implements dynamic page close policies that adaptively adjust page lifetime based on observed access patterns. The memory controller continuously monitors page access behavior and dynamically decides when to close pages, transitioning from static to dynamic resource management. This allows the system to optimize between keeping pages open for fast access and closing them for resource availability based on actual usage patterns.
Solution Approach 2:
The patent employs feedback mechanisms where the memory controller monitors page access patterns and uses this information to make informed decisions about page management. By tracking access history and predicting future access needs, the system feedback-loop adjusts page close timing to balance fast access requirements with resource availability, resolving the contradiction between speed and adaptability.
2Adaptability or versatility
If a page is closed early to free up memory resources, then resource availability is improved, but access latency increases due to page empty or page conflict scenarios
Solution Approach 1:
The patent uses predictive algorithms that analyze historical access patterns to determine the optimal time to close pages before resources are critically needed. By performing preliminary analysis of access patterns, the system can close pages at strategically optimal moments that minimize the impact on future access latency while still freeing up resources timely.
Solution Approach 2:
The dynamic page close policy continuously adapts page management decisions based on real-time access pattern analysis. Rather than using fixed close timing, the system dynamically adjusts when to close pages based on observed behavior, optimizing the balance between resource availability and access latency for each specific access pattern.
3Device complexity
If conventional page close policies are used, then implementation simplicity is maintained, but page conflicts are not minimized leading to increased latency and power consumption
Solution Approach 1:
The patent introduces feedback-driven page close policies where the memory controller monitors access patterns and uses this information to optimize page management. This feedback mechanism enables the system to reduce page conflicts and improve performance without requiring complex manual configuration, as the system automatically learns and adapts to access patterns.
Solution Approach 2:
The memory management system performs self-optimization by automatically analyzing its own access patterns and making intelligent page close decisions. The system serves itself by implementing predictive algorithms that autonomously optimize page lifecycle management, reducing the need for external configuration while improving performance and reducing power consumption.
Data Source
AI summary
Memory controllers and related methods for implementing an address-based dynamic page close policy are described. An example method includes using a first tracker, having entries indexed by a hash of system memory addresses for a physical memory region, tracking page hits associated with the physical memory region to develop a historical record of page hits to the physical memory region. The method further includes using a second tracker, having entries indexed by a hash of system memory addresses for the physical memory region, tracking page hits to the physical memory region to develop a current record of page hits to the physical memory region. The method further includes predicting whether to close a page or keep the page open based on a comparison of the historical record of page hits to the physical memory region with the current record of page hits to the physical memory region.