Hierarchical Memory Tracking Units for Dynamic Granularity
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Solution Overview
Problem
Memory systems face challenges in efficiently tracking the status of different memory regions due to the need for a large number of tracking units to achieve fine granularity, leading to excessive hardware components and power consumption, or poor granularity with fewer units requiring extensive software and hardware tasks.
Innovation Solution
A hierarchical structure with multiple tracking levels is implemented, where tracking units at one level select a target memory area based on access data and then track sub-areas at subsequent levels, allowing for dynamic determination of memory access patterns and efficient memory management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of tracking units are used to achieve fine granularity, then measurement precision is improved, but device complexity and power consumption increase
Solution Approach 1:
The patent divides the memory space into multiple hierarchical levels (e.g., L1, L2, L3) with different tracking granularities. At higher levels, coarser tracking is performed with fewer units, while at lower levels, finer tracking is performed only when needed. This segmentation allows the system to achieve fine granularity where required without proportionally increasing the total number of tracking units across the entire memory space.
Solution Approach 2:
The patent implements dynamic tracking where the system can adjust which memory regions are tracked at which hierarchical levels based on access patterns and thermal characteristics. The tracking configuration changes over time rather than being static, allowing the system to optimize between measurement precision and device complexity by activating fine-grained tracking only when necessary.
2Measurement precision
If a large number of tracking units are used to achieve fine granularity, then measurement precision is improved, but power consumption increases
Solution Approach 1:
By segmenting the memory tracking into hierarchical levels, the patent enables coarse-grained tracking at higher levels that consumes significantly less power than fine-grained tracking at lower levels. The system can operate at lower power by using only the upper hierarchical levels for general tracking and reserving fine-grained tracking for specific hot regions only when needed.
Solution Approach 2:
The patent employs periodic or event-driven fine-grained tracking rather than continuous tracking across all memory regions. Fine-grained tracking is activated periodically or only when thermal thresholds are exceeded, reducing the total power consumption compared to continuous fine-grained tracking while maintaining measurement precision when required.
3Device complexity
If fewer tracking units are used, then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The hierarchical tracking structure segments the memory space such that a small number of tracking units at lower levels can provide fine-grained measurement precision for critical regions, while the majority of memory space is covered by coarser tracking at upper levels. This allows the system to maintain high measurement precision where needed without requiring a large total number of tracking units.
Solution Approach 2:
The patent applies different tracking qualities to different memory regions. Fine-grained tracking is applied locally to hot or critical memory regions where precision is most important, while coarser tracking is applied to cold or less critical regions. This local quality approach maintains measurement precision where it matters most without proportionally increasing overall device complexity.
4Measurement precision
If extensive software and hardware tasks are performed to achieve fine granularity, then measurement precision is improved, but productivity decreases
Solution Approach 1:
By segmenting tracking into hierarchical levels, the patent reduces the total number of tracking units that need to be managed, which decreases the overhead of software and hardware tasks. Coarser tracking at upper levels requires fewer management operations, improving productivity while still enabling fine-grained tracking at lower levels when necessary.
Solution Approach 2:
The dynamic nature of the tracking system allows it to adjust the level of tracking based on current system conditions, reducing the amount of processing required during periods when fine-grained tracking is not needed. This dynamic adjustment minimizes productivity loss by performing extensive tracking tasks only when thermal or performance conditions require them.
Data Source
AI summary
System and methods are provided for dynamically determining accesses to memory areas in a memory system. An example system includes a first plurality of tracking units, a second plurality of tracking units, and a controller. The first plurality of tracking units are configured to determine accesses to multiple memory areas during a first time period and select one of the memory areas based at least in part on the determined accesses to the memory areas, a memory area including multiple sub-areas. The second plurality of tracking units are configured to determine accesses to the sub-areas of the selected memory area during a second time period. The controller is configured to generate information related to the determined accesses to the memory areas and the sub-areas in the selected memory area for memory management.