Adaptive Memory Mirroring Accelerator for Flash Latency
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Solution Overview
Problem
Existing data processing techniques, such as XIP-capable Flash memory, face challenges with latency and inefficiency, especially in multi-processor environments and when reading from Flash memory.
Innovation Solution
An adaptive performance accelerator, embodied as an integrated circuit, dynamically maps frequently accessed data to lower latency memory, creating shadow copies in faster memory locations and intercepting access requests to remap them efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in non-volatile storage (Flash memory) for XIP processing, then memory availability increases, but access latency increases
Solution Approach 1:
The system proactively identifies frequently accessed data blocks and pre-loads them into the pre-fetch buffer before they are actually needed by the processor. This preliminary action eliminates the latency penalty by having data ready in advance, while still allowing the system to use大容量 non-volatile storage for the bulk data repository.
Solution Approach 2:
The pre-fetch buffer acts as an intermediary layer between the non-volatile Flash memory and the processor cache. It mediates access patterns by capturing frequently requested data from Flash and making it available faster, thus resolving the contradiction between using large-capacity slow storage and maintaining fast access performance.
2Speed
If a pre-fetch buffer is used to cache data, then access speed improves, but scalability to multi-processor environments deteriorates
Solution Approach 1:
The pre-fetch buffer is designed with a shared architecture that can be accessed by multiple processors simultaneously. It implements arbitration logic to handle concurrent access requests from different processors, making the buffer universally accessible and scalable to multi-processor environments while maintaining high access speeds for all processors.
Solution Approach 2:
The pre-fetch buffer is divided into multiple independent segments or ways, allowing different processors to access different segments simultaneously. This segmentation enables parallel access operations and improves scalability by reducing contention between processors while maintaining high access speeds.
3Loss of time
If data is pre-fetched from Flash memory, then latency is reduced, but efficiency for reading from Flash deteriorates
Solution Approach 1:
The system performs partial pre-fetching by only loading frequently accessed data blocks into the buffer, rather than pre-fetching entire files or large portions of Flash memory. This selective approach reduces the overhead on Flash reading operations while still achieving latency reduction for the critical frequently accessed data.
Solution Approach 2:
The system implements access pattern monitoring that provides feedback on which data blocks are frequently accessed. This feedback mechanism allows the pre-fetch logic to intelligently select which data to load from Flash, optimizing the balance between reducing latency for hot data and maintaining efficient Flash reading by avoiding unnecessary pre-fetch operations.
Data Source
AI summary
An Adaptive Memory Mirroring Performance Accelerator (AMMPA) includes a transaction handling block that dynamically maps the most frequently accessed data segments into faster access memory. The technique creates shadow copies of the most frequently accessed data segments in the faster access memory, which is associated with lower latency. Access frequencies of the data segments for which shadow copies are provided are updated dynamically based on use. The technique is flexible for different memory hierarchies.