Memory Compaction Table Compression and Segmentation
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Solution Overview
Problem
Current data compression methods in memory devices are inefficient due to the space taken up by compaction table entries and complex offset calculations, which hinder data access performance.
Innovation Solution
The system and method for compressing and compacting memory in a memory device involve reducing compaction table entry size through compression, optimizing data arrangement for improved compression ratios, and managing compression based on memory device usage, including delaying compression during frequent access and selecting appropriate compression processes based on access patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If compaction table entries are used to index compressed memory data, then data location tracking is improved, but memory space is consumed and offset calculations become complex
Solution Approach 1:
The patent extracts the compaction table from main memory and stores it in a separate cache memory structure. This separation removes the indexing overhead from the primary memory space, allowing compressed data to be stored more efficiently while maintaining location tracking capabilities through the cached compaction table.
Solution Approach 2:
The patent introduces a compaction manager as an intermediary component that handles offset calculations and compaction table management. This mediator abstracts the complexity of offset calculations from the main system, providing simplified access to compressed data locations without requiring the host system to perform complex calculations.
2Quantity of substance
If compression is applied to memory data, then storage capacity is improved, but access latency increases due to decompression overhead
Solution Approach 1:
The patent applies different compression strategies to different regions of memory based on access patterns. Frequently accessed data is kept in uncompressed or lightly compressed form in cache memory, while less frequently accessed data uses higher compression ratios in main memory. This local differentiation optimizes both storage capacity and access latency by matching compression levels to actual usage patterns.
Solution Approach 2:
The patent implements pre-compression of data before it is written to memory and pre-allocation of compaction table entries. By performing compression operations in advance rather than during data access, the system minimizes access latency while maintaining high compression ratios. The compaction manager prepares data structures ahead of time to enable rapid decompression when data is accessed.
3Stability of the object's composition
If compaction tables are implemented to manage compressed data, then data organization is improved, but device complexity increases
Solution Approach 1:
The patent divides the compaction table into multiple segments or pages that can be independently managed and cached. This segmentation allows the system to handle large compaction tables without requiring the entire structure to be loaded into cache memory, reducing the complexity of table management while maintaining effective data organization. Each segment can be independently accessed and updated by the compaction manager.
Data Source
AI summary
A method for compressing and compacting memory on a memory device is described. The method includes organizing a number of compressed memory pages referenced in a number of compaction table entries based on a size of the number of compressed memory pages and compressing the number of compaction table entries, in which a compaction table entry comprise a number of fields.