Memory Controller Selective Data Compression
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Solution Overview
Problem
Current memory technologies face challenges in maximizing storage capacity and performance, as they often require unnecessary data compression operations that increase power consumption and latency, especially when dealing with varying data patterns.
Innovation Solution
A memory controller with a compression ratio calculator determines whether input data exceeds a predetermined compression ratio, enabling selective data compression only when necessary, thereby optimizing storage and reducing unnecessary compression operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data compression is performed on all input data, then storage capacity is improved, but power consumption and latency increase due to unnecessary compression operations
Solution Approach 1:
The system changes the parameter of compression application from universal (all data) to selective (only when compression ratio exceeds threshold). The compression ratio calculator continuously monitors compression ratios and dynamically controls compression block operations based on real-time data characteristics, thereby reducing unnecessary compression operations and associated power consumption while maintaining storage capacity improvements where beneficial
Solution Approach 2:
The compression ratio calculator autonomously evaluates input data characteristics and automatically determines when compression is beneficial. The system serves itself by making intelligent decisions about compression based on measured compression ratios, eliminating the need for external intervention or manual configuration while optimizing the balance between storage capacity and power consumption
2Quantity of substance
If data compression is performed on all input data, then storage capacity is improved, but write latency increases due to unnecessary compression operations
Solution Approach 1:
The system dynamically changes the compression operation parameter based on real-time compression ratio measurement. When the compression ratio calculator determines that the compression ratio does not exceed the threshold, the compression block skips compression operations, thereby reducing write latency for data that does not benefit from compression while maintaining storage capacity improvements for compressible data
Solution Approach 2:
The system applies compression only partially - specifically only when the compression ratio exceeds the predetermined threshold. This partial application of compression avoids the excessive action of compressing all data regardless of characteristics, thereby reducing write latency for non-compressible data while maintaining storage capacity benefits for compressible data
3Quantity of substance
If compression ratio threshold is set low, then more data is compressed improving storage capacity, but more compression operations increase power consumption
Solution Approach 1:
The system uses a dynamically adjustable compression ratio threshold parameter to control the balance between storage capacity and compression operation volume. The compression ratio calculator continuously monitors actual compression ratios and compares them against this threshold, automatically adjusting which data undergoes compression to optimize the trade-off between achieving sufficient storage capacity and limiting unnecessary compression operations
Data Source
AI summary
A memory controller comprises a host interface block comprising a compression ratio calculator configured to determine whether a compression ratio of input data exceeds a predetermined compression ratio, and a compression block configured to compress the input data as a consequence of the host compression ratio calculator determining that the compression ratio exceeds the predetermined compression ratio.