Memory Management Unit Compressed Data Access
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Solution Overview
Problem
Coordinating access to shared resources, particularly memory, in electronic systems is complex due to differences in storage capacity and access speeds, and conventional compression techniques are inflexible, hindering efficient virtual to physical address translation.
Innovation Solution
A shared resource management system with a memory management unit (MMU) that handles access requests for compressed data, using a compression status indication and page table entries to manage compression formats and virtual to physical address translations, allowing flexible compression and efficient memory access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional compression techniques are used, then storage efficiency is improved, but flexibility in compression is limited
Solution Approach 1:
The system dynamically selects compression techniques based on data characteristics and access patterns. The compression manager can switch between different compression algorithms and levels depending on the specific needs of each data access operation, making the compression approach adaptive rather than static.
Solution Approach 2:
The invention changes compression parameters such as compression level, algorithm type, and data block size based on access patterns and storage requirements. This allows the system to optimize storage efficiency for different workloads while maintaining flexibility in how compression is applied.
2Adaptability or versatility
If virtual memory space addressing is used, then memory access flexibility is improved, but complexity of address translation increases
Solution Approach 1:
The system introduces a compression manager as an intermediary component that handles the complexity of coordinating compression with virtual-to-physical address translation. This mediator manages the interaction between virtual memory addressing and compression techniques, simplifying the overall system architecture.
Solution Approach 2:
The address translation process is segmented into manageable components: virtual address translation, compression status determination, and physical address calculation. By dividing the complex translation process into separate stages handled by different system components, the overall complexity is reduced while maintaining flexibility.
3Quantity of substance
If compressed data is stored, then storage capacity utilization is improved, but access speed may be reduced
Solution Approach 1:
The system applies compression only to portions of data that benefit from it, rather than compressing all data uniformly. This partial compression approach allows the system to optimize storage capacity for compressible data while maintaining fast access for data that requires rapid retrieval, balancing storage efficiency with access speed.
Data Source
AI summary
A shared resource management system and method are described. In one embodiment a shared resource management system includes a plurality of engines, a shared resource, and a shared resource management unit. In one exemplary implementation the shared resource is a memory and the shared resource management unit is a memory management unit (MMU). The plurality of engines perform processing. The shared resource supports the processing. For example, a memory stores information and instructions for the engines. The shared resource management unit manages memory operations and handles access requests associated with compressed data.


