18443005. ADDRESS MAPPING TABLE COMPRESSION simplified abstract (Micron Technology, Inc.)
Contents
- 1 ADDRESS MAPPING TABLE COMPRESSION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ADDRESS MAPPING TABLE COMPRESSION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Address Mapping Table Compression Technology
- 1.13 Original Abstract Submitted
ADDRESS MAPPING TABLE COMPRESSION
Organization Name
Inventor(s)
David Aaron Palmer of Boise ID (US)
ADDRESS MAPPING TABLE COMPRESSION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18443005 titled 'ADDRESS MAPPING TABLE COMPRESSION
Simplified Explanation
The patent application describes methods, systems, and devices for compressing address mapping tables in memory systems. This involves identifying sets of logical addresses mapped to physical addresses, selecting compression factors, and removing subsets of physical addresses based on the compression factor.
Key Features and Innovation
- Compression of address mapping tables in memory systems.
- Identification of sets of logical addresses mapped to physical addresses.
- Selection of compression factors based on the sets of logical addresses.
- Removal of subsets of physical addresses to optimize memory usage.
Potential Applications
This technology can be applied in various memory systems, such as computer systems, servers, and embedded devices, to improve memory efficiency and performance.
Problems Solved
- Address mapping table compression to optimize memory usage.
- Efficient management of logical and physical addresses in memory systems.
Benefits
- Improved memory efficiency.
- Enhanced performance of memory systems.
- Optimal utilization of memory resources.
Commercial Applications
Address Mapping Table Compression Technology in Memory Systems
This technology can be utilized in computer systems, servers, and embedded devices to enhance memory efficiency and performance. By compressing address mapping tables, companies can improve the overall functionality of their systems, leading to better user experiences and increased productivity.
Prior Art
For prior art related to address mapping table compression in memory systems, researchers can explore existing patents, academic papers, and industry publications in the field of memory management and optimization.
Frequently Updated Research
Researchers and developers in the field of memory systems continuously explore new methods and technologies to enhance memory efficiency and performance. Stay updated on the latest advancements in address mapping table compression to leverage cutting-edge solutions for memory optimization.
Questions about Address Mapping Table Compression Technology
How does address mapping table compression impact memory performance?
Address mapping table compression can significantly improve memory performance by reducing the memory footprint and optimizing memory access times. This leads to faster data retrieval and overall system responsiveness.
What are the key factors to consider when selecting a compression factor for address mapping tables?
When selecting a compression factor for address mapping tables, it is essential to consider the size of the logical and physical address sets, the memory constraints of the system, and the desired level of compression to achieve optimal memory efficiency.
Original Abstract Submitted
Methods, systems, and devices for address mapping table compression are described. A memory system may identify, for a region of an address mapping table, sets of sequentially indexed logical addresses that are mapped to sets of sequentially indexed physical addresses. The memory system may select a compression factor for the region based on the sets of sequentially indexed logical addresses. And the memory system may remove subsets of physical addresses from the sets of sequentially indexed physical addresses in the region based on the compression factor.
