18610028. DATA COMPRESSION FOR MAPPING TABLES simplified abstract (Micron Technology, Inc.)

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DATA COMPRESSION FOR MAPPING TABLES

Organization Name

Micron Technology, Inc.

Inventor(s)

Deping He of Boise ID (US)

Wenjun Wu of Shanghai (CN)

DATA COMPRESSION FOR MAPPING TABLES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18610028 titled 'DATA COMPRESSION FOR MAPPING TABLES

Simplified Explanation: The patent application describes methods, systems, and devices for data compression for mapping tables in a memory system.

Key Features and Innovation:

  • Memory system storing mappings between logical and physical block addresses
  • Entries in the table include subsets of physical block addresses and corresponding logical block addresses
  • Determining quantity and size of entries based on dividing the set of physical block addresses by a factor

Potential Applications: This technology can be applied in various memory systems, storage devices, and data management systems that require efficient mapping of logical and physical block addresses.

Problems Solved: This technology addresses the need for data compression in mapping tables to optimize memory usage and improve performance in memory systems.

Benefits:

  • Improved memory efficiency
  • Enhanced performance in data mapping
  • Reduced memory footprint

Commercial Applications: The technology can be utilized in solid-state drives, databases, virtualization systems, and other memory-intensive applications to enhance data mapping efficiency and overall system performance.

Prior Art: Readers can explore prior patents related to data compression, memory systems, and mapping tables to understand the evolution of this technology.

Frequently Updated Research: Stay updated on advancements in data compression algorithms, memory management techniques, and storage system optimizations to enhance the performance of mapping tables in memory systems.

Questions about Data Compression for Mapping Tables: 1. How does data compression in mapping tables impact memory system performance? 2. What are the key factors to consider when determining the quantity and size of entries in mapping tables for efficient data compression?


Original Abstract Submitted

Methods, systems, and devices for data compression for mapping tables are described. A memory system may store a table that includes mappings between a set of logical block addresses and a set of physical block addresses. The table may be stored to volatile memory of the memory system and each entry may include a subset of physical block addresses and one or more logical block addresses that correspond to the subset of physical block addresses. In some implementations, a quantity of the entries that each include the subset of physical block addresses and the one or more logical block addresses may be determined based on dividing the set of physical block addresses by a factor. Similarly, a size of the entries may be determined based on dividing the set of physical block addresses by the factor.