Classified Multi-Path Storage for Noise and Redundancy Reduction

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Solution Overview

Problem

Existing storage systems fail to effectively address noise and data redundancy in data processing, leading to increased processing time and reduced efficiency, particularly in applications like machine learning and artificial intelligence.

Innovation Solution

Implementing a storage system with dual data paths, one path without data compression for uncompressed data and another with data compression using a processor to preprocess data, addressing noise and redundancy before storage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If data is stored without preprocessing, then storage speed is improved, but data quality deteriorates due to noise and redundancy

Engineering Contradiction:
Improvestorage speedVSAvoiddata quality
Core Design Contradiction:
SpeedVSManufacturing precision

Solution Approach 1:

The patent applies preliminary action by preprocessing data (removing noise and redundancy) before storage. The system includes a preprocessing unit that cleans data before it enters the storage unit, ensuring high data quality is achieved in advance rather than requiring post-processing later.

Inventive Principle:
Principle #10Preliminary action

2Manufacturing precision

If data preprocessing is performed, then data quality is improved, but processing time increases

Engineering Contradiction:
Improvedata qualityVSAvoidprocessing time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent performs data preprocessing in advance before storage operations, so that when data is retrieved, it is already clean and ready for use. This eliminates the need for repeated processing during read operations, reducing overall processing time despite the initial preprocessing step.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If multiple data paths are implemented, then data processing efficiency is improved, but device complexity increases

Engineering Contradiction:
Improvedata processing efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the storage system into distinct functional units: a preprocessing unit and a storage unit with multiple data paths. Each unit has a specific function, allowing parallel processing of data through multiple paths while maintaining manageable complexity through clear functional separation.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The storage unit is designed with multi-functionality, serving both as a preprocessing stage and a storage stage with multiple data paths. This universal design allows the same hardware structure to handle different data processing tasks, improving efficiency without proportionally increasing complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12461685B2Storage system with multiple data paths depending on data classifications
Publication Date: 2025.11.04 MICRON TECHNOLOGY INC
  • US12461685B2 patent drawing
  • US12461685B2 patent drawing
  • US12461685B2 patent drawing

AI summary

In some implementations, a storage system may receive, via a system controller of the storage system, a write command and data associated with the write command. The storage system may classify, via the system controller, the data. The storage system may associate, via the system controller, the data with a queue based on classifying the data. The storage system may retrieve, via a processor of the storage system, the data associated with the queue. The storage system may compress, via the processor, the data to form compressed data for storage in a memory device of the storage system based on the write command.