17938898. ERROR DETECTION AND CLASSIFICATION AT A MEMORY DEVICE simplified abstract (Micron Technology, Inc.)

From WikiPatents
Revision as of 04:17, 16 April 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

ERROR DETECTION AND CLASSIFICATION AT A MEMORY DEVICE

Organization Name

Micron Technology, Inc.

Inventor(s)

Aaron P. Boehm of Boise ID (US)

Scott E. Schaefer of Boise ID (US)

ERROR DETECTION AND CLASSIFICATION AT A MEMORY DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 17938898 titled 'ERROR DETECTION AND CLASSIFICATION AT A MEMORY DEVICE

Simplified Explanation

Methods, systems, and devices for error detection and classification are described in the patent application. A memory device reads a codeword from memory, generates syndrome bits, and uses them to detect errors in the codeword. The memory device then provides error detection bits to a host device.

  • Memory device reads codeword from memory
  • Generates first set of syndrome bits
  • Uses first set of syndrome bits to generate first error detection bit
  • Generates second set of syndrome bits
  • Uses second set of syndrome bits to generate second error detection bit
  • Provides error detection bits to host device

Potential Applications

This technology can be applied in:

  • Data storage systems
  • Communication systems
  • Error correction algorithms

Problems Solved

  • Error detection in memory devices
  • Efficient classification of errors
  • Improved data reliability

Benefits

  • Enhanced data integrity
  • Increased system reliability
  • Faster error detection and correction

Potential Commercial Applications

  • Memory devices
  • Data centers
  • Communication networks

Possible Prior Art

One possible prior art for error detection and classification in memory devices is the use of parity bits to detect errors in data transmission.

Unanswered Questions

How does this technology compare to existing error detection methods?

The article does not provide a comparison with existing error detection methods to highlight the advantages of this technology.

What are the potential limitations of this error detection and classification system?

The article does not address any potential limitations or challenges that may arise when implementing this technology.


Original Abstract Submitted

Methods, systems, and devices for error detection and classification are described. A memory device may read a codeword from a memory and generate a first set of syndrome bits for the codeword. The memory device may use the first set of syndrome bits to generate a first error detection bit. The memory device may generate a second set of syndrome bits for the codeword and use the second set of syndrome bits to generate a second error detection bit. The memory device may provide the first error detection bit and the second error detection bit to a host device.