18420211. Methods and Apparatus for Characterizing Memory Devices simplified abstract (Micron Technology, Inc.)

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Methods and Apparatus for Characterizing Memory Devices

Organization Name

Micron Technology, Inc.

Inventor(s)

Jonathan D. Harms of Boise ID (US)

Methods and Apparatus for Characterizing Memory Devices - A simplified explanation of the abstract

This abstract first appeared for US patent application 18420211 titled 'Methods and Apparatus for Characterizing Memory Devices

Simplified Explanation

Methods and apparatus for using characterized memories in various applications

  • Characterized memories are associated with a range of performances over a range of operational parameters.
  • Characterized memories can be used with a solution density function to optimize memory searching.
  • Cryptocurrency miners can utilize characterized memories to generate memory hard proof-of-work (POW).
  • Validation mechanism implemented for a plurality of searching apparatus in parallel for efficiency.
  • Other applications include blockchain, social media, machine learning, and probabilistic applications.

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      1. Potential Applications

The technology of using characterized memories can be applied in various fields such as cryptocurrency mining, blockchain technology, social media platforms, machine learning algorithms, and probabilistic applications.

      1. Problems Solved

This technology helps optimize memory searching, improve the efficiency of cryptocurrency mining, validate solutions accurately, and enhance the performance of various applications that require memory-intensive processes.

      1. Benefits

The benefits of using characterized memories include increased efficiency in memory searching, enhanced security in cryptocurrency mining, improved accuracy in solution validation, and overall optimization of memory-intensive tasks.

      1. Potential Commercial Applications

The technology of characterized memories can be commercially applied in cryptocurrency mining hardware, blockchain platforms, social media analytics tools, machine learning systems, and other memory-intensive applications.

      1. Possible Prior Art

One possible prior art in this field could be the use of memory characterization techniques in computer hardware testing and optimization processes. This technology builds upon existing methods to enhance memory performance and efficiency in various applications.

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        1. Unanswered Questions
      1. How does the validation mechanism ensure the accuracy of solutions in cryptocurrency mining?

The abstract mentions a validation mechanism implemented for a plurality of searching apparatus in parallel. However, it does not provide specific details on how this mechanism works to validate solutions accurately in cryptocurrency mining.

      1. What are the specific operational parameters associated with characterized memories?

While the abstract mentions that characterized memories are associated with a range of performances over a range of operational parameters, it does not specify what these operational parameters are or how they impact the performance of the memories.


Original Abstract Submitted

Methods and apparatus for using characterized devices such as memories. In one embodiment, characterized memories are associated with a range of performances over a range of operational parameters. The characterized memories can be used in conjunction with a solution density function to optimize memory searching. In one exemplary embodiment, a cryptocurrency miner can utilize characterized memories to generate memory hard proof-of-work (POW). The results may be further validated against general compute memories; such that only valid solutions are broadcasted to the mining community. In one embodiment, the validation mechanism is implemented for a plurality of searching apparatus in parallel to provide a more distributed and efficient approach. Various other applications for characterized memories are also described in greater detail herein (e.g., blockchain, social media, machine learning, probabilistic applications and other error-tolerant applications).