18606809. NEAR-MEMORY PSEUDORANDOM NUMBER GENERATION simplified abstract (Micron Technology, Inc.)

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NEAR-MEMORY PSEUDORANDOM NUMBER GENERATION

Organization Name

Micron Technology, Inc.

Inventor(s)

David Andrew Roberts of Wellesley MA (US)

Tony M. Brewer of Plano TX (US)

Scott Lynn Michaelis of Plano TX (US)

NEAR-MEMORY PSEUDORANDOM NUMBER GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18606809 titled 'NEAR-MEMORY PSEUDORANDOM NUMBER GENERATION

Simplified Explanation: The patent application describes systems and methods for generating a set of pseudorandom numbers in a computing system using a memory device and a compute element.

Key Features and Innovation:

  • Memory controller receives instructions from the compute element to generate pseudorandom numbers.
  • The memory controller generates the set of pseudorandom numbers and writes them to the memory array for access by the compute element.

Potential Applications: This technology can be used in various applications requiring pseudorandom number generation, such as cryptography, simulations, and gaming.

Problems Solved: The technology addresses the need for efficient and reliable pseudorandom number generation in computing systems.

Benefits:

  • Improved security in cryptographic applications.
  • Enhanced realism in simulations and gaming.
  • Efficient and accurate pseudorandom number generation.

Commercial Applications: Potential commercial applications include secure communication systems, gaming platforms, and scientific simulations.

Prior Art: Readers can explore prior art related to pseudorandom number generation algorithms, memory controller technologies, and computing system architectures.

Frequently Updated Research: Stay updated on advancements in pseudorandom number generation algorithms, memory controller technologies, and computing system optimizations.

Questions about Pseudorandom Number Generation: 1. What are the key challenges in pseudorandom number generation? 2. How does pseudorandom number generation impact cybersecurity measures?

2. Another relevant generic question, with a detailed answer: What are the different methods used for pseudorandom number generation in computing systems?


Original Abstract Submitted

Various examples are directed to systems and methods for generating a set of pseudorandom numbers in a computing system comprising a compute element and a memory device. A memory controller of the memory device may receive, from the compute element, an indication to generate a set of pseudorandom numbers. The memory controller may generate the set of pseudorandom numbers and write the set of pseudorandom numbers to a memory array of the memory device for access by the compute element.