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Predicting data correlation using multivalued logical outputs in static random access memory (SRAM) storage cells

  • US 10,418,094 B2
  • Filed: 02/08/2018
  • Issued: 09/17/2019
  • Est. Priority Date: 02/21/2017
  • Status: Active Grant
First Claim
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1. A method of predicting data correlation using multivalued logical outputs in modified static random access memory (SRAM) storage cells comprising:

  • writing, into modified SRAM storage cells, a plurality of logical outputs for each of a plurality of variable sets, wherein each variable in each variable set is a data point, and wherein each logical output is a binary indication of a relationship between the data points of each variable set; and

    for each group of corresponding logical outputs of the plurality of logical outputs;

    activating a fight port for the modified SRAM storage cells storing corresponding logical outputs, wherein activating the fight port causes each corresponding logical output to adjust a resulting voltage based on the logical output stored in each modified SRAM storage cell, wherein the resulting voltage on a bitline of the activated fight port determines a correlation probability for the corresponding logical outputs.

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