Micron Technology Incorporated

David L Miller

Bruce A Liikanen

Gerald L Cadloni

Michael T Brady

A request to generate one or more random values can be received. In response to receiving the request to generate the one or more random values, a first read operation can be performed on a memory cell of the memory component to retrieve first data and a second read operation can be performed on the same memory cell of the memory component to retrieve second data. The first data can be compared with the second data to identify a difference between the first data and the second data. The difference can be associated with a noise characteristic of the memory cell. The one or more random values can be generated based on the difference between the first data and the second data that is associated with the noise characteristic of the memory cell.

Generating a random value based on a noise characteristic of a memory cell

A memory quality engine can improve the operation of a memory system by setting more effective operating parameters, disabling or removing memory devices unable to meet performance requirements, and providing evaluations between memory populations. These improvements can be accomplished by converting quality measurements of a memory population into CDF-based data, formulating comparisons of the CDF-based data to metrics for quality analysis, and applying the quality analysis. In some implementations, the metrics for quality analysis can use one or more thresholds, such as a system health threshold. Formulating the comparison to these metrics can include determining an area between a baseline frequency and a curve specified by the CDF-based data. In some implementations, this area can further be defined by a lowest frequency bound and/or can be compared as a ratio to an area of a rectangle that contains the CDF curve.

Memory system quality integral analysis and configuration

A memory quality engine can improve the operation of a memory system by setting more effective operating parameters, disabling or removing memory devices unable to meet performance requirements, and providing evaluations between memory populations. These improvements can be accomplished by converting quality measurements of a memory population into CDF-based data, formulating comparisons of the CDF-based data to metrics for quality analysis, and applying the quality analysis. In some implementations, the metrics for quality analysis can use one or more thresholds, such as a system trigger threshold or an uncorrectable error correction condition threshold, which are set based on the error correction capabilities of a memory system. Formulating the comparison to these metrics can include determining a margin between the CDF-based data at a particular codeword frequency and one of the thresholds.

Memory system quality margin analysis and configuration

A memory quality engine can improve the operation of a memory system by setting more effective operating parameters, disabling or removing memory devices unable to meet performance requirements, and providing evaluations between memory populations. These improvements can be accomplished by converting quality measurements of a memory population into CDF-based data, formulating comparisons of the CDF-based data to metrics for quality analysis, and applying the quality analysis. In some implementations, the metrics for quality analysis can use one or more thresholds, such as a system trigger threshold or an uncorrectable error correction condition threshold, which are set based on the error correction capabilities of a memory system. Formulating the comparison to these metrics can include determining an intersection between the CDF-based data and one of the thresholds.

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Boise, ID, United States of America

David L Miller