Performance optimization of data transfer for soft information generation

Abstract

A single command initiates a first read operation and sequence of one or more additional read operations from the same portion of memory. The one or more additional read operations are terminable after the first read operation provides a first plurality of data values that is made available to a requesting device and / or module. In some implementations, the first plurality of data values includes hard information values. Subsequent pluralities of data values are generated from the same portion of memory until a terminating event occurs. In some implementations, until a terminating event occurs, a respective hybrid plurality of data values is generated by combining the latest read plurality of data values with one of a previously generated hybrid plurality of data values and the first plurality of data values. Each hybrid plurality of data values is representative of a corresponding plurality of soft information values.

Description

technical field [0001] The present disclosure relates to error control in memory systems, and in particular, managing data for error-controlled decoding of soft information. Background technique [0002] Semiconductor memory devices, including flash memory, typically utilize memory cells to store data as electrical values, such as charge or voltage. A flash memory cell includes, for example, a single transistor with a floating gate for storing an electrical charge representing a data value. Increases in storage density have been facilitated in various ways, including increasing the density of memory cells on a chip brought about by manufacturing developments, and switching from single-level flash memory cells to multi-level flash memory cells so that each A flash memory cell stores two or more bits. [0003] The downside of increasing storage density is that stored data is increasingly prone to being stored and / or read incorrectly. An error control coding (ECC) engine is ...

AI Technical Summary

Problems solved by technology

However, decoding with soft information has some previously unresolved drawbacks

For example, soft information decoding implementations tend to introduce undesired delays (i.e., latency), have relatively large semiconductor footprints, and are often power and memory intensive.

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