Micron Technology Incorporated

Sandisk Technologies Inc.

Lakshmi Kalpana Vakati

Kishore Kumar Muchherla

Peter Sean Feeley

Jiangli Zhu

Fangfang Zhu

Sanjay Subbarao

Akira Goda

Dave Scott Ebsen

Vivek Shivhare

Jonathan Scott Parry

Eric N Lee

Jeffrey S McNeil, Jr

Ekamdeep Singh

Harish Reddy Singidi

Jianmin Huang

Chang Hua Siau

Xiangang Luo

Dheeraj Srinivasan

Gopinath Balakrishnan

Ashish Ghai

Jeffrey Ming-Hung Tsai

Kapil Verma

Lu Tong

Chai Chuan Yao

Sheng Huang Lee

Matthew Ivan Warren

A method performed by a processing device receives a plurality of write operation requests, where each of the write operation requests specifies a respective one of the memory units, identifies one or more operating characteristic values, where each operating characteristic value reflects one or more memory access operations performed on a memory device, and determines whether the operating characteristic values satisfy one or more threshold criteria. Responsive to determining that the operating characteristic values satisfy the one or more threshold criteria, the method performs a plurality of write operations, where each of the write operations writes data to the respective one of the memory units, and performs a multiple-read scan operation subsequent to the plurality of write operations, where the multiple-read scan operation reads data from each of the memory units.

Workload-based scan optimization

Control logic in a memory device executes a programming operation to program the set of memory blocks of the set of memory planes to a set of a programming levels. In response to determining at least a portion of a first memory block passed a program verify operation associated with a last programming level of the set of programming levels, the control logic executes a first program sub-operation to terminate the programming operation with respect to a first subset of one or more memory planes of the set of memory planes that passed the program verify operation associated with the last programming level and identify a second subset of one or more memory planes that failed the program verify operation associated with the last programming level. The control logic executes a second program sub-operation to apply a trim set to the second subset of one or more memory planes that failed the program verify operation of the last programming level.

Multiple plane programming with quick plane programming termination and lagging plane boosting

Methods, systems, and apparatuses include receiving a write command including user data. The write command is directed to a portion of memory including a first block and a second block. A buffer is allocated for executing the write command to the first block. The buffer includes multiple buffer decks and the buffer holds the user data written to the first block. User data is programmed into the first block to a threshold percentage. The threshold percentage is less than one hundred percent of the first block. A buffer deck is invalidated in response to programming the first block to the threshold percentage. The buffer deck is reallocated to the second block for programming the user data into the second block. The buffer deck holds user data written to the second block.

Buffer allocation for reducing block transit penalty

Methods, systems, and apparatuses include retrieving a defectivity footprint of a portion of memory, the portion of memory composed of multiple blocks. A deck programming order is determined, based on the defectivity footprint, for a current block of the multiple blocks. The current block is composed of multiple decks. The deck programming order is an order in which the multiple decks are programmed. The multiple decks programmed according to the determined deck programming order.

Memory block programming using defectivity information

Methods, systems, and apparatuses include receiving a write command including user data. The write command is directed to a portion of memory including a first and second block and a first and second user data portion are directed to the first and second block. Temporary parity data is generated using the first and second user data portions. The temporary parity data and the first and second user data portions are stored in a buffer. Portions of the first and second block are programmed with two programming passes. The first and second user data portions in the buffer are invalidated in response to a completion of the second programming pass of the portions of the first and second blocks. The temporary parity data is maintained in the buffer until a second programming pass of the first and second block.

Multiple-pass programming of memory cells using temporary parity generation

A parity generation operation based on a set of multiple planes of host data is executed to generate a set of multi-page parity data. The set of multi-page parity data is stored in a cache memory of a memory device. A data recovery operation is performed based on the set of multi-page parity data.

Managing storage of multiple plane parity data in a memory sub-system

Technology is described herein for detecting a leakage current between a block select line and a conductive region that exists in multiple blocks of memory cells in a plane. The conductive region may be shared by at least one memory cell in multiple blocks. One example of the conductive region is a common source line that includes one or more local source lines and one or more global source lines. If the leakage current were to become high enough, the electrical short between the conductive region and the block select line could cause a plane level failure. If the leakage current is less than an amount that would cause a plane failure, but that indicates that the non-volatile memory device is susceptible to a plane failure, data may be moved out of the plane before the plane failure occurs. Thus, data loss may be prevented.

Leakage current detection in 3D memory

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Fremont, CA, United States of America

Lakshmi Kalpana Vakati