Innogrit Assigned Five Patents

Error recovery using adaptive LLR Lookup Table
Innogrit Technologies Co., Ltd., Shanghai, China, has been assigned a patent (12009841) developed by Zhang; Han, Xiong; Chenrong, San Jose, CA, and Chen; Jie, Milpitas, CA, for an “error recovery using adaptive LLR Lookup Table.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Systems and methods are provided for performing error recovery using LLRs generated from multi-read operations. A method may comprise selecting a set of decoding factors for a multi-read operation to read a non-volatile storage device multiple times. The set of decoding factors may include an aggregation mode for aggregating read results of multiple reads. The method may further comprise issuing a command to the non-volatile storage device to read user data according to the set of decoding factors, generating a plurality of Log-Likelihood Ratio (LLR) values using a mapping engine from a pre-selected set of LLR value magnitudes based on the set of decoding factors, obtaining an aggregated read result in accordance with the aggregation mode and obtaining an LLR value from the plurality of LLR values using the aggregated read result as an index.”

The patent application was filed on 2022-11-12 (17/985829).

Valid data retrieval for garbage collection
Innogrit Technologies Co., Ltd., Shanghai, China, has been assigned a patent (11994986) developed by Fu; Bo, Cupertino, CA, and Chen; Jie, Milpitas, CA, for a “valid data retrieval for garbage collection.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Systems and methods are provided for data retrieval in garbage collection (GC) processes. A method may include sending a command with bitmaps from a processor to a non-volatile storage device interface controller to perform a read operation on multiple blocks across multiple planes. The bitmaps may indicate positions of valid data units in respective pages within the blocks. The method may further include issuing an initial batch of multi-plane read commands to read a page of data from each of the plurality of planes into cache registers, obtaining specified column addresses to selectively identify valid data units for transferring based on the bitmaps and a data unit size, issuing subsequent batches of multi-plane cache read commands followed by data transfer commands, and issuing a cache read end command followed by a last set of data transfer commands. The data transfer commands may include the specified column addresses.”

The patent application was filed on 2022-09-14 (17/944443).

Power management in solid state storage
Innogrit Technologies Co., Ltd., Shanghai, China, has been assigned a patent (11989426) developed by Zhao; Gang, Chandler, AZ, Lu; Ming, Sunnyvale, CA, and Chen; Lin, Cupertino, CA, for “system and method for power management in solid state storage systems.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Systems, apparatus and methods are provided for power management of non-volatile storage (NVM) systems. A non-volatile storage system may include a first interface to be coupled to a host, a NVM device, a storage controller including a command queue and a processor, and a second interface coupling the storage controller and the NVM device. The processor may be configured to handle data transfer requests from the host in an active power state, monitor the command queue and a data transfer rate on the first interface, determine that the data transfer rate falls below a predetermined threshold and the command queue is empty, enter a pseudo-idle power state, determine that there is a new command from the host, and exit the pseudo-idle power state and enter the active power state.”

The patent application was filed on 2022-04-27 (17/730572).

Soft decoding correctable page assisted LLR estimation
Innogrit Technologies Co., Ltd., Shanghai, China, has been assigned a patent (11973516) developed by Xiong; Chenrong, San Jose, CA, and Chen; Jie, Shanghai, China, for a “soft decoding correctable page assisted LLR estimation.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “Systems and methods are provided for estimating LLR values used for soft decoding of data stored in non-volatile storage devices. A method may include reading data stored in a non-volatile storage device using a group of soft read reference voltages, decoding the data read from the non-volatile storage device in a soft decoding process, obtaining a number of ones and a number of zeros for each zone of a plurality of zones delineated by the group of soft read reference voltages and obtaining a log-likelihood ratios (LLR) for each zone of the plurality of zones based on a ratio of the number of ones to the number of zeros in each zone.”

The patent application was filed on 2022-07-06 (17/858408).

Storage device and system
Innogrit Technologies Co., Ltd., Shanghai, China, has been assigned a patent (11966585) developed by Li; Tianren, and Hu; Gang, Shanghai, China, for “storage device and storage system.“

The abstract of the patent published by the U.S. Patent and Trademark Office states: “The present disclosure relates to a storage device and a storage system. The device comprises a storage, a storage controller, a control module, and a buffer module. The control module is configured to: when receiving a data read-write instruction, update the data read-write instruction by using a virtual address; apply for K buffer units in the buffer module; perform a write operation on the K buffer units by using data to be read and written; and when any of the K buffer units is full, directly start data transmission of the full buffer unit. By using the virtual storage address and by employing data block management, the present disclosure can update and forward an NVMe I/O command without applying for a storage space in advance, and can start data block transmission without checking the completion message.”

The patent application was filed on 2022-10-28 (17/975816).