Samsung Electronics Co., Ltd.

Yangwook Kang

Yang Seok Ki

Changho Choi

Rekha Pitchumani

Jason Martineau

Dongchul Park

Omkar Desai

Woongjin Chun

Pratik Mishra

A Solid State Drive (SSD) is disclosed. The SSD may include ports to receive requests from a host and to send requests to a second storage device. The SSD may include flash storage for data. An SSD controller may process the requests received from the host and generate the requests sent to the second storage device. The SSD may act as a cache for the second storage device.

Network storage gateway

A computing system includes: a storage device, coupled to central processing unit, includes: an in-storage processing engine configured to receive and manage application data from an application executed in a host computer, an in-storage processing coordinator, in the in-storage processing engine, configured to perform in-storage processing with formatted data, based on the application data, includes performing integer math operations, floating point math operations, Boolean operations, reorganization of data bits or symbols, and combinations thereof on the application data, and a data preprocessor, in the in-storage processing coordinator, configured to align the formatted data from the application data to return an in-storage processing output to the application for continued execution.

Computing system with distributed compute-enabled storage group and method of operation thereof

Provided is a method for data storage, the method including receiving, by a first storage device, information from a first group of resources for performing a first function on the first storage device using a first implementation, based on the first storage device including the first implementation and being associated with a second group of resources corresponding to the first group of resources.

Polymorphic computing architecture for computational storage

Systems and methods for memory management are described. An example method can include: performing a first determination that may include: comparing a first parameter associated with a storage device to a second parameter associated with an application. In addition, the method may include performing a second determination based on the first determination, where the second determination may include: inserting data into a storage partition of the storage device; and determining to store a minimum processing unit associated with the data in the storage device.

Systems and methods for checking data alignment between applications, file systems, and computational storage devices

A system and method for two-level indexing for key-value persistent storage. The method may include: sorting two or more key-value pairs to form a sorted key-value pair set; determining an address of a first key-value pair of the key-value pairs, the first key-value pair including a first key and a first value; determining an address of a second key-value pair of the key-value pairs, the second key-value pair including a second key and a second value; and training a first linear regression model to generate a first line corresponding to the key-value pairs, the training including training the first linear regression model with key-value pairs including the first key-value pair and the second key-value pair.

Two-level indexing for key-value persistent storage device

A storage device includes: protected memory including one or more log pages; non-volatile memory; and a storage controller. The storage controller includes: a command fetcher to receive a data request command associated with data including first metadata and second metadata, and execute the data request command in the non-volatile memory; a logger to identify the second metadata, and log the second metadata in the one or more log pages; and a log page fetcher/eraser to retrieve the second metadata from the one or more log pages in response to a separate command.

Storage device, system, and method for customizable metadata

Disclosed are systems and methods by which a storage device may process and return I/O commands to a host in the order in which the host provided the commands, thereby reducing host overhead, including but not limited to the following: receiving a first I/O command and a second I/O command, the first I/O command and the second I/O command being assigned a sequence tag, issuing the first I/O command and the second I/O command to one or more storage channels based on their respective sequence tags, collecting a command completion notice of the first I/O command or the second I/O command when the first I/O command or the second I/O command has been respectively completed; and issuing a command completion notification to a host based on the sequence tag of the associated completed first I/O command or the second I/O command.

Write ordering in SSDs

A storage device is disclosed. The storage device may include compute engines. The compute engines may include storage for data, a storage processing unit to manage writing data to the storage and reading data from the storage, a data processing unit to perform some functions on the data, and an accelerator to perform other functions on the data. An Ethernet component may receive a request at the storage device from a host over a network. A data processing coordinator may process the request using a compute engine.

Pipelined data processing in fabric-enabled computational storage

A method for managing compute and I/O tasks in a data processing system includes: providing a thread pool including a plurality of thread groups, each thread group including one or more threads; providing a CPU pool including a plurality of CPU groups, each CPU group including one or more CPU cores; receiving a plurality of tasks comprising I/O tasks and compute tasks; mapping each of the plurality of tasks to at least one thread group in the thread pool; and mapping each of the plurality of thread groups in the thread pool to at least one CPU group in the CPU pool. The mappings between the plurality of tasks and the plurality of thread groups and between the plurality of thread groups and the plurality of CPU groups dynamically change based on performance variables.

Growing community of inventors

San Jose, CA, United States of America

Yangwook Kang