Rebellions Inc.

Hongyun Kim

Wongyu Shin

Miock Chi

Jinwook Oh

Chang-Hyo Yu

Juyeong Yoon

Jinseok Kim

Yoonho Boo

A neural processing device and a method for managing tasks thereof are provided. The neural processing device includes a neural core configured to perform a task and generate a completion signal for completion of the task, a core global configured to transfer task information for the task to the neural core and receive the completion signal of the task from the neural core, and a task manager configured to generate and transmit the task information to the core global, receive the completion signal from the core global, generate a completion report, and transmit the completion report.

Processing device and method for managing tasks thereof

Provided are a neural processor, a neural processing device, and a clock gating method thereof, which perform clock gating for a plurality of compute units based on a data flow architecture, in which the neural processor includes at least one neural core that processes at least one task, and a clock controller that selectively gates, according to a data flow architecture of the at least one task, a clock signal provided to the at least one neural core.

Neural processor, neural processing device and clock gating method thereof

A task manager, a neural processing device, and a method for checking task dependencies thereof are provided. The task manager includes a task buffer configured to receive first and second tasks of different first and second types, a first queue configured to receive a first task descriptor for the first task from the task buffer, a second queue configured to receive a second task descriptor for the second task from the task buffer, a dependency checker configured to check dependencies of the first and second task descriptors, a third queue configured to receive the first task descriptor from the dependency checker, and a fourth queue configured to receive the second task descriptor from the dependency checker.

Task manager, processing device, and method for checking task dependencies thereof

An apparatus comprising neural processors, a command processor, and a shared memory. The command processor receives a context start signal indicating a start of a context of a neural network model from a host system. The command processor determines whether neural network model data is entirely or partially updated based on the context start signal. The command processor updates the neural network model data in the shared memory based on a determination on whether neural network model data is entirely or partially updated based on the context start signal. The command processor generates a plurality of task descriptors describing neural network model tasks based on the neural network model data, and distributes the plurality of task descriptors to the neural processors.

Command processor, neural processing system and method for transmitting data thereof

A command processor determines whether a command descriptor describing a current command is in a first format or in a second format, wherein the first format includes a source memory address pointing to a memory area in a shared memory having a binary code to be accessed according to direct memory access (DMA) scheme, and the second format includes one or more object indices, a respective one of the one or more object indices indicating an object in an object database. If the command descriptor describing the current command is in the second format, the command processor converts a format of the command descriptor to the first format, generates one or more task descriptors describing neural network model tasks based on the command descriptor in the first format, and distributes the one or more task descriptors to the one or more neural processors.

Command processor, neural core SOC and method for obtaining context data using the same

An apparatus comprising neural processors, a command processor, and a shared memory is provided. The command processor, in response to receiving a context start signal indicating a start of a context of a neural network model from a host system, directly accesses a memory in the host system to read command stream data for the neural network model. The command processor selects a current command and determines whether the current command is a branch command or a command describing neural network model tasks. The command processor selects a command among commands in the command stream data as a next command to be executed, based on a determination on whether the current command is the branch command or the command describing neural network model tasks.

Growing community of inventors

Seongnam-si, South Korea

Hongyun Kim