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US 2026/0010783 A1Published application
Neural network execution streams
AssigneeNVIDIA Corporation
InventorsBin Fan, Yuan Lin
Life of this patent
Estimating the term…
Abstract
Apparatuses, systems, and techniques to perform a neural network. In at least one embodiment, an application programming interface schedules two or more graph nodes to be performed by two or more parallel processing pipelines based, at least in part, on an order of layers in the neural network.
Claims20
A machine-readable medium having stored thereon an application programming interface (API), which if performed by one or more processors, cause the one or more processors to at least:
- schedule two or more graph nodes to be performed by two or more parallel processing pipelines of the one or more processors based, at least in part, on an order of two or more layers of a neural network to be performed by the one or more processors.
A processor, comprising:
- one or more arithmetic logic units (ALUs) to be configured to schedule two or more graph nodes to be performed by two or more parallel processing pipelines based, at least in part, on an order of two or more layers of a neural network.
A system, comprising:
- one or more processors to be configured to at least schedule two or more graph nodes to be performed by two or more parallel processing pipelines of the one or more processors based, at least in part, on an order of two or more layers of a neural network to be performed by the one or more processors.
Dependencies are inferred from the claim text.