Task Preemption in a Deep Learning Accelerator System

    公开(公告)号:US20250045095A1

    公开(公告)日:2025-02-06

    申请号:US18364742

    申请日:2023-08-03

    Applicant: MediaTek Inc.

    Abstract: Deep learning accelerator (DLA) hardware performs task preemption. The DLA hardware executes a first task by using a neural network of multiple layers on a given input. In response to a stop command from a DLA driver to stop execution of the first task, the DLA hardware completes a current operation of the neural network and sending an interrupt request (IRQ) to the DLA driver. The DLA hardware then receives a second task from the DLA driver. The DLA hardware executes the second task to completion before resuming the execution of the first task.

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