公开(公告)号：US20220383082A1

公开(公告)日：2022-12-01

申请号：US17622702

申请日：2020-09-22

Applicant: Anhui Cambricon Information Technology Co., Ltd.

Inventor： Xiao ZHANG ,  Yusong ZHOU ,  Xiaofu MENG

IPC: G06N3/063

Abstract: Embodiments of the present disclosure provide a method for neural network processing, a neural network processing apparatus, a computer device and a storage medium. By splitting an operator into a plurality of operators with smaller scales, a calculation library under a single-core structure may be directly invoked by a multi-core processor, which makes full use of hardware resources of the multi-core processor.

公开(公告)号：US20220391665A1

公开(公告)日：2022-12-08

申请号：US17622706

申请日：2020-09-22

Applicant: Anhui Cambricon Information Technology Co., Ltd.

Inventor： Xiao ZHANG ,  Yusong ZHOU ,  Xiaofu MENG

IPC: G06N3/04

Abstract: Embodiments of the present disclosure provide a method for splitting a neural network model to be processed by a multi-core processor and related products. When a splittable operator is present in the neural network model, the operator is split, and an optimal splitting combination is selected to obtain an optimal splitting result of an entire neural network model, and then sub-operators corresponding to the optimal splitting result are executed through multiple cores in parallel. Thereby, a purpose of reducing resource consumption of a computer device is achieved.

公开(公告)号：US20220391678A1

公开(公告)日：2022-12-08

申请号：US17622709

申请日：2020-09-22

Applicant: Anhui Cambricon Information Technology Co., Ltd.

Inventor： Xiao ZHANG ,  Yusong ZHOU ,  Xiaofu MENG

IPC: G06N3/063 ,  G06N3/04

Abstract: Embodiments of the present disclosure provide a neural network processing method, a neural network processing apparatus, a computer device, and a storage medium. By splitting one operator into a plurality of sub-operators with smaller scales, a calculation library under a single-core structure may be invoked directly, which may make full use of hardware resources of a multi-core processor, thereby avoiding extra workloads brought by reimplementation.

公开(公告)号：US20220121903A1

公开(公告)日：2022-04-21

申请号：US17563034

申请日：2021-12-27

Applicant: Anhui Cambricon Information Technology Co., Ltd.

Inventor： Xiao ZHANG ,  Yusong ZHOU ,  Xiaofu MENG

IPC: G06N3/04 ,  G06N3/063 ,  G06F15/80

Abstract: Embodiments of the present application disclose a method of performing splitting in a neural network model by means of a multi-core processor, and related products. The method includes when a splittable operator is present in the neural network model, splitting the operator, and selecting an optimal splitting combination to obtain an optimal splitting result of the entire neural network model, and then executing the sub-operators corresponding to the optimal splitting result through multi-core parallel processing. The disclosed method thus achieves the purpose of reducing resource consumption of a computer device.