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Method for determining performance of neural network, and equipment

A neural network and performance technology, applied in the direction of biological neural network model, neural architecture, program control design, etc., can solve the problems of coarse information granularity, difficult to optimize, and locate bottlenecks, and achieve the effect of improving operating performance.

Active Publication Date: 2020-10-16
ANHUI CAMBRICON INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The disadvantage of the existing analysis methods is that the granularity of information obtained is relatively coarse, and it is impossible to locate which type of IO, which type of calculation, or which layer of which instructions are the bottleneck, and cannot locate the bottleneck very accurately, so it is difficult to fully optimization

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  • Method for determining performance of neural network, and equipment
  • Method for determining performance of neural network, and equipment
  • Method for determining performance of neural network, and equipment

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present disclosure.

[0019] It should be understood that the terms "first", "second", "third" and "fourth" in the claims, specification and drawings of the present disclosure are used to distinguish different objects, rather than to describe a specific order . The terms "comprising" and "comprises" used in the specification and claims of this disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or more other featur...

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Abstract

The invention discloses a method for determining the performance of a neural network, electronic equipment, and a computing device. The computing device may be included in a combined processing device. The combined processing device may further comprise a universal interconnect interface and other processing devices. The computing device interacts with the other processing devices to jointly complete computing operation specified by a user. The combined processing device may further comprise a storage device. The storage device is connected with the computing device and the other processing devices and used for storing data of the computing device and the other processing devices.

Description

technical field [0001] This disclosure relates to the field of computing, and more specifically, the field of designing performance tests. Background technique [0002] The operations of the neural network include various operations, such as arithmetic operations, IO operations, etc., and each operation has a corresponding running time. The running time of the neural network is mainly composed of computing time and IO time. In order to reduce the running time and better display the performance of artificial intelligence chips, it is mainly possible to superimpose computing time and IO time, use the first-level cache, multi-core concurrent tasks, etc. way to improve performance. Through this performance analysis module, you can get the IO time, weight time, calculation time, other time when the network is running, and the execution time when the calculation and IO are not superimposed or not superimposed. Through these data, we can analyze the performance bottleneck of netw...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/04G06N3/063G06F15/78G06F9/30G06F9/38
CPCG06N3/04G06N3/063G06F15/7817G06F9/30007G06F9/3867Y02D10/00
Inventor 不公告发明人
Owner ANHUI CAMBRICON INFORMATION TECH CO LTD