Computing methods, systems and related products

A technology for an instruction processing system and operating equipment, applied in the field of information processing, can solve problems such as low processing efficiency, large power consumption, and increased model scale, and achieve the effects of low error probability, low material cost, and high processing efficiency.

Active Publication Date: 2021-01-08
CAMBRICON TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the increasing complexity of neural network algorithms, the size of its model continues to increase
A large-scale neural network model based on a Graphics Processing Unit (GPU for short) and a Central Processing Unit (CPU for short) takes a lot of computing time and consumes a lot of power.
In related technologies, the way of accelerating the processing speed of neural network models has problems such as inability to cross-platform processing, low processing efficiency, high development cost, and error-prone.

Method used

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  • Computing methods, systems and related products
  • Computing methods, systems and related products
  • Computing methods, systems and related products

Examples

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Embodiment Construction

[0036] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0037] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0038] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific implementation manners. It will be understood by those skilled in the art that the present disclosure may be practiced without some of the specific details. In some instances, methods, means, componen...

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Abstract

The invention relates to an operation method and system and a related product. The system comprises an instruction generation device and an operation device. The instruction generation device comprises: a device determination module, which is used for determining an operation device for executing a macro instruction according to the received macro instruction; and an instruction generation modulewhich is used for generating an operation instruction according to a macro instruction and the operation device. The operation device comprises a control module used for obtaining required data, a neural network model and an operation instruction, and analyzing the operation instruction to obtain a plurality of analysis instructions; and an execution module which is used for executing the plurality of analysis instructions according to the data to obtain an execution result. The operation method, the operation system and the related product provided by the embodiment of the invention can be used in a cross-platform manner, are good in applicability, are high in instruction conversion speed, are high in processing efficiency, are low in error probability, and are low in cost of developed manpower and material resources.

Description

technical field [0001] The present disclosure relates to the technical field of information processing, in particular to a neural network instruction processing method, system and related products. Background technique [0002] With the continuous development of technology, the use of neural network algorithms is becoming more and more extensive. It has been well applied in image recognition, speech recognition, natural language processing and other fields. However, due to the increasing complexity of neural network algorithms, the size of its model continues to increase. A large-scale neural network model based on a Graphics Processing Unit (GPU for short) and a Central Processing Unit (CPU for short) takes a lot of computing time and consumes a lot of power. In related technologies, the way of speeding up the processing speed of the neural network model has problems such as incapability of cross-platform processing, low processing efficiency, high development cost, and e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08G06N3/063
CPCG06N3/063G06N3/08
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD
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