Fixed-point multiplication and addition operation unit and method suitable for mixed precision neural network

A neural network and addition operation technology, applied in the field of fixed-point multiplication and addition operation units, can solve the problems of redundant idle resources and large hardware overhead

Active Publication Date: 2021-06-22
SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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[0004] The technical problem to be solved by the present invention is to provide a fixed-point multiplication and addition operation unit and method suitable for mixed-precision neural networks in view of the above-mentioned de...

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  • Fixed-point multiplication and addition operation unit and method suitable for mixed precision neural network
  • Fixed-point multiplication and addition operation unit and method suitable for mixed precision neural network

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[0066] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0067] It should be noted that if there is a directional indication (such as up, down, left, right, front, back...) in the embodiment of the present invention, the directional indication is only used to explain the position in a certain posture (as shown in the accompanying drawing). If the specific posture changes, the directional indication will also change accordingly.

[0068] At present, artificial intelligence algorithms are widely used in many commercial fields. In order to improve the performance of network computing, the quantization of different layers of the network is one of ...

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Abstract

The invention discloses a fixed-point multiply-add operation unit and method suitable for a mixed precision neural network, and the method comprises the steps: inputting different input data precisions into a multiplier from different positions, controlling the multiplier to shield a partial product of a designated region according to a mode signal, and then outputting a partial product generation part, and carrying out summation operation on the output partial product generation part according to methods corresponding to different precisions, so as to achieve point multiplication operation of mixed precisions. According to the invention, the point multiplication operation of the mixed precision neural network can be realized by adopting one multiplier, and the problems of overlarge hardware overhead, redundant idle resources and the like caused by the need of adopting various processing units with different precisions to process the mixed precision operation in the prior art are solved.

Description

technical field [0001] The invention relates to the field of digital circuits, in particular to a fixed-point multiplication and addition operation unit and method suitable for mixed-precision neural networks. Background technique [0002] At present, artificial intelligence algorithms are widely used in many commercial fields. In order to improve the performance of network computing, the quantization of different layers of the network is one of the important methods to improve the efficiency of network computing. As the calculation carrier for algorithm implementation, artificial intelligence chips have an increasing demand for mixed-precision calculations in the process of data processing in order to meet the characteristics of network design. Conventional processors use a variety of different precision processing units to process mixed precision operations. This method causes excessive hardware overhead, redundant idle resources, and excessive delays when switching betwee...

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Application Information

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IPC IPC(8): G06F7/57G06N3/02
CPCG06F7/57G06N3/02Y02D10/00
Inventor 王祥龙王宇航周俊卓石港李凯毛伟安丰伟余浩
Owner SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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