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Neural network processing system and method based on compressed sensing

A neural network and compressed sensing technology, applied in the field of neural network processing systems based on compressed sensing, can solve problems such as memory access bottlenecks, large time and energy costs for loading and storing data, etc.

Active Publication Date: 2021-04-23
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Abstract
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  • Claims
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Problems solved by technology

[0003] Various current neural network computing devices often face the problem of memory access bottlenecks, and loading and storing data causes a lot of time and energy overhead

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  • Neural network processing system and method based on compressed sensing
  • Neural network processing system and method based on compressed sensing
  • Neural network processing system and method based on compressed sensing

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Embodiment Construction

[0050] In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0051] In order to solve the problem of memory access bottlenecks faced by various existing neural network computing devices, and reduce the time and energy overhead caused when loading and storing data, the present disclosure provides a neural network processing system and method, which uses compressed sensing to process data Compression, thereby reducing time and energy overhead.

[0052] Compressed sensing (Compressive Sensing), also known as compressed sampling, compressed sensing. As a new sampling theory, it uses random sampling to obtain discrete samples of the signal by exploiting the sparse characteristics of the signal at a rate much smaller than the Nyquist sampling rate, and then perfectly reconstructs the...

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Abstract

The present disclosure provides a neural network processing system and method based on compressed sensing, wherein the neural network processing system based on compressed sensing includes: an off-chip compression unit, configured to compress off-chip data and send it to the on-chip; and an on-chip computing device connected to the off-chip compression unit for receiving the compressed data sent to the on-chip, and performing neural network operations; wherein the compression unit compresses the off-chip data based on compressed sensing. The disclosed neural network processing system and method based on compressed sensing reduces the amount of IOs and reduces time and energy costs by performing data compression when loading and storing data.

Description

technical field [0001] The disclosure belongs to the field of computer technology, and more specifically relates to a neural network processing system and method based on compressed sensing. Background technique [0002] Artificial Neural Networks (ANNs) are referred to as Neural Networks (Nms) for short. It is an algorithmic mathematical model that imitates the behavior characteristics of animal neural networks and performs distributed parallel information processing. This kind of network depends on the complexity of the system, and achieves the purpose of processing information by adjusting the interconnection relationship between a large number of internal nodes. The concept of deep learning originated from the research of artificial neural networks. A multi-layer perceptron with multiple hidden layers is a deep learning structure. Deep learning combines low-level features to form more abstract high-level representation attribute categories or features to discover dist...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/08G06N3/063
CPCG06N3/063G06N3/082
Inventor 金禄旸张潇张磊陈云霁
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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