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Integrated circuit device, electronic apparatus, board card, and calculation method

A technology of integrated circuits and computing units, applied in the field of data processing, can solve problems such as reduced parallel computing efficiency, limited bandwidth, and I/O bottlenecks, and achieve the effect of reducing data throughput and overcoming bandwidth bottlenecks

Pending Publication Date: 2021-12-03
CAMBRICON TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, even if parallel computing is used, since the processor is limited by the capacity of internal register resources, the huge amount of data calculation may cause a large amount of data interaction between the processor and the external storage device, thereby reducing the calculation and processing of the device. efficiency
Due to the limited bandwidth of the input / output ("I / O") bus, severe I / O bottlenecks can occur, thus greatly reducing the efficiency of parallel computing
In addition, not only the bandwidth limitation of the I / O bus will become a performance bottleneck, but also a large amount of I / O memory access between the processor and the external storage device will also cause a large calculation and power consumption overhead

Method used

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  • Integrated circuit device, electronic apparatus, board card, and calculation method
  • Integrated circuit device, electronic apparatus, board card, and calculation method
  • Integrated circuit device, electronic apparatus, board card, and calculation method

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Apparently, 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 solutions disclosed in the present disclosure.

[0031] Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0032] figure 1 is a schematic structural diagram showing a board 10 according to an embodiment of the present disclosure. understandably figure 1 The illustrated structures and compositions are merely examples, and are not intended to limit the aspects of the present disclosure in any way.

[0033...

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Abstract

The invention relates to an integrated circuit device, electronic equipment, a board card and a method for performing calculation by using the integrated circuit device. The integrated circuit device may be included in a computing device of a combined processing device, which may include one or more integrated circuit devices. The combined processing device can also comprise an interface device and a processing device. And the computing device interacts with the processing device to jointly complete the computing operation specified by the user. The combined processing device can further comprise a storage device, and the storage device is connected with the computing device and the processing device and used for storing data of the computing device and the processing device. According to the scheme provided by the invention, the data transmission quantity between the internal equipment and the external storage device can be reduced, so that the I / O bottleneck problem caused by bandwidth limitation is reduced to the greatest extent, and the overall performance of the integrated circuit device can be improved.

Description

technical field [0001] The present disclosure relates generally to the field of data processing. More specifically, the present disclosure relates to an integrated circuit device, an electronic device, a board, and a computing method. Background technique [0002] With the development of the field of artificial intelligence, the amount of computational data involved in large-scale neural networks is increasing, and the requirements for storage capacity are getting higher and higher, such as convolution weight gradients in backpropagation and other operations. In existing computing methods, processors such as a central processing unit (“CPU”) or a graphics processing unit (“GPU”) are usually used for computing. However, even if parallel computing is used, since the processor is limited by the capacity of internal register resources, the huge amount of data calculation may cause a large amount of data interaction between the processor and the external storage device, thereby ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F13/16G06F13/20
CPCG06F13/1678G06F13/20
Inventor 不公告发明人
Owner CAMBRICON TECH CO LTD