Universal multi-core brain-like processor, accelerator card and computer equipment

A processor and multi-core technology, applied in computers, digital computer components, computing, etc., can solve problems such as reducing data reuse, and achieve the effect of reducing hardware complexity, achieving configurability, and high energy efficiency.

Pending Publication Date: 2022-05-31
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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Method used

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  • Universal multi-core brain-like processor, accelerator card and computer equipment
  • Universal multi-core brain-like processor, accelerator card and computer equipment
  • Universal multi-core brain-like processor, accelerator card and computer equipment

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Experimental program
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Embodiment Construction

[0035] Table 1: Address space distribution of different levels of brain-like processors.

[0036]

[0037] The on-chip interconnect communication design of the brain-like processor is the C-Mesh NoC architecture. It contains a two-level structure, i.e. responsible for

[0049] The synaptic connection of the storage module and its weight memory include three parts, and 1024 neurons 1024 in the storage core.

[0050] As shown in FIG. 11, the structure of the weighted SRAM in the core is connected. Internal weights in a neuron core connect SRAM points

[0051] Shown in the left panel of Figure 10 is a CAM that stores synaptic connections between nuclei. CAM is used to store the number of the source neuron

[0052] As shown in the right figure of FIG. 10 is the structure of the inter-core connection weight SRAM. Inter-core connection weights Inter-core connection weights of SRAM

[0054] The address space allocation stored in the neuron core is shown in Figure 11. A neuron nucleus...

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Abstract

The invention discloses a universal multi-core brain-like processor, an accelerator card and computer equipment, the universal multi-core brain-like processor comprises a data exchange interface module and a brain-like processing unit which are connected with each other, and the brain-like processing unit comprises an on-chip network which is composed of n * n routers R and is of a C-Mesh structure, each router R is independently connected with at least one neuron nucleus used for completing neuron calculation to form a cluster, and each neuron nucleus is provided with a plurality of neuron calculation units, intra-nucleus full-connection synapses and inter-nucleus connection synapses. According to the method, simultaneous calculation and interconnection of multiple physical neurons can be supported, the future intelligent calculation development requirement can be met, a brain-like algorithm represented by a spiking neural network is executed, large-scale neuron activities are simulated, the method adapts to a continuously-developing neuromorphic calculation model, and high-energy-efficiency support and acceleration are provided for the calculation.

Description

A universal multi-core brain-like processor, accelerator card and computer equipment technical field The present invention relates to brain-like processor, be specifically related to a kind of general multi-core brain-like processor, accelerator card and computer equipment. ready. Background technique [0002] With the continuous development of brain-inspired computing, many energy-efficient and versatile brain-inspired processors have emerged. The TrueNorth brain-like processor of IBM Corporation of the United States, the Loihi brain-like processor of Intel Corporation of the United States and the Swiss Su The DYNAPs brain-like processor of the University of Richmond is the main representative. The TrueNorth brain-like processor has 4096 neuron cores, each The core consists of 256 "integrated-discharge" logical neurons implemented using a physical neuron time division multiplexing, 4096 neuron The warp nuclei are connected together by a 2D-Mesh on-chip network. Lo...

Claims

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Application Information

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IPC IPC(8): G06F15/163G06F15/173G06N3/06
CPCG06F15/17312G06F15/163G06N3/061Y02D10/00
Inventor 王蕾杨智杰王耀石伟彭凌辉康子扬陈小帆徐炜遐
Owner NAT UNIV OF DEFENSE TECH
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