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Task migration method of brain-like computer operating system

An operating system and computer technology, applied in the field of task migration of brain-inspired computer operating systems, can solve problems such as local overload, resource fragmentation, chip failure, etc., and achieve the effect of improving efficiency and improving migration efficiency

Active Publication Date: 2021-12-14
ZHEJIANG UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention solves the problems of chip failure, local overload and resource fragmentation of brain-like computers through different migration strategies

Method used

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  • Task migration method of brain-like computer operating system
  • Task migration method of brain-like computer operating system
  • Task migration method of brain-like computer operating system

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Embodiment Construction

[0038] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] figure 1 Shown is the overall design diagram of the brain-inspired computer architecture of the embodiment of the present invention, and the master control node Master maintains global task information.

[0040]The main control node Master maintains the computing node sorting table according to the current load status of each computing node Slave according to the following strategy: the more idle brain-like chips on the computing node, the higher the ranking; when there are the same number of free brain-like chips, the number of idle neurons The more sorting, the higher the ranking, and the computing node sorting table is maintained in real time. Slave is a computing node that runs tasks.

[0041] Each computing node Slave maintains the brain-ins...

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Abstract

In order to solve the problems of chip fault, overweight local load and resource fragmentation of a brain-like computer, the invention provides a task migration method of a brain-like computer operating system, and tasks in operation are reasonably distributed and scheduled by performing task migration among computational nodes, in the computational nodes and in a chip.

Description

technical field [0001] The invention belongs to the technical field of brain-inspired computer operating systems, and in particular relates to a task migration method for brain-inspired computer operating systems. Background technique [0002] Traditional von Neumann architecture computers are difficult to meet the rapidly growing computing performance requirements of artificial intelligence algorithms, especially in the field of low-power high-performance computing such as edge computing. Therefore, the spiking neural network provides a feasible path for seeking more efficient computing performance and lower power consumption, but the computational cost of simulating the spiking neural network on a computer with traditional architecture is relatively high. In order to speed up the operation of the spiking neural network, through the imitation of the structure of the biological brain, a customized brain-like computing chip for the operation of the spiking neural network has ...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06N3/063
CPCG06F9/5027G06F9/505G06F9/5038G06N3/063G06F2209/5021
Inventor 吕攀黄金戈康敏李红杨国青邓水光潘纲
Owner ZHEJIANG UNIV
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