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Inside and outside connecting network topology framework and parallel computing system for self-consistent expanding the same

A network topology and parallel computing technology, which is applied in the direction of network interconnection, network connection, data exchange through path configuration, etc., can solve the problems of the final performance of the inline network due to communication capabilities and efficiency limitations

Inactive Publication Date: 2007-02-28
SHANGHAI REDNEURONS
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Problems solved by technology

[0003] The purpose of the present invention is to provide a kind of internal and external network topology structure and a parallel computing system that self-consistently expands the topology structure, so as to overcome the problem that the final performance of the internal network of the existing parallel computing system is limited by communication capabilities and efficiency

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  • Inside and outside connecting network topology framework and parallel computing system for self-consistent expanding the same
  • Inside and outside connecting network topology framework and parallel computing system for self-consistent expanding the same
  • Inside and outside connecting network topology framework and parallel computing system for self-consistent expanding the same

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Embodiment Construction

[0014] Below, according to Fig. 1 to Fig. 5, a preferred embodiment of the present invention is given and described in detail, so that the functions of the present invention can be better understood and its characteristics can be brought into play.

[0015] According to the different implementation modes of the switching network structure, the MPU topology structure can be divided into MPU direct network (Type I) system and MPU indirect network (Type II) system. A general K-dimensional MPU system can be written as MPU(N 1 ×N 1 ×L×N K ). With the help of the Cartesian reference coordinate system, we give the specific meaning of each coordinate point under different types of topological architectures.

[0016] In Type I MPU(N 1 ×N 1 ×L×N K ), each coordinate point (x 1 , x 2 ,...,x K ) represents a node, that is, a processing node and its local network routing unit, if its coordinates satisfy:

[0017] 0≤x i ≤2N i-1 i∈[1,K] (1)

[0018] x j m...

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Abstract

The invention relates to a network topology structure and relative high-expanding parallel calculating system. Wherein, said network topology structure, used in main processor unit (MPU) network, has several processing nodes; said topology structure is K dimensional (K belong to Z+); each node is at the center of K-dimension cubic formed by 2K nearby nodes to connect said 2K nearby nodes. With said topology structure, each processing node can directly or indirectly connect the subset of other processing nodes, to form one high-couple, self-consistent and high-expand parallel computer system. One MPU system can be one parallel computer system or an ultra node, which via external expanding network, can form a large super parallel computer system.

Description

technical field [0001] The present invention relates to an internal and external network topology structure and a parallel computing system for self-consistently extending the structure, in particular to a master processing unit (Master Processing Unit, MPU) internal and external network topology structure and self-consistent expansion of the topology structure parallel computing system. Background technique [0002] People have never stopped pursuing supercomputers with higher performance computing capabilities. Modern "supercomputing" basically refers to large-scale computing systems that can perform parallel data processing and numerical simulation. Therefore, we generally do not call a distributed computer group system with low message passing capability a supercomputer, but only call a parallel computing system with a high message passing capability between computing nodes a "supercomputer" (or "super parallel computer"). "). The hardware components of a supercomputer...

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Application Information

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IPC IPC(8): H04L12/46H04L12/66
Inventor 邓越凡张鹏
Owner SHANGHAI REDNEURONS
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