Software-defined variable-structure computing architecture and left and right brain integrated resource joint allocation method implemented by using same

Abstract

The invention belongs to the technical field of signal processing and deep learning, and particularly relates to a software-defined variable structure computing architecture and a left and right brain integrated resource joint allocation method implemented by using the same. Comprising the steps of establishing left and right brain integrated software-defined variable structure calculation capable of meeting traditional signal processing and deep learning full-process calculation requirements on the basis of a mimicry calculation thought; and realizing high-precision signal processing of the left brain and low-precision deep learning of the right brain. The invention comprises establishing a heterogeneous component computing resource pool of mixed granularity, a distributed hierarchical storage structure and a software-defined interconnection structure on the basis of a mimicry computing thought, and realizing a software-defined flexible structure left and right brain calculation method according to task calculation requirements and load changes. On one hand, efficient connection and integrated implementation of traditional signal processing and deep learning are achieved; on the other hand, the high-performance, high-efficiency and high-flexibility implementation problems of traditional signal processing and deep learning are solved through software-defined variable structure calculation. Good application prospects are realized.

Description

technical field [0001] The invention belongs to the technical field of signal processing and deep learning, and in particular relates to a software-defined variable-structure computing architecture and a method for joint allocation of left and right brain integrated resources realized by using the same. Background technique [0002] In the 1960s, American psychobiologist Dr. Sperry put forward the theory of the division of labor between the left and right brains through the research of the split-brain experiment, that is, the left brain is mainly responsible for logical thinking, and the right brain is mainly responsible for image thinking. Although follow-up studies have proved that this theory is unbiased, at a time when scientific computing represented by high-precision information processing is still important and artificial intelligence represented by low-precision deep learning is developing rapidly, the division of labor between left-brain logical thinking and right-br...

AI Technical Summary

Problems solved by technology

If these two types of discrete computing modules are simply superimposed to form a computing system, it will not only lead to a substantial increase in power consumption, but also the communication between modules will often bring the performance bottleneck of the computing system

Furthermore, the above-mentioned types of computing chips have their own advantages and disadvantages in terms of computing performance, computing efficiency, and computing flexibility, and it is difficult to meet the high-performance, high-efficiency, and high-flexibility computing requirements under diverse application conditions.

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