Matrix processor as well as instruction set and embedded system thereof

Abstract

The invention provides a matrix processor as well as an instruction set and an embedded system thereof. The matrix processor comprises an external data interface, an IRAM (intelligent random access memory), a DRAM (dynamic random access memory) and a matrix processor core, wherein the external data interface is connected with the IRAM and the DRAM of the matrix processor as well as an external memory so as to write an instruction of the matrix processor and perform data exchange with the outside; the IRAM and the DRAM are equivalent to buffers of the matrix processor; the IRAM receives an instruction sequence written by an external module; the DRAM receives a matrix or other data written by the external module as well as computing results written by the matrix processor core so that the matrix or data and the computing results are used by the matrix processor or are read by the external module so as to complete data exchange between the matrix processor and the external module; and the matrix processor core is used for fetching the instruction, decoding, computing, and writing back and controlling the computing results. The matrix processor provided by the invention can independently complete various matrix operations and other mathematical operations.

Description

【Technical field】 [0001] The invention relates to the technical field of processors, in particular to a matrix processor, its instruction set and an embedded system. 【Background technique】 [0002] Matrix operations are fundamental problems in scientific and engineering computing. It is not only a subject of mathematics, but also an important mathematical tool for many science and engineering subjects. Matrix operations are irreplaceable mathematical tools in many disciplines such as physics, mechanics, computer science, and aerospace. In particular, in computer science and technology, matrix operations are used in many fields, such as digital image processing, computer graphics, pattern recognition, machine vision, artificial intelligence, scientific computing, and general algorithm design and analysis. [0003] Traditional matrix operations are mostly realized by serial computing of processors, which severely restricts the improvement of computing speed. The use of hard...

AI Technical Summary

Problems solved by technology

Using hardware to implement matrix operations can improve the calculation speed, but the hardware implementation of existing matrix operations is mostly a dedicated hardware structure designed for a specific matrix operation, such as matrix inversion, matrix multiplication, etc., which requires large hardware resources and poor flexibility.

In particular, the current complete algorithms involving matrix operations include various matrix operations and other non-matrix operations. At this time, when the hardware circuit for specific matrix operations is added to the computing system, it requires a long interaction with other parts of the system. and waiting time, in this way, the efficiency improved by adding dedicated matrix operation hardware modules is very limited

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