Processor simulation method based on FPGA

Abstract

The invention discloses a processor simulation method based on an FPGA. The method comprises the following steps that firstly, a processor is decomposed into processor modules; secondly, a processor configuration file is set; thirdly, the processor modules comprehensively check and establish a loading file capable of running on the FPGA; fourthly, the loading file is programmed to the FPGA. According to the method, the FPGA serves as a basic hardware platform, the processor is decomposed into different modules, all the modules of the processor are connected together through the configuration file, and the loading file is programmed to the FPGA. By means of the method, FPGA-based processor simulation is achieved; the characteristic that the FPGA can be reconfigured is fully utilized, the simulation efficiency of the processor and the simulation performance of the processor are improved, and the flexibility is higher.

Description

technical field [0001] The invention relates to the technical field of processors, in particular to an FPGA-based processor simulation method. Background technique [0002] Since the beginning of the 21st century, the advancement of semiconductor technology and the demand for high-performance computing have promoted the rapid development of computer systems, and the architecture of processors has undergone tremendous changes. As the core component of the computer, the performance improvement of the processor is largely due to the progress of the semiconductor process and the development of the system structure. The progress of the semiconductor process and the development of the system structure have always been in a relationship of mutual promotion, the former is the basis of the latter, and the latter promotes the former. Every change in the development of the architecture is accompanied by a breakthrough in the number of integrated transistors on the chip, which can be s...

AI Technical Summary

Problems solved by technology

Considering these two aspects, with performance as the abscissa and flexibility as the ordinate, the characteristics of common computing forms are as follows: general-purpose computing based on general-purpose processors has the highest flexibility, but the concurrency that can be developed and utilized is limited. The performance is relatively the lowest; while the application-customized computing is customized and optimized for specific applications, and the performance is relatively high. However, it is precisely because it is only customized for specific applications that it has the worst flexibility.

The two extremes are hundreds of times less efficient in terms of performance and energy consumption

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