Assembler for different operating systems (OSes) and assembly transplantation method

Abstract

The invention discloses an assembler for different OSes and an assembly transplantation method and relates to the field of computer code transplantation. The method comprises obtaining source codes, encoding the source codes and obtaining source assembly programs; selecting target OSes and converting the source assembly programs into target assembly programs in accordance with assembly formats according to the assembly formats of the target OSes; obtaining application program binary system interface specifications of the target OSes and converting target assembly programs into novel target assembly programs in accordance with the application program binary system interface specifications; for the target OSes, packaging the novel target assembly programs to complete assembly transplantation. By means of the assembler, executable assembly programs towards different target OSes can be converted, and accordingly, code transplantation difficulties caused by different OSes are overcome.

Description

technical field [0001] The invention relates to the field of computer code transplantation, in particular to an assembler oriented to different OS and a compilation transplantation method. Background technique [0002] In recent years, the development of mobile devices has made great progress, and they have also played an increasingly important role in people's lives. Executable code has also become the goal pursued by programmers. The design and development of high-level programming languages ​​(C / C++, Java) is simple and efficient. They are very effective in solving practical problems in engineering applications, but the optimization of high-level languages ​​still remains at the top-level design, and the optimization ability has certain limitations. High-level languages ​​change faster than low-level languages, and high-level languages ​​still have compatibility issues between high-level and low-level languages. [0003] Optimizing assembly is a difficult and highly ski...

AI Technical Summary

Problems solved by technology

Developers of mobile devices often need to migrate a piece of assembler program with good performance to other operating systems for use. At this time, their needs often have two aspects: one is to be able to efficiently transplant the assembler program in the original operating system to the target operating system , that is to do as little work as possible to complete the assembly transplantation between systems; the second is the optimization inheritance from the source operating system to the target operating system, that is, the good performance of the assembler program in the source system can be reflected in the new platform , however, in the process of assembly and transplantation of the actual embedded platform, the above two requirements are difficult to be met. This is because when the assembler is transplanted from the source system to the target system, different operating systems and different compilers lead to different compilations. As a result, it takes a lot of time for developers to manually solve these problems, and it is not easy to solve these problems

[0004] For hardware devices with the same processor architecture, the assembly compiled under the source operating system often cannot be directly compiled and run on the machine of the target operating system due to the difference of the operating system and the difference of the compiler under the system, which makes the source system It is difficult for the compiled or manually optimized assembly to run on the machine of the target operating system, let alone the optimization effect. If you want to run a program with the same function, you need to refactor it according to the characteristics of the target operating system. This code has good performance, it needs to be optimized again, which seriously affects the development efficiency and cost

[0005] When programmers do some code optimization work, they need to perform performance evaluation on the program. For the same program, they often perform comparative evaluation on the same machine before and after optimization. In this way, although performance evaluation data before and after optimization can be obtained, the same piece of code , it is not possible to obtain the evaluation data compiled and run on different target operating systems, and it cannot be compared with the assembly compiled by the commercial compiler. One-step optimization work, and at the same time cannot learn from the advantages of commercial compilers

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