Code Cache management method based on static partitioning

Abstract

The invention relates to a dynamic binary system translation technology in the computer application field, and discloses a code Cache management method based on static partitioning. The method comprises the steps of adding execution_times representing the basic block executing times and generated_size representing the size of a target system code block into TB information, adding variables L1_base and L1_ptr, adding variables L2_head and L2_rear, and adding a TB backup array. The method has the advantages that the Cache management is flexible, the management spending is low, and the miss rate of the cached code block in the Cache is reduced through considering execution characteristics of a program.

Description

technical field [0001] The invention relates to a dynamic binary translation technology in the field of computer applications, in particular to a code Cache management method based on static division. Background technique [0002] Dynamic binary translation technology is an effective means to solve legacy code and improve software platform adaptability. It dynamically converts binary programs on the source architecture to run on other target architectures without the need for executable program source code. Dynamic binary translation basically works like this: translate the source architecture binary code in units of basic blocks, generate corresponding code blocks supported by the target architecture through translation, and cache them in the code cache, so that when the program runs to this basic block again When the block is executed, the corresponding target architecture code is directly obtained from the code cache and executed, thereby improving the execution speed of...

AI Technical Summary

Problems solved by technology

While using the code cache to speed up translation efficiency, it is necessary to effectively manage the translated code blocks, which not only saves local memory space, but also does not cause frequent replacement operations due to insufficient space in the code cache, resulting in performance degradation

[0003] Code Cache management strategies play an important role in improving translation efficiency in dynamic binary translation. It needs to comprehensively consider issues such as management overhead, code locality, and code fragmentation. However, existing code Cache management strategies still have various deficiencies, especially The management overhead is high. From the perspective of program execution locality, the missing rate of code blocks in the Cache is still high. Therefore, it is urgent to propose a more effective code Cache management strategy.

Images