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Multi-target-oriented fine-grained compilation self-tuning method

A fine-grained, multi-objective technology, applied in the field of compilation and optimization, which can solve problems such as difficulty in meeting high-performance user requirements, large compilation and optimization combination solution space, and difficulty in fine-grained tuning.

Active Publication Date: 2021-03-19
JIANGNAN INST OF COMPUTING TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, the solution space of compilation and optimization combinations is huge, making it difficult to perform fine-grained tuning for specific applications; on the other hand, the traditional compilation and optimization levels are too coarse to meet the needs of high-performance users

Method used

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  • Multi-target-oriented fine-grained compilation self-tuning method

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Embodiment

[0031] Embodiment: a fine-grained compiling self-tuning method oriented to multi-objectives, comprising the following steps:

[0032] S1. According to the tuning requirement q, determine the goal of compilation optimization, as follows:

[0033] S11. The user specifies the tuning code p and tuning requirement q;

[0034] S12. According to the tuning requirement q, in the configuration file of the performance analysis tool, search the corresponding relationship table between the tuning requirement q and the performance counter through a script, determine the goal of compilation optimization, and set the feedback parameters of self-tuning;

[0035] S2. Identify the core segment of the code, that is, identify the core segment function with a long execution time, as follows:

[0036] S21. Call the performance analysis tool configured in the software stack of the target system to analyze the dynamic characteristics of the tuning code p, and obtain the calling relationship of the f...

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Abstract

The invention discloses a multi-target-oriented fine-grained compilation self-tuning method, which comprises the following steps: S1, determining a compilation optimization target according to a userdemand; s2, performing code core segment identification, namely splitting the execution time of the program, sorting core segment functions in the program according to the execution time of the program, and selecting a plurality of core segment functions with the longest execution time of the program according to a set threshold n; s3, performing instrumentation on the code, and selecting a corresponding instrumentation interface for quantitatively evaluating a compiling optimization effect according to a compiling optimization target; s4, modifying the configuration file, and starting a self-tuning operation; and S5, performing clustering analysis on the historical information of the tuning result, and modifying a heuristic strategy of an iterative process. According to the invention, theperformance potential of compiling optimization options can be mined, the user friendliness of a compiler is improved, and a learning curve of a user for application tuning is shortened.

Description

technical field [0001] The invention relates to a multi-objective fine-grained compilation self-tuning method, which belongs to the technical field of compilation optimization. Background technique [0002] In order to give full play to the performance advantages of the computer system, users often need to tune the application program for the target architecture. Mainstream compilers provide a variety of optimization techniques to compile and optimize the code to achieve the purpose of improving code execution performance, reducing the size of target code, and reducing code execution power consumption. However, there are a large number of mainstream compilation and optimization passes, and different optimization passes have different effects on different code structures, and there are interactions between optimization passes. How to select compilation optimization options for the target program has also become an optimization problem. [0003] There are hundreds of compilat...

Claims

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Application Information

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IPC IPC(8): G06F8/41
CPCG06F8/443G06F8/445Y02D10/00
Inventor 朱琪吴伟王飞钱宏周文浩杨涛
Owner JIANGNAN INST OF COMPUTING TECH
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