自动向量化：近期进展与展望

冯竞舸; 贺也平; 陶秋铭

doi:10.11959/j.issn.1000-436x.2022051

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自动向量化：近期进展与展望

综述 | 更新时间：2024-06-05

- 自动向量化：近期进展与展望
- Auto-vectorization: recent development and prospect
- 通信学报 2022年43卷第3期页码：180-195
- 作者机构：
  
  1. 中国科学院软件研究所基础软件国家工程研究中心，北京 100190
  2. 中国科学院大学研究生院，北京 100049
  3. 中国科学院软件研究所计算机科学国家重点实验室，北京 100090
- 作者简介：
  
  [ "冯竞舸（1988- ）男，满族，河北临城人，中国科学院大学博士生，主要研究方向为编译技术及性能优化技术" ]
  [ "贺也平（1962- ），男，甘肃兰州人，博士，中国科学院软件研究所研究员、博士生导师，主要研究方向为基础软件、系统安全" ]
  [ "陶秋铭（1979- ），男，江苏南通人，博士，中国科学院软件研究所副研究员、硕士生导师，主要研究方向为操作系统、编译技术、软件工程" ]
- 基金信息：
  
  中国科学院战略性先导科技专项基金资助项目(XDA-Y01-01);中国科学院战略性先导科技专项基金资助项目(XDC02010600)
- DOI：10.11959/j.issn.1000-436x.2022051
  中图分类号： TP312
- 网络出版日期：2022-03，
  
  纸质出版日期：2022-03-25
- 稿件说明：
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冯竞舸, 贺也平, 陶秋铭. 自动向量化：近期进展与展望[J]. 通信学报, 2022,43(3):180-195.

Jingge FENG, Yeping HE, Qiuming TAO. Auto-vectorization: recent development and prospect[J]. Journal on communications, 2022, 43(3): 180-195.
冯竞舸, 贺也平, 陶秋铭. 自动向量化：近期进展与展望[J]. 通信学报, 2022,43(3):180-195. DOI： 10.11959/j.issn.1000-436x.2022051.

Jingge FENG, Yeping HE, Qiuming TAO. Auto-vectorization: recent development and prospect[J]. Journal on communications, 2022, 43(3): 180-195. DOI： 10.11959/j.issn.1000-436x.2022051.

摘要

随着单指令流多数据流（SIMD）技术的迅速发展，近年来许多面向 SIMD 扩展部件的自动向量化编译方法被提出，有效缓解了程序员手写向量程序的压力，并发挥了SIMD扩展部件的加速效能。基于此，分析总结了自动向量化领域近 10 年的研究成果，从保义分析和变换、向量化分组分析和变换、面向处理器支持特性的分析和变换以及性能评估分析这4个方面分类归纳了自动向量化的关键问题和主要突破，进而对4个方面的发展趋势和研究方向进行了展望。

Abstract

The technology of SIMD is developing rapidly

and quite a few auto-vectorization methods have been proposed.Auto-vectorization can automatically translate scalar programs into vector programs based on SIMD extension

decrease workload of the programmers in coding vector programs

and effectively improve performance of programs.Based on that

the research achievements in the field of automatic vectorization in recent 10 years were analyzed and summarized.The key problems and major breakthroughs in automatic vectorization were classified from four aspects:semantic-maintaining analysis and transformation

vectorization grouping analysis and transformation

processor-oriented analysis and transformation

and performance evaluation analysis.Furtherly

the development trends and research directions of the four aspects were prospected.

关键词

Keywords

references

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