A dependence graph pattern mining method for processor performance analysis
文献类型:期刊论文
作者 | Zheng, Yawen1,2,3; Han, Chenji1,2,3; Zhang, Tingting2,4; Zhang, Fuxin1,2; Wang, Jian1,2,3 |
刊名 | PERFORMANCE EVALUATION
![]() |
出版日期 | 2024-05-01 |
卷号 | 164页码:20 |
关键词 | Performance analysis Critical path analysis Micro-execution dependence graph Sequential pattern mining High average utility |
ISSN号 | 0166-5316 |
DOI | 10.1016/j.peva.2024.102409 |
英文摘要 | As the complexity of processor microarchitecture and applications increases, obtaining performance optimization knowledge, such as critical dependent chains, becomes more challenging. To tackle this issue, this paper employs pattern mining methods to analyze the critical path of processor micro -execution dependence graphs. We propose a high average utility pattern mining algorithm called Dependence Graph Miner (DG -Miner) based on the characteristics of dependence graphs. DG -Miner overcomes the limitations of current pattern mining algorithms for dependence graph pattern mining by offering support for variable utility, candidate generation using endpoint matching, the adjustable upper bound, and the concise pattern judgment mechanism. Experiments reveal that, compared with existing upper bound candidate generation methods, the adjustable upper bound reduces the number of candidate patterns by 28.14% and the running time by 27% on average. The concise pattern judgment mechanism enhances the conciseness of mining results by 16.31% and reduces the running time by 39.82%. Furthermore, DG -Miner aids in identifying critical dependent chains, critical program regions, and performance exceptions. |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:001206889700001 |
出版者 | ELSEVIER |
源URL | [http://119.78.100.204/handle/2XEOYT63/39006] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Wang, Jian |
作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Proc, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Loongson Technol Corp Ltd, Beijing 100095, Peoples R China |
推荐引用方式 GB/T 7714 | Zheng, Yawen,Han, Chenji,Zhang, Tingting,et al. A dependence graph pattern mining method for processor performance analysis[J]. PERFORMANCE EVALUATION,2024,164:20. |
APA | Zheng, Yawen,Han, Chenji,Zhang, Tingting,Zhang, Fuxin,&Wang, Jian.(2024).A dependence graph pattern mining method for processor performance analysis.PERFORMANCE EVALUATION,164,20. |
MLA | Zheng, Yawen,et al."A dependence graph pattern mining method for processor performance analysis".PERFORMANCE EVALUATION 164(2024):20. |
入库方式: OAI收割
来源:计算技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。