.png){kind=icon}
Return
Two-level automatic software optimization using cooperative co-evolutionary algorithms
.png){kind=icon}
OA
AI
DOI：10.1016/j.asoc.2026.115066.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• Examines the impact of the legacy and new LLVM pass managers on automatic software optimization. • Introduces a two-level optimization framework that integrates both pass managers. • Employs a cooperative co-evolutionary strategy to address the joint optimization problem. • Demonstrates substantial runtime improvements—up to 99.41% compared to non-optimized baselines.
Keywords:
Source code transformation
Cooperative coevolution
Runtime
LLVM
Software performance
Genetic algorithms
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
6.6
Papers:
1.4W
Citations:
4.8W
Organization
Cited Papers
Exploring Signed Social Networks: Algorithms for Community Detection and Structure Analysis.png)
KHWARIZMIA
KHWARIZMIAIF0
PREAI
ShareSaveShareSaveShareSaveShareSaveShareSave
View more