ICSE 2025 (series) / GI 2025 (series) / GI 2025 /
A Three-Stage Genetic Algorithm for Compiler Flag and Library Version Selection to Minimize Execution Time
This program is tentative and subject to change.
Existing research in compiler autotuning mainly focuses on selecting optimization flags without configurable values. However, the potential of selecting optimization flags with configurable values, alongside using directory and link flags for library version selection to improve performance, remains largely unexplored. We propose a three-stage Genetic Algorithm (GA) that incrementally selects optimization flags without configurable values, then optimization flags with configurable values, and finally library versions, to minimize software execution time. We also discuss the implementation challenges of the proposed algorithm and outline potential future work.
This program is tentative and subject to change.
Sun 27 AprDisplayed time zone: Eastern Time (US & Canada) change
Sun 27 Apr
Displayed time zone: Eastern Time (US & Canada) change
14:00 - 15:30 | Afternoon Session 1GI at 202 Chair(s): Carol Hanna University College London, Penn Rainford University of York, UK | ||
14:00 75mTutorial | Automated Software Performance Improvement with Magpie GI Aymeric Blot University of Rennes, IRISA / INRIA | ||
15:15 15mTalk | A Three-Stage Genetic Algorithm for Compiler Flag and Library Version Selection to Minimize Execution Time GI |