VecTrans is a novel framework that uses Large Language Models to transform complex code patterns for optimal CPU vectorization, addressing limitations in traditional compiler optimizations.

• Combines LLM pattern recognition with compiler expertise to identify vectorization opportunities
• Implements validation mechanisms to ensure correctness and prevent hallucinations
• Achieves significant performance improvements by enabling vectorization where compilers traditionally fail
• Demonstrates practical applications for high-performance computing on modern CPUs

This research bridges the gap between AI capabilities and compiler technology, offering a path to automatically optimize code performance without manual intervention by experts.

VecTrans: LLM Transformation Framework for Better Auto-vectorization on High-performance CPU