AI RESEARCH
AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code
arXiv CS.CL
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ArXi:2605.17978v1 Announce Type: new Vectorization via Single Instruction, Multiple Data (SIMD) architectures is a cornerstone of high-performance computing. To fully exploit hardware potential, developers often resort to explicit vectorization using intrinsics, as compiler-based auto-vectorization frequently yields suboptimal results due to conservative static analysis.