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Many libraries, such as OpenCV, FFmpeg, XNNPACK, and Eigen, utilize Arm orx86 SIMD Intrinsics to optimize programs for performance. With the emergence ofRISC-V Vector Extensions (RVV), there is a need to migrate these performancelegacy codes for RVV. Currently, the migration of NEON code to RVV coderequires manual rewriting, which is a time-consuming and error-prone process.In this work, we use the open source tool, "SIMD Everywhere" (SIMDe), toautomate the migration. Our primary task is to enhance SIMDe to enable theconversion of ARM NEON Intrinsics types and functions to their correspondingRVV Intrinsics types and functions. For type conversion, we devise strategiesto convert Neon Intrinsics types to RVV Intrinsics by considering the vectorlength agnostic (vla) architectures. With function conversions, we analyzecommonly used conversion methods in SIMDe and develop customized conversionsfor each function based on the results of RVV code generations. In ourexperiments with Google XNNPACK library, our enhanced SIMDe achieves speedupranging from 1.51x to 5.13x compared to the original SIMDe, which does notutilize customized RVV implementations for the conversions.

SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions