LLVM-generated code is used every day by billions of people on billions of devices—an outcome that can be clearly traced to research funded by the U.S. National Science Foundation (NSF) starting in ...

Auto-vectorization is an important technique for exploiting data-level parallelism. However, existing approaches are primarily designed for SIMD-based general-purpose processors and are not ...

Abstract: Image vectorization aims to convert raster images to vector ones, allowing for easy scaling and editing. Existing works mainly rely on preset parameters (i.e., a fixed number of paths and ...