Under CopyrightFeld, DustinDustinFeldSoddemann, ThomasThomasSoddemannJünger, MichaelMichaelJüngerMallach, SvenSvenMallach2022-03-1229.3.20132013https://publica.fraunhofer.de/handle/publica/37984110.24406/publica-fhg-379841Although Single Instruction Multiple Data (SIMD) units are available in general purpose processors already since the 1990s, state-of-the-art compilers are often still not capable to fully exploit them, i.e., they may miss to achieve the best possible performance. We present a new hardware-aware and adaptive loop tiling approach that is based on polyhedral transformations and explicitly dedicated to improve on auto-vectorization.enpolyhedral modelvectorizationSIMDSSEcacheparallelization003005006518conference paper