Detecting SIMDization Opportunities through Static/Dynamic Dependence Analysis

摘要

Using SIMD instructions is essential in modern processor architecture for high performance computing. Compilers antomatic vectorization shows limited efficiency in general, due to conservative dependence analysis. complex control flow or indexing. This paper presents a technique to detect SIMDization opportunities, complementing in a more detailed way compiler optimization reports. The method is based on static and dynamic dependence analysis, able to analyze codes not vectorized by a compiler. This method generates user-hints to help vectorize applications. We show on TSVC benchmark the benefits of this approach.