创新点
(1) 通过扩展语句依赖图构建了一种新的有向依赖关系图,该依赖关系图同时包含数组和语句之间的依赖关系信息,便于分析SLP向量化识别的过程
(2) 提出了一种基于该有向依赖图内节点之间可达性分析的SLP向量化识别过程,根据节点之间的可达性关系可以分析出SLP向量化关注的所有依赖关系信息
(3) 在Open64-5.0编译器中实现了SLP向量化算法,并大幅提升了Open64-5.0编译器识别和发掘程序SLP向量化的能力
(4) 利用优化后的Open64-5.0编译器对实际应用程序进行了测试,结果表明优化后的Open64-5.0编译器识别SLP向量化的能力优于GCC4.9编译器,与Intel14.0编译器相当;对部分应用程序,利用优化后的Open64编译器实现SLP向量化,其性能优于商业编译器。
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Zhao, J., Zhao, R. Identifying superword level parallelism with extended directed dependence graph reachability. Sci. China Inf. Sci. 60, 019103 (2017). https://doi.org/10.1007/s11432-015-0163-7
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DOI: https://doi.org/10.1007/s11432-015-0163-7