用高阶向量语义在C语言中简化整个函数的向量化

Gil Rapaport, A. Zaks, Y. Ben-Asher
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引用次数: 8

摘要

在C程序中充分利用SIMD指令仍然需要使用内在特性进行冗长且不可移植的编程,尽管近几十年来在开发自动向量化功能方面付出了相当大的努力。全函数矢量化(WFV)是将SIMD的使用扩展到整个函数的最新技术。到目前为止,WFV仅用于数据并行语言,如OpenCL和ISPC。我们提出了一个面向向量的编程框架,直接在C中促进WFV。我们表明,我们的框架在保持C的原始语法和语义的同时,实现了与Open CL和ISPC竞争的性能。这允许C程序员通过提高SIMD利用率来获得更好的应用程序性能,而无需走出C。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Streamlining Whole Function Vectorization in C Using Higher Order Vector Semantics
Taking full advantage of SIMD instructions in C programs still requires tedious and non-portable programming using intrinsics, despite considerable efforts spent developing auto-vectorization capabilities in recent decades. Whole Function Vectorization (WFV) is a recent technique for extending the use of SIMD across entire functions. WFV has so far only been used in data-parallel languages such as OpenCL and ISPC. We propose a vector-oriented programming framework that facilitates WFV directly in C. We show that our framework achieves competitive performance to Open CL and ISPC while maintaining C's original syntax and semantics. This allows C programmers to gain better performance for their applications by improving SIMD utilization, without stepping out of C.
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