多线程向量化

T. Chiueh
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引用次数: 18

摘要

引入了一种称为多线程向量化的新架构概念,以扩大“可向量化”代码的范围,同时保持与传统向量机相同的管道效率和简单性。这种体系结构可以看作是向量机和VLIW机之间的折衷。基于该软件的编译算法。提出了将循环映射到多线程体系结构的流水线技术。对于一些传统上被认为是不可向化的内核,我们展示了这种架构可以提供比传统向量机高达60%的性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-threaded vectorization
A new architectural concept called multithreaded vecrorization is introduced to bmaden the range of “vectorizable” code while keeping the same pipeline efficiency and simplicity as in conventional vector machines. This architecture can be viewed as a compromise between vector and VLIW machines. A compiler algorithm based on the software. pipelining technique is proposed to map loops to multi-threaded architecture. For several conventionally considered nonvectorizable kernels, we show this architecture can deliver as much as 60 percent of performance gain over conventional vector machines.
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