关键词: 大规模SIMD,并行,向量化,非满载向量操作,收益分析

Abstract: Large-scale SIMD architecture provides stronger vector parallel support on hardware.However,a large number of loops which are short of iterations can not provide sufficient parallelism,and it is difficult to achieve them with the equivalent vector mode.In order to make full use of SIMD,this paper presented a vectorization method which can use non-full length of SIMD vector instruction.This paper studied the vector register usage,achieved a non-full vector operation based on non-full length usage of vector register,which can vectorize short loops.Finally,this method was used to vectorize the common loops.Moreover,This paper provided a benefit analysis method to guide the vectorization method.Experimental results show that the method is available,the target loops of the selected test programs are vectorized and the average speedup is about 1.2.

Key words: Large-scale SIMD,Parallel,Vectorization,Non-full vector operation,Benefit analysis