使用 AVX 指令进行水平向量求和的最快方法 [英] Fastest way to do horizontal vector sum with AVX instructions
问题描述
我有一个包含四个 64 位浮点值的压缩向量.
我想得到向量元素的总和.
I have a packed vector of four 64-bit floating-point values.
I would like to get the sum of the vector's elements.
使用 SSE(并使用 32 位浮点数),我可以执行以下操作:
With SSE (and using 32-bit floats) I could just do the following:
v_sum = _mm_hadd_ps(v_sum, v_sum);
v_sum = _mm_hadd_ps(v_sum, v_sum);
不幸的是,尽管 AVX 具有 _mm256_hadd_pd 指令,但它的结果与 SSE 版本不同.我相信这是因为大多数 AVX 指令分别作为每个低 128 位和高 128 位的 SSE 指令工作,而不会跨越 128 位边界.
Unfortunately, even though AVX features a _mm256_hadd_pd instruction, it differs in the result from the SSE version. I believe this is due to the fact that most AVX instructions work as SSE instructions for each low and high 128-bits separately, without ever crossing the 128-bit boundary.
理想情况下,我正在寻找的解决方案应遵循以下准则:
1) 仅使用 AVX/AVX2 指令.(无 SSE)
2) 不超过 2-3 条指令.
Ideally, the solution I am looking for should follow these guidelines:
1) only use AVX/AVX2 instructions. (no SSE)
2) do it in no more than 2-3 instructions.
然而,任何高效/优雅的方式(即使不遵循上述准则)总是被广泛接受.
However, any efficient/elegant way to do it (even without following the above guidelines) is always well accepted.
非常感谢您的帮助.
-路易吉·卡斯特利
推荐答案
如果你有两个 __m256d
向量 x1
和 x2
,每个向量都包含四个 double
你想要水平求和,你可以这样做:
If you have two __m256d
vectors x1
and x2
that each contain four double
s that you want to horizontally sum, you could do:
__m256d x1, x2;
// calculate 4 two-element horizontal sums:
// lower 64 bits contain x1[0] + x1[1]
// next 64 bits contain x2[0] + x2[1]
// next 64 bits contain x1[2] + x1[3]
// next 64 bits contain x2[2] + x2[3]
__m256d sum = _mm256_hadd_pd(x1, x2);
// extract upper 128 bits of result
__m128d sum_high = _mm256_extractf128_pd(sum1, 1);
// add upper 128 bits of sum to its lower 128 bits
__m128d result = _mm_add_pd(sum_high, _mm256_castpd256_pd128(sum));
// lower 64 bits of result contain the sum of x1[0], x1[1], x1[2], x1[3]
// upper 64 bits of result contain the sum of x2[0], x2[1], x2[2], x2[3]
所以看起来 3 条指令将完成您需要的 2 条水平求和.以上未经测试,但您应该了解概念.
So it looks like 3 instructions will do 2 of the horizontal sums that you need. The above is untested, but you should get the concept.
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