快速ARM NEON的memcpy [英] Fast ARM NEON memcpy
问题描述
我要在图像上的ARMv7的核心复制。天真的实现是调用每行的memcpy。
I want to copy an image on an ARMv7 core. The naive implementation is to call memcpy per line.
for(i = 0; i < h; i++) {
memcpy(d, s, w);
s += sp;
d += dp;
}
我知道以下
d, dp, s, sp, w
均为32字节对齐,所以我的下一个(仍然相当幼稚)实现是沿着线
are all 32-byte aligned, so my next (still quite naive) implementation was along the lines of
for (int i = 0; i < h; i++) {
uint8_t* dst = d;
const uint8_t* src = s;
int remaining = w;
asm volatile (
"1: \n"
"subs %[rem], %[rem], #32 \n"
"vld1.u8 {d0, d1, d2, d3}, [%[src],:256]! \n"
"vst1.u8 {d0, d1, d2, d3}, [%[dst],:256]! \n"
"bgt 1b \n"
: [dst]"+r"(dst), [src]"+r"(src), [rem]"+r"(remaining)
:
: "d0", "d1", "d2", "d3", "cc", "memory"
);
d += dp;
s += sp;
}
这比的memcpy快过大量迭代〜150%(按不同的图像,所以没有利用高速缓存的)。我觉得这应该是无处最佳附近,因为我还没有使用preloading,但是当我做,我只似乎能够使性能显着恶化。没有人有任何见解吗?
Which was ~150% faster than memcpy over a large number of iterations (on different images, so not taking advantage of caching). I feel like this should be nowhere near the optimum because I am yet to use preloading, but when I do I only seem to be able to make performance substantially worse. Does anyone have any insight here?
推荐答案
ARM对这个伟大的技术说明。
ARM has a great tech note on this.
的http://信息中心.arm.com /帮助/ index.jsp的?主题= / com.arm.doc.faqs / ka13544.html
根据不同的微架构你的表现肯定会有所不同,ARM公司的说明是在A8,但我认为它会给你一个体面的想法,并在底部的总结是,去的各种利弊的大讨论不仅仅是常规数字,比如哪些方法导致寄存器使用,等等。
Your performance will definitely vary depending on the micro-architecture, ARM's note is on the A8 but I think it will give you a decent idea, and the summary at the bottom is a great discussion of the various pros and cons that go beyond just the regular numbers, such as which methods result in the least amount of register usage, etc.
是的,正如一位网民提及,pre取是很难得到的权利,并将与不同的微架构的工作方式不同,这取决于如何大的缓存,以及如何大的每一行是和一堆关于缓存设计等细节。您可以结束了,如果你不小心,你需要颠簸线。我会建议避免它便携code。
And yes, as another commenter mentions, pre-fetching is very difficult to get right, and will work differently with different micro-architectures, depending on how big the caches are and how big each line is and a bunch of other details about the cache design. You can end up thrashing lines you need if you aren't careful. I would recommend avoiding it for portable code.
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