有什么方法来优化CUDA中的sincos调用吗？ [英] Is there any way to optimize sincos calls in CUDA?

问题描述

我在CUDA中编写一个程序，使用双精度对 sincos（）函数进行大量调用。恐怕这是代码最大的瓶颈之一，我不能减少对函数的调用次数。

I'm writing a program in CUDA that makes a huge amount of calls to the sincos() function, using double precision. I'm afraid this is one of the biggest bottlenecks of the code, and I cannot reduce the number of calls to the function.

是否有适当的近似值 sincos 在CUDA或库中我可以导入？我也很关心准确性，所以更好的近似是，我的代码将更快乐。

Is there any decent approximation to sincos in CUDA or in a library I can import? I am also quite concerned with the accuracy, so the better the approximation is, the happier my code will be.

我也考虑构建一个查找表或近似

I've also thought about building a lookup table or approximating the values with their taylor series, but I want some opinions before going down that road.

推荐答案

一个相当快速和准确的 sincos 函数位于 CUDA math api 。只需包含 math.h 。或使用 sincosf （这里）如果这将为你工作。 （我知道你的问题是双精度的，只是指出一些东西。）

A pretty fast and accurate sincos function is available in the CUDA math api. Just include math.h. Or use sincosf (here) if that will work for you. (I'm aware that you said double precision in your question. Just pointing some things out.)

如果你可以使用 sincospif 而不是 sincosf ，@njuffa工作他的魔法这里，您可能会感兴趣。

If you can use sincospif instead of sincosf, @njuffa has worked his magic here, which may interest you.

此问题和此问题也可能对您感兴趣。

This question and this question may also interest you.

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