CUDA中的整数最小值/最大值

问题描述

我在文档中看到了一些功能单精度和双精度最小/最大运算（例如 fminf（））。我认为这些是高度优化的，等等。对于整数，似乎没有像这样的函数。这是真的？

I see in the CUDA Math API documentation that there are functions for single and double precision min/max operations (e.g. fminf()). I assume these are highly optimized, etc. There don't seem to be functions like these for integers. Is this true? Is there a reason for that?

推荐答案

存在整数的最小/最大设备函数，但是它们都被重载调用 max（）。在device_functions.hpp中查找：

There are min/max device functions for integers, but they are all called with an overloaded max(). Look in device_functions.hpp:

__DEVICE_FUNCTIONS_STATIC_DECL__ int max(int x, int y)
{
  return __nv_max(x, y);
}

__DEVICE_FUNCTIONS_STATIC_DECL__ unsigned int umax(unsigned int x, unsigned int y)
{
  return __nv_umax(x, y);
}

__DEVICE_FUNCTIONS_STATIC_DECL__ long long llmax(long long x, long long y)
{
  return __nv_llmax(x, y);
}

__DEVICE_FUNCTIONS_STATIC_DECL__ unsigned long long ullmax(unsigned long long x,
                                                 unsigned long long y)
{
  return __nv_ullmax(x, y);
}

它们未在Integer Intinsics部分中列出，因为在math_functions.hpp中 max 函数已重载，可以为您调用这些函数。 __ nv * 函数记录在device_function_decls.hpp中。

They're not listed in the Integer Intinsics section because in math_functions.hpp the max function is overloaded to call these functions for you. The __nv* functions are documented in device_function_decls.hpp.

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