问题描述
所以我刚刚发现了非常有趣的 Quake III 平方根倒数技巧。在了解了它的工作原理之后,我决定测试它。我发现该 hack 在启用优化的情况下编译时仅优于 math.h 1/sqrt(X)。
黑客的实现:
float q_sqrt(float x) {
float x2 = x * 0.5F;
int i = *( int* )&x; // evil floating point bit hack
i = 0x5f3759df - (i >> 1); // what the fuck?
x = *( float* )&i;
x = x * ( 1.5F - ( (x2 * x * x) ) ); //1st iteration
//y = y * ( 1.5F - ( (x2 * y * y) ) ); //2nd iteration,can be removed
return x;
}
要测试 1/sqrt(x) 与 q_sqrt(x) 相比的运行速度:
//qtest.c
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <time.h>
/*
Implementation of 1/sqrt(x) used in tue quake III game
*/
float q_sqrt(float x) {
float x2 = x * 0.5F;
int i = *( int* )&x; // evil floating point bit hack
i = 0x5f3759df - (i >> 1); // what the fuck?
x = *( float* )&i;
x = x * ( 1.5F - ( (x2 * x * x) ) ); //1st iteration
//y = y * ( 1.5F - ( (x2 * y * y) ) ); //2nd iteration,can be removed
return x;
}
int main(int argc,char *argv[]) {
struct timespec start,stop;
//Will work on floats in the range [0,100]
float maxn = 100;
//Work on 10000 random floats or as many as user provides
size_t num = 10000;
//Bogus
float ans = 0;
//Measure nanoseconds
size_t ns = 0;
if (argc > 1)
num = atoll(argv[1]);
if (num <= 0) return -1;
//Compute "num" random floats
float *vecs = malloc(num * sizeof(float));
if (!vecs) return -1;
for (int i = 0; i < num; i++)
vecs[i] = maxn * ( (float)rand() / (float)RAND_MAX );
fprintf(stderr,"Measuring 1/sqrt(x)\n");
clock_gettime( CLOCK_REALTIME,&start);
for (size_t i = 0; i < num; i++)
ans += 1 / sqrt(vecs[i]);
clock_gettime( CLOCK_REALTIME,&stop);
ns = ( stop.tv_sec - start.tv_sec ) * 1E9 + ( stop.tv_nsec - start.tv_nsec );
fprintf(stderr,"1/sqrt(x) took %.6f nanosecods\n",(double)ns/num );
fprintf(stderr,"Measuring q_sqrt(x)\n");
clock_gettime( CLOCK_REALTIME,&start);
for (size_t i = 0; i < num; i++)
ans += q_sqrt(vecs[i]);
clock_gettime( CLOCK_REALTIME,"q_sqrt(x) took %.6f nanosecods\n",(double)ns/num );
//Side by side
//for (size_t i = 0; i < num; i++)
// fprintf(stdout,"%.6f\t%.6f\n",1/sqrt(vecs[i]),q_sqrt(vecs[i]));
free(vecs);
}
在我的系统 (Ryzen 3700X) 上,我得到:
gcc -Wall -pedantic -o qtest qtest.c -lm
./qtest
Measuring 1/sqrt(x)
1/sqrt(x) took 4.470000 nanosecods
Measuring q_sqrt(x)
q_sqrt(x) took 4.859000 nanosecods
gcc -Wall -pedantic -O1 -o qtest qtest.c -lm
./qtest
Measuring 1/sqrt(x)
1/sqrt(x) took 0.378000 nanosecods
Measuring q_sqrt(x)
q_sqrt(x) took 0.497000 nanosecods
gcc -Wall -pedantic -O2 -o qtest qtest.c -lm
qtest.c: In function ‘q_sqrt’:
qtest.c:11:14: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
11 | int i = *( int* )&x; // evil floating point bit hack
|
qtest.c:13:10: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
13 | x = *( float* )&i;
|
./qtest
Measuring 1/sqrt(x)
1/sqrt(x) took 0.500000 nanosecods
Measuring q_sqrt(x)
q_sqrt(x) took 0.002000 nanosecods
我的期望是 q_sqrt(x) 比 1/sqrt(X) 开箱即用。阅读更多内容后,我现在知道要么libm 优化得更好,要么我的CPU 配备了sqrt(X) 的硬件解决方案。毕竟,自从快速逆根黑客开发以来,CPU 已经发生了突飞猛进的变化。
我不明白的是编译器会应用什么类型的优化来使它更快。当然,也许我的基准是构思错误的?
感谢您的帮助!!
解决方法
正如您所说,大多数现代 CPU 都包含一个浮点单元,该单元通常提供计算平方根的硬件指令。 FPU 还提供除法指令,因此我希望您的处理器(尽管我不知道)能够仅用几条汇编指令来计算逆 sqrt。您的结果有点令人惊讶:您应该检查是否真的使用了 FPU。我不了解锐龙,但在 ARM 处理器上,您可以编译软件以使用硬件浮点指令或软件库。
现在回答您的问题:GCC 优化是一个复杂的故事,通常不可能准确预测给定级别对性能的影响。所以像你一样运行一些测试,或者看看here的理论。
,CLang/LLVM 的具体区别是这些。
没有优化(-O0):
q_sqrt(float): # @q_sqrt(float)
push rbp
mov rbp,rsp
movss dword ptr [rbp - 4],xmm0
movss xmm0,dword ptr [rip + .LCPI0_1] # xmm0 = mem[0],zero,zero
mulss xmm0,dword ptr [rbp - 4]
movss dword ptr [rbp - 8],xmm0
mov eax,dword ptr [rbp - 4]
mov dword ptr [rbp - 12],eax
mov ecx,dword ptr [rbp - 12]
sar ecx,1
mov eax,1597463007
sub eax,ecx
mov dword ptr [rbp - 12],eax
movss xmm0,dword ptr [rbp - 12] # xmm0 = mem[0],zero
movss dword ptr [rbp - 4],dword ptr [rbp - 4] # xmm0 = mem[0],zero
movss xmm2,dword ptr [rbp - 8] # xmm2 = mem[0],zero
mulss xmm2,dword ptr [rbp - 4]
mulss xmm2,dword ptr [rbp - 4]
movss xmm1,dword ptr [rip + .LCPI0_0] # xmm1 = mem[0],zero
subss xmm1,xmm2
mulss xmm0,xmm1
movss dword ptr [rbp - 4],zero
pop rbp
ret
优化(-Ofast):
q_sqrt(float): # @q_sqrt(float)
movd eax,xmm0
sar eax
mov ecx,1597463007
sub ecx,eax
movd xmm1,ecx
mulss xmm0,dword ptr [rip + .LCPI0_0]
movdqa xmm2,xmm1
mulss xmm2,xmm1
mulss xmm0,xmm2
addss xmm0,dword ptr [rip + .LCPI0_1]
mulss xmm0,xmm1
ret
您可以使用 https://godbolt.org/ 来检查编译器的汇编输出,使用各种不同的标志并检查它如何影响输出。