64位双向量的向量比32位无符号整数的向量更快?

时间:2014-05-07 02:16:48

标签: c++ performance optimization cpu compiler-optimization

我有两种代码迭代大小为500的矢量设计。其中一种设计包含64位双精度数组,第二种设计使用包含32位整数的数组。我期待32位设计更快,因为可以在缓存中打包更多有用的数据。

编译器MSVC,CPU Ivy Bridge,编译64位模式。

这是代码1,使用32位整数(在 2600 CPU周期中运行):

#include <vector>
#include <iostream>

int main(){

    std::vector<unsigned int> x1;
    std::vector<unsigned int> x2;
    std::vector<unsigned int> x3;
    x1.resize(500);
    x2.resize(500);
    x3.resize(500);

    for(int i =0; i<500; i++){
        x1[i] = i;
        x2[i] = 2*i;
        x3[i] = 4*i;
    }


    int counter = 0;
    while(counter < 1000){
        unsigned long long start = 0;
        unsigned long long end = 0;

        double m = 0;
        double n = 0;

        start = __rdtsc();

        for(int i=0; i < 500; i++){
            unsigned int a = x1[i];
            unsigned int b = x2[i];
            unsigned int g = x3[i];
            m = m + (a * g);
            n = n + (b * g);
        }

        end = __rdtscp();

        std::cout << (end-start) << "\t\t"<<m << n << std::endl;
        counter++;
    }
}

产生这个asm(-Os):

start = __rdtscp(&p);
 rdtscp  
 lea         r8,[rbp+6Fh]  
 mov         dword ptr [r8],ecx  
 shl         rdx,20h  
 or          rax,rdx  
 mov         r10,rax  
        unsigned int p;
        unsigned int q;
        unsigned long long start = 0;
        unsigned long long end = 0;

        double m = 0;
 mov         r8,rbx  
 mov         r9d,1F4h  
            unsigned int a = x1[i];
            unsigned int b = x2[i];
            unsigned int g = x3[i];
 mov         edx,dword ptr [r8+r15]  
            m = m + (a * g);
 mov         ecx,edx  
 imul        ecx,dword ptr [r8+r14]  
 xorps       xmm0,xmm0  
 cvtsi2sd    xmm0,rcx  
 addsd       xmm7,xmm0  
            n = n + (b * g);
 imul        edx,dword ptr [r8]  
 mov         eax,edx  
 xorps       xmm0,xmm0  
 cvtsi2sd    xmm0,rax  
 addsd       xmm8,xmm0  

        for(int i=0; i < 500; i++){
 add         r8,4  
 dec         r9  
 jne         main+0E5h (013F681261h)  
        }

        end = __rdtscp(&q);
 rdtscp  
        }

        end = __rdtscp(&q);
 lea         r8,[rbp+6Fh]  
 mov         dword ptr [r8],ecx  
 shl         rdx,20h  
 or          rdx,rax  

这是代码2,使用64位双精度数(代码在 2000 CPU周期中运行):

#include <vector>
#include <iostream>

int main(){

    std::vector<double> x1;
    std::vector<double> x2;
    std::vector<unsigned long long> x3;
    x1.resize(500);
    x2.resize(500);
    x3.resize(500);

    for(int i =0; i<500; i++){
        x1[i] = i;
        x2[i] = 2*i;
        x3[i] = 4*i;
    }

    int counter = 0;
    while(counter < 1000){
        unsigned int p;
        unsigned int q;
        unsigned long long start = 0;
        unsigned long long end = 0;

        double m = 0;
        double n = 0;

        start = __rdtscp(&p);

        for(int i=0; i < 500; i++){
            double a = x1[i];
            double b = x2[i];
            unsigned long long g = x3[i];
            m = m + (a * g);
            n = n + (b * g);
        }

        end = __rdtscp(&q);

        std::cout << (end-start) << "\t\t"<<m << n << std::endl;
        counter++;
    }
}

这里是asm(-Os)产生的:

start = __rdtscp(&p);
 rdtscp  
 lea         r8,[rbp+6Fh]  
 mov         dword ptr [r8],ecx  
 shl         rdx,20h  
 or          rax,rdx  
 mov         r9,rax  
        unsigned int p;
        unsigned int q;
        unsigned long long start = 0;
        unsigned long long end = 0;

        double m = 0;
 mov         rdx,rbx  
 mov         r8d,1F4h  
            double a = x1[i];
            double b = x2[i];
            unsigned long long g = x3[i];
 mov         rcx,qword ptr [rdx+r15]  
 xorps       xmm1,xmm1  
            m = m + (a * g);
 cvtsi2sd    xmm1,rcx  
 test        rcx,rcx  
 jns         main+120h (013F32129Ch)  
 addsd       xmm1,xmm9  
 movaps      xmm0,xmm1  
 mulsd       xmm0,mmword ptr [rdx+r14]  
 addsd       xmm6,xmm0  
            n = n + (b * g);
 mulsd       xmm1,mmword ptr [rdx]  
 addsd       xmm7,xmm1  

        for(int i=0; i < 500; i++){
 add         rdx,8  
 dec         r8  
 jne         main+10Ah (013F321286h)  
        }

        end = __rdtscp(&q);
 rdtscp  
        }

        end = __rdtscp(&q);
 lea         r8,[rbp+6Fh]  
 mov         dword ptr [r8],ecx  
 shl         rdx,20h  
 or          rdx,rax

1 个答案:

答案 0 :(得分:6)

不同之处在于第一个代码中的整数转换为双精度(向量包含unsigned int,产品采用整数运算,但积累使用double,在汇编程序中这会添加{{ 1}}指令代码。)

在第二个代码中,您在任何地方都使用双打,因此您无法进行转换,代码运行得更快。

对于在固定点和浮点处理单元之间有更严格区别的CPU而言,这种差异会更加明显(POWER平台就是一个例子)。在这方面,X86平台非常宽容。