windows下sse性能对比
【摘要】
SSE(Streaming SIMD Extensions)是英特尔在AMD的3D Now!发布一年之后，在其计算机芯片Pentium III中引入的指令集，是MMX的超集。AMD后来在Athlon XP中加入了对这个指令集的支持。这个指令集增加了对8个128位寄存器XMM0-XMM7的支持，每个寄存器可以存储4个单精度浮点数。使用这些寄存器的程序必须使用FXSAVE和...
SSE(Streaming SIMD Extensions)是英特尔在AMD的3D Now!发布一年之后，在其计算机芯片Pentium III中引入的指令集，是MMX的超集。AMD后来在Athlon XP中加入了对这个指令集的支持。这个指令集增加了对8个128位寄存器XMM0-XMM7的支持，每个寄存器可以存储4个单精度浮点数。使用这些寄存器的程序必须使用FXSAVE和FXRSTR指令来保持和恢复状态。但是在Pentium III对SSE的实现中，浮点数寄存器又一次被新的指令集占用了，但是这一次切换运算模式不是必要的了，只是SSE和浮点数指令不能同时进入CPU的处理线而已。
库文件说明
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#ifndef __METHOD
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#define __METHOD
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void ScaleValue1(float *pArray, DWORD dwCount, float fScale);//乘法
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void ScaleValue2(float *pArray, DWORD dwCount, float fScale);
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void Add1(float *pArray, DWORD dwCount, float fScale);//加法
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void Add2(float *pArray, DWORD dwCount, float fScale);
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void Sqrt1(float *pArray, DWORD dwCount, float fScale);//平方
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void Sqrt2(float *pArray, DWORD dwCount, float fScale);
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void Min1(float *pArray, DWORD dwCount, float fScale);//最小值
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void Min2(float *pArray, DWORD dwCount, float fScale);//最小值
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void Max1(float *pArray, DWORD dwCount, float fScale);//最小值
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void Max2(float *pArray, DWORD dwCount, float fScale);//最小值
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void And1(float *pArray, DWORD dwCount, float fScale);//与操作
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void And2(float *pArray, DWORD dwCount, float fScale);//与操作
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#endif
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#include <xmmintrin.h>
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#include <Windows.h>
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#include <math.h>
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void ScaleValue1(float *pArray, DWORD dwCount, float fScale)//乘法
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{
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DWORD dwGroupCount = dwCount/4;
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__m128 e_Scale = _mm_set_ps1(fScale);//设置所有4个值为同一值
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for (DWORD i=0; i<dwGroupCount; i++)
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{
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*(__m128*)(pArray + i*4) = _mm_mul_ps( *(__m128*)(pArray + i*4),e_Scale);
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}
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}
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void ScaleValue2(float *pArray, DWORD dwCount, float fScale)
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{
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for (DWORD i =0; i<dwCount; i++)
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{
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pArray[i] *= fScale;
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}
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}
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void Add1(float *pArray, DWORD dwCount, float fScale)//加法
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{
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DWORD dwGroupCount = dwCount/4;
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__m128 e_Scale = _mm_set_ps1(fScale);//设置所有4个值为同一值
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for (DWORD i=0; i<dwGroupCount; i++)
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{
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*(__m128*)(pArray + i*4) = _mm_add_ps( *(__m128*)(pArray + i*4),e_Scale);
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}
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}
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void Add2(float *pArray, DWORD dwCount, float fScale)
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{
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for (DWORD i =0; i<dwCount; i++)
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{
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pArray[i] += fScale;
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}
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}
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void Sqrt1(float *pArray, DWORD dwCount, float fScale)//平方
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{
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DWORD dwGroupCount = dwCount/4;
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__m128 e_Scale = _mm_set_ps1(fScale);//设置所有4个值为同一值
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for (DWORD i=0; i<dwGroupCount; i++)
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{
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*(__m128*)(pArray + i*4) = _mm_sqrt_ps(e_Scale);
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}
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}
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void Sqrt2(float *pArray, DWORD dwCount, float fScale)
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{
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for (DWORD i =0; i<dwCount; i++)
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{
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pArray[i] = sqrt(fScale);
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}
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}
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void Min1(float *pArray, DWORD dwCount, float fScale)//最小值
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{
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DWORD dwGroupCount = dwCount/4;
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__m128 e_Scale = _mm_set_ps1(fScale);//设置所有4个值为同一值
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for (DWORD i=0; i<dwGroupCount; i++)
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{
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*(__m128*)(pArray + i*4) = _mm_min_ps( *(__m128*)(pArray + i*4),e_Scale);
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}
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}
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void Min2(float *pArray, DWORD dwCount, float fScale)
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{
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for (DWORD i =0; i<dwCount; i++)
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{
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pArray[i] = (pArray[i]>fScale? fScale : pArray[i]);
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}
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}
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void Max1(float *pArray, DWORD dwCount, float fScale)//最大值
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{
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DWORD dwGroupCount = dwCount/4;
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__m128 e_Scale = _mm_set_ps1(fScale);//设置所有4个值为同一值
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for (DWORD i=0; i<dwGroupCount; i++)
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{
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*(__m128*)(pArray + i*4) = _mm_max_ps( *(__m128*)(pArray + i*4),e_Scale);
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}
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}
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void Max2(float *pArray, DWORD dwCount, float fScale)
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{
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for (DWORD i =0; i<dwCount; i++)
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{
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pArray[i] = (pArray[i]<fScale? fScale : pArray[i]);
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}
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}
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void And1(float *pArray, DWORD dwCount, float fScale)//与操作
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{
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DWORD dwGroupCount = dwCount/4;
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__m128 e_Scale = _mm_set_ps1(fScale);//设置所有4个值为同一值
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for (DWORD i=0; i<dwGroupCount; i++)
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{
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*(__m128*)(pArray + i*4) = _mm_and_ps( *(__m128*)(pArray + i*4),e_Scale);
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}
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}
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void And2(float *pArray, DWORD dwCount, float fScale)
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{
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for (DWORD i =0; i<dwCount; i++)
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{
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pArray[i] = (int)(pArray[i]) & (int)(fScale);
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}
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}
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采用SSE和不采用SSE的数学计算操作速度对比：
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#include <xmmintrin.h>
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#include <Windows.h>
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#include <iostream>
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#include "Method.h"
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using namespace std;
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#define ARRAYCOUNT 1000
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#define COUNTSIZE 10000
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class CTimer
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{
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public:
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__forceinline CTimer(void)
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{
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QueryPerformanceFrequency(&m_Frequency);// 获取时钟周期
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QueryPerformanceCounter(&m_StartCount);// 获取时钟计数
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}
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__forceinline void Reset(void)
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{
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QueryPerformanceCounter(&m_StartCount);
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}
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__forceinline double End(void)
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{
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QueryPerformanceCounter(&m_EndCount);
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return ( m_EndCount.QuadPart - m_StartCount.QuadPart )*1000/m_Frequency.QuadPart;
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}
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private:
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LARGE_INTEGER m_Frequency;
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LARGE_INTEGER m_StartCount;
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LARGE_INTEGER m_EndCount;
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};
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int __cdecl main()
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{
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float __declspec(align(16))Array[ARRAYCOUNT];
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//__declspec(align(16))做为数组定义的修释符，这表示该数组是以16字节为边界对齐的，
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//因为SSE指令只能支持这种格式的内存数据
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memset(Array, 0, sizeof(float)*ARRAYCOUNT);
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CTimer t;
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double dTime;
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//乘法
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cout<<"乘法:"<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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ScaleValue1(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Use SSE: "<<dTime<<"毫秒"<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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ScaleValue2(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Not Use SSE: "<<dTime<<"毫秒"<<endl;
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//加法
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cout<<"加法："<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Add1(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Use SSE: "<<dTime<<"毫秒"<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Add2(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Not Use SSE: "<<dTime<<"毫秒"<<endl;
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//平方
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cout<<"平方："<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Sqrt1(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Use SSE: "<<dTime<<"毫秒"<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Sqrt2(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Not Use SSE: "<<dTime<<"毫秒"<<endl;
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//最小值
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cout<<"最小值："<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Min1(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Use SSE: "<<dTime<<"毫秒"<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Min2(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Not Use SSE: "<<dTime<<"毫秒"<<endl;
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//最大值
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cout<<"最大值："<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Max1(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Use SSE: "<<dTime<<"毫秒"<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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Max2(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Not Use SSE: "<<dTime<<"毫秒"<<endl;
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//与操作
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cout<<"与操作："<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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And1(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Use SSE: "<<dTime<<"毫秒"<<endl;
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t.Reset();
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for (int i=0; i<COUNTSIZE; i++)
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{
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And2(Array, ARRAYCOUNT, 1000.0f);
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}
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dTime = t.End();
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cout<<"Not Use SSE: "<<dTime<<"毫秒"<<endl;
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system("pause");
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return 0;
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}
文章来源: blog.csdn.net，作者：网奇，版权归原作者所有，如需转载，请联系作者。
原文链接：blog.csdn.net/jacke121/article/details/54706022
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