xmmintrin.h文件报错#ifndef a #define a #include "student.h" #include <iostream> #endif using namespace std; int main(){ student s1; s1.scoretotalcount(100); student s2; s2.scoretotalcount(90); student s3; s3.scoretotalcount(80); student s4; s4.scoretotalcount(95); student s5; s5.scoretotalcount(85); student s6; s6.scoretotalcount(100); cout << "the total score :" << student::sum()<<endl; cout << " the average score of the class:" << student::average() << endl; }#ifndef a #define a #include "student.h" #include <iostream> #endif using namespace std; void student::scoretotalcount(double s){ score = s; count++; total = total + score; cout << "the student" << count << "'s score=" << score << endl << "total score=" << total <<endl<< "th number of student:" << count<<endl; }class student{ double score; static int count; static double total; public: void scoretotalcount(double s); static double sum(){ return total; } static double average(){ return total/count;} }; int student::count = 0; double student::total = 0;

时间: 2024-01-05 08:02:54 浏览: 31
这段代码存在一些问题: 1. `xmmintrin.h`头文件是SSE指令集的头文件,应该与这段代码无关,可能是你在其他地方使用了SSE指令集但没有包含这个头文件。 2. `student`类的定义应该放在`main`函数之前,因为`main`函数中用到了`student`类。 3. `#ifndef a #define a ... #endif` 这段代码似乎没有意义,可以直接删掉。 下面是修改后的代码: ```cpp #include <iostream> using namespace std; class student{ double score; static int count; static double total; public: void scoretotalcount(double s); static double sum(){ return total; } static double average(){ return total/count; } }; int student::count = 0; double student::total = 0; void student::scoretotalcount(double s){ score = s; count++; total = total + score; cout << "the student " << count << "'s score=" << score << endl << "total score=" << total <<endl<< "the number of student:" << count<<endl; } int main(){ student s1; s1.scoretotalcount(100); student s2; s2.scoretotalcount(90); student s3; s3.scoretotalcount(80); student s4; s4.scoretotalcount(95); student s5; s5.scoretotalcount(85); student s6; s6.scoretotalcount(100); cout << "the total score :" << student::sum()<<endl; cout << "the average score of the class:" << student::average() << endl; return 0; } ```

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分析一下这段代码:#include "stdio.h" #include<xmmintrin.h> //Need this for SSE compiler intrinsics #include<math.h> //Needed for sqrt in CPU-only version #include<time.h> int main(int argc,char *argv[]) { printf("Starting calculation...\n"); const int length=64000; //We will be calculating Y=SQRT(x)/x, for x=1->64000 //If you do not properly align your data for SSE instructions, you may take a huge performance hit. float *pResult=(float *)_aligned_malloc(length*sizeof(float),16); //align to 16-byte for SSE __m128 x; __m128 xDelta=_mm_set1_ps(4.0f); //Set the xDelta to (4,4,4,4) __m128 *pResultSSE=(__m128 *)pResult; const int SSELength=length/4; clock_t clock1=clock(); #define TIME_SSE //Define this if you want to run with SSE #ifdef TIME_SSE //lots of stress loops so we can easily use a stopwatch for(int stress=0;stress<1000;stress++) { //Set the initial values of x to (4,3,2,1) x=_mm_set_ps(4.0f,3.0f,2.0f,1.0f); for(int i=0; i<SSELength; i++) { __m128 xSqrt=_mm_sqrt_ps(x); //Note! Division is slow. It's actually faster to take the reciprocal of a number and multiply //Also note that Division is more accurate than taking the reciprocal and multiplying #define USE_DIVISION_METHOD #ifdef USE_FAST_METHOD _m128 xRecip=_mm_rcp_ps(x); pResultSSE[i]=_mm_mul_ps(xRecip,xSqrt); #endif //USE_FAST_METHOD #ifdef USE_DIVISION_METHOD pResultSSE[i]=_mm_div_ps(xSqrt,x); #endif //USE_DIVISION_METHOD //Advance x to the next set of numbers x=_mm_add_ps(x,xDelta); } } clock_t clock2=clock(); printf("SIMDtime:%d ms\n",1000*(clock2-clock1)/CLOCKS_PER_SEC); #endif //TIME_SSE #define TIME_noSSE #ifdef TIME_noSSE clock_t clock3=clock(); //lots of stress loops so we can easily use a stopwatch for(int stress=0;stress<1000;stress++) { clock_t clock3=clock(); float xFloat=1.0f; for(int i=0;i<length;i++) { //Even though division is slow,there are no intrinsic functions like there are in SSE pResult[i]=sqrt(xFloat)/xFloat; xFloat+=1.0f; } } clock_t clock4=clock(); printf("noSIMDtime:%d ms\n",1000*(clock4-clock3)/CLOCKS_PER_SEC); #endif //TIME_noSSE return 0; }

给出下列代码在OpenCL中的运行结果:#include "stdio.h" #include <xmmintrin.h> // Need this for SSE compiler intrinsics #include <math.h> // Needed for sqrt in CPU-only version #include <time.h> int main(int argc, char* argv[]) { printf("Starting calculation...\n"); const int length = 64000; // We will be calculating Y = SQRT(x) / x, for x = 1->64000 // If you do not properly align your data for SSE instructions, you may take a huge performance hit. float *pResult = (float*) _aligned_malloc(length * sizeof(float), 16); // align to 16-byte for SSE __m128 x; __m128 xDelta = _mm_set1_ps(4.0f); // Set the xDelta to (4,4,4,4) __m128 *pResultSSE = (__m128*) pResult; const int SSELength = length / 4; clock_t clock1=clock(); #define TIME_SSE // Define this if you want to run with SSE #ifdef TIME_SSE // lots of stress loops so we can easily use a stopwatch for (int stress = 0; stress < 1000; stress++) { // Set the initial values of x to (4,3,2,1) x = _mm_set_ps(4.0f, 3.0f, 2.0f, 1.0f); for (int i=0; i < SSELength; i++) { __m128 xSqrt = _mm_sqrt_ps(x); // Note! Division is slow. It's actually faster to take the reciprocal of a number and multiply // Also note that Division is more accurate than taking the reciprocal and multiplying #define USE_DIVISION_METHOD #ifdef USE_FAST_METHOD __m128 xRecip = _mm_rcp_ps(x); pResultSSE[i] = _mm_mul_ps(xRecip, xSqrt); #endif //USE_FAST_METHOD #ifdef USE_DIVISION_METHOD pResultSSE[i] = _mm_div_ps(xSqrt, x); #endif // USE_DIVISION_METHOD // Advance x to the next set of numbers x = _mm_add_ps(x, xDelta); } } clock_t clock2=clock(); printf("SIMDtime:%d ms\n",1000*(clock2-clock1)/CLOCKS_PER_SEC); #endif // TIME_SSE #define TIME_NoSSE #ifdef TIME_NoSSE clock_t clock3=clock(); // lots of stress loops so we can easily use a stopwatch for (int stress = 0; stress < 1000; stress++) { clock_t clock3=clock(); float xFloat = 1.0f; for (int i=0 ; i < length; i++) { // Even though division is slow, there are no intrinsic functions like there are in SSE pResult[i] = sqrt(xFloat) / xFloat; xFloat += 1.0f; } } clock_t clock4=clock(); printf("noSIMDtime:%d ms\n",1000*(clock4-clock3)/CLOCKS_PER_SEC); #endif // TIME_noSSE return 0; }   

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