我尝试使用g++编译Intel MKL 11.1。
错误信息如下:
原来没问题,我也不明白这里有什么区别。
以下是我的测试代码。
g++ -m32 test.c -lmkl_intel -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm
错误信息如下:
该错误提示:
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `logf'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `atan2'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `sin'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `fabs'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `exp'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `cos'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `sqrt'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_intel_thread.so: undefined reference to `log'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `pow'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `log10'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `ceil'
/opt/intel/composer_xe_2013_sp1.0.080/mkl/lib/ia32/libmkl_core.so: undefined reference to `expf'
但是,如果我使用以下方式编译:
g++ -m32 test.c -lmkl_intel -lmkl_intel_thread -lmkl_core -lm -liomp5 -lpthread -lm
不会出现错误。顺便说一下,我不明白为什么在-lmkl_core后面添加-lm会有帮助。
gcc -m32 test.c -lmkl_intel -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm
原来没问题,我也不明白这里有什么区别。
以下是我的测试代码。
/* C source code is found in dgemm_example.c */
#define min(x,y) (((x) < (y)) ? (x) : (y))
#include <stdio.h>
#include <stdlib.h>
#include "mkl.h"
int main()
{
double *A, *B, *C;
int m, n, k, i, j;
double alpha, beta;
printf ("\n This example computes real matrix C=alpha*A*B+beta*C using \n"
" Intel(R) MKL function dgemm, where A, B, and C are matrices and \n"
" alpha and beta are double precision scalars\n\n");
m = 2000, k = 200, n = 1000;
printf (" Initializing data for matrix multiplication C=A*B for matrix \n"
" A(%ix%i) and matrix B(%ix%i)\n\n", m, k, k, n);
alpha = 1.0; beta = 0.0;
printf (" Allocating memory for matrices aligned on 64-byte boundary for better \n"
" performance \n\n");
A = (double *)mkl_malloc( m*k*sizeof( double ), 64 );
B = (double *)mkl_malloc( k*n*sizeof( double ), 64 );
C = (double *)mkl_malloc( m*n*sizeof( double ), 64 );
if (A == NULL || B == NULL || C == NULL) {
printf( "\n ERROR: Can't allocate memory for matrices. Aborting... \n\n");
mkl_free(A);
mkl_free(B);
mkl_free(C);
return 1;
}
printf (" Intializing matrix data \n\n");
for (i = 0; i < (m*k); i++) {
A[i] = (double)(i+1);
}
for (i = 0; i < (k*n); i++) {
B[i] = (double)(-i-1);
}
for (i = 0; i < (m*n); i++) {
C[i] = 0.0;
}
printf (" Computing matrix product using Intel(R) MKL dgemm function via CBLAS interface \n\n");
cblas_dgemm(CblasRowMajor, CblasNoTrans, CblasNoTrans,
m, n, k, alpha, A, k, B, n, beta, C, n);
printf ("\n Computations completed.\n\n");
printf (" Top left corner of matrix A: \n");
for (i=0; i<min(m,6); i++) {
for (j=0; j<min(k,6); j++) {
printf ("%12.0f", A[j+i*k]);
}
printf ("\n");
}
printf ("\n Top left corner of matrix B: \n");
for (i=0; i<min(k,6); i++) {
for (j=0; j<min(n,6); j++) {
printf ("%12.0f", B[j+i*n]);
}
printf ("\n");
}
printf ("\n Top left corner of matrix C: \n");
for (i=0; i<min(m,6); i++) {
for (j=0; j<min(n,6); j++) {
printf ("%12.5G", C[j+i*n]);
}
printf ("\n");
}
printf ("\n Deallocating memory \n\n");
mkl_free(A);
mkl_free(B);
mkl_free(C);
printf (" Example completed. \n\n");
return 0;
}