1 | #include <itpp/itbase.h> |
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2 | |
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3 | using namespace itpp; |
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4 | |
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5 | //These lines are needed for use of cout and endl |
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6 | using std::cout; |
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7 | using std::endl; |
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8 | |
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9 | //#define NDEBUG |
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10 | |
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11 | mat matmul ( mat &A, mat &B ) { |
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12 | mat C ( A.rows(),B.cols() ); |
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13 | int i,j,k; |
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14 | double sum; |
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15 | |
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16 | for ( i=0;i<A.rows();i++ ) { |
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17 | for ( j=0;j<A.cols();j++ ) { |
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18 | sum = 0.0; |
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19 | for ( k=0;k<A.cols();k++ ) { |
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20 | sum+=A._elem ( i,k ) *B._elem ( k,j ); |
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21 | } |
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22 | C ( i,j ) = sum; |
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23 | } |
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24 | } |
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25 | return C; |
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26 | } |
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27 | |
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28 | void matmul2 ( int n, double *A, double *B, double *C ) { |
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29 | int i,j,k; |
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30 | double sum; |
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31 | |
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32 | for ( i=0;i<n;i++ ) { |
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33 | for ( j=0;j<n;j++ ) { |
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34 | sum = 0.0; |
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35 | for ( k=0;k<n;k++ ) { |
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36 | sum+=A [ i*n+k ] * B [ k*n+j ]; |
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37 | } |
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38 | C[ i*n+j] = sum; |
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39 | } |
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40 | } |
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41 | // return C; |
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42 | } |
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43 | |
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44 | int main() { |
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45 | Real_Timer tt; |
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46 | vec exec_times ( 4 ); |
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47 | vec exec_times_b ( 4 ); |
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48 | vec exec_times_c ( 4 ); |
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49 | |
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50 | mat A; |
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51 | mat B; |
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52 | mat C; |
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53 | |
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54 | vec vn="5 50 200 500"; |
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55 | int n; |
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56 | |
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57 | for ( int i=0;i<vn.length();i++ ) { |
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58 | n = vn ( i ); |
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59 | A = randu ( n,n ); |
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60 | B = randu ( n,n ); |
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61 | |
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62 | tt.tic(); |
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63 | for ( int ii=0;ii<10;ii++ ) {C = matmul ( A,B );} |
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64 | exec_times ( i ) =tt.toc(); |
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65 | |
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66 | tt.tic(); |
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67 | for ( int ii=0;ii<10;ii++ ) {C = A*B;} |
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68 | exec_times_b ( i ) =tt.toc(); |
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69 | |
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70 | C = zeros(n,n); |
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71 | tt.tic(); |
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72 | for ( int ii=0;ii<10;ii++ ) { matmul2(n,A._data(),B._data(),C._data());} |
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73 | exec_times_c ( i ) =tt.toc(); |
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74 | } |
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75 | cout << exec_times <<endl; |
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76 | cout << exec_times_b <<endl; |
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77 | cout << exec_times_c <<endl; |
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78 | |
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79 | it_file itf ( "blas_test.it" ); |
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80 | itf << Name ( "exec_times" ) <<exec_times; |
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81 | itf << Name ( "exec_times_b" ) <<exec_times_b; |
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82 | itf << Name ( "exec_times_c" ) <<exec_times_c; |
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83 | |
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84 | return 0; |
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85 | } |
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