## Measuring Performance with oneMKL Support Functions

oneMKL provides functions to measure performance. This provides a way of quantifying the performance improvement resulting from using oneMKL routines in this tutorial.

### Measure Performance of dgemm

Use the `dsecnd` routine to return the elapsed CPU time in seconds.

The quick execution of the `dgemm` routine makes it difficult to measure its speed, even for an operation on a large matrix. For this reason, the exercises perform the multiplication multiple times. You should set the value of the `LOOP_COUNT` constant so that the total execution time is about one second.

* Fortran source code is found in dgemm_with_timing.f PRINT *, "Making the first run of matrix product using " PRINT *, "Intel(R) MKL DGEMM subroutine to get stable " PRINT *, "run time measurements" PRINT *, "" CALL DGEMM('N','N',M,N,K,ALPHA,A,M,B,K,BETA,C,M) PRINT *, "Measuring performance of matrix product using " PRINT *, "Intel(R) MKL DGEMM subroutine" PRINT *, "" S_INITIAL = DSECND() DO R = 1, LOOP_COUNT CALL DGEMM('N','N',M,N,K,ALPHA,A,M,B,K,BETA,C,M) END DO S_ELAPSED = (DSECND() - S_INITIAL) / LOOP_COUNT PRINT *, "== Matrix multiplication using Intel(R) MKL DGEMM ==" PRINT 50, " == completed at ",S_ELAPSED*1000," milliseconds ==" 50 FORMAT(A,F12.5,A) PRINT *, ""

### Measure Performance Without Using dgemm

In order to show the improvement resulting from using `dgemm`, perform the same measurement, but use a triply-nested loop to multiply the matrices.

* Fortran source code is found in matrix_multiplication.f PRINT *, "Making the first run of matrix product using " PRINT *, "triple nested loop to get stable run time" PRINT *, "measurements" PRINT *, "" DO I = 1, M DO J = 1, N TEMP = 0.0 DO L = 1, K TEMP = TEMP + A(I,L) * B(L,J) END DO C(I,J) = TEMP END DO END DO PRINT *, "Measuring performance of matrix product using " PRINT *, "triple nested loop" PRINT *, "" S_INITIAL = DSECND() DO R = 1, LOOP_COUNT DO I = 1, M DO J = 1, N TEMP = 0.0 DO L = 1, K TEMP = TEMP + A(I,L) * B(L,J) END DO C(I,J) = TEMP END DO END DO END DO S_ELAPSED = (DSECND() - S_INITIAL) / LOOP_COUNT PRINT *, "== Matrix multiplication using triple nested loop ==" PRINT 50, " == completed at ",S_ELAPSED*1000," milliseconds ==" 50 FORMAT(A,F12.5,A) PRINT *, ""

Compare the results in the first exercise using `dgemm` to the results of the second exercise without using `dgemm`.

You can find more information about measuring oneMKL performance from the article "A simple example to measure the performance of an oneMKL function" in the Intel® oneAPI Math Kernel Library Knowledge Base.

Product and Performance Information |
---|

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex. Notice revision #20201201 |

### See Also

Did you find the information on this page useful?

Characters remaining: