Red Hat ENTERPRISE LINUX 4 - DEVELOPER TOOLS GUIDE Informations techniques télécharger pdf (Page 23)

Intel® Xeon Phi™ Coprocessor DEVELOPER’S QUICK START GUIDE

}

return ret;

}

Code Example 5: C/C++: Using OpenMP in Offloaded Reduction Code

real function FTNReductionOMP(data, size)

implicit none

integer :: size

real, dimension(size) :: data

real :: ret = 0.0

!dir$ omp offload target(mic) in(size) in(data:length(size))

!$omp parallel do reduction(+:ret)

do i=1,size

ret = ret + data(i)

enddo

!$omp end parallel do

FTNReductionOMP = ret

return

end function FTNReductionOMP

Code Example 6: Fortran: Using OpenMP* in Offloaded Reduction Code

Parallel Programming on the Intel® Xeon Phi™ Coprocessor: OpenMP* + Intel® Cilk™ Plus

Extended Array Notation

The following code sample further extends the OpenMP example to use Intel Cilk Plus Extended Array

Notation. In the following code sample, each thread uses the Intel Cilk Plus Extended Array Notation

__sec_reduce_add() built-in reduction function to use all 32 of the Intel® MIC Architecture’s 512-bit vector

registers to reduce the elements in the array.

float OMPnthreads_CilkPlusEAN_reduction(float *data, int size)

{

float ret=0;

#pragma offload target(mic) in(data:length(size))

{

int nthreads = omp_get_max_threads();

int ElementsPerThread = size/nthreads;

#pragma omp parallel for reduction(+:ret)

for(int i=0;i<nthreads;i++)

{

ret =_sec_reduce_add(

data[i*ElementsPerThread:ElementsPerThread]);

}

//rest of the array

for(int i=nthreads*ElementsPerThread; i<size; i++)

{

ret+=data[i];

}

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Red Hat ENTERPRISE LINUX 4 - DEVELOPER TOOLS GUIDE Informations techniques Page 23

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