void poisson_kernel_error_c_wrapper(double *p_a0, double *p_a1, double *p_a2, int x_size, int y_size) { double p_a2_0 = p_a2[0]; #ifdef OPS_GPU #pragma acc parallel deviceptr(p_a0, p_a1) reduction(+ : p_a2_0) #pragma acc loop reduction(+ : p_a2_0) #endif for (int n_y = 0; n_y < y_size; n_y++) { #ifdef OPS_GPU #pragma acc loop reduction(+ : p_a2_0) #endif for (int n_x = 0; n_x < x_size; n_x++) { poisson_kernel_error( p_a0 + n_x * 1 * 1 + n_y * xdim0_poisson_kernel_error * 1 * 1, p_a1 + n_x * 1 * 1 + n_y * xdim1_poisson_kernel_error * 1 * 1, &p_a2_0); } } p_a2[0] = p_a2_0; }
// host stub function void ops_par_loop_poisson_kernel_error(char const *name, ops_block block, int dim, int* range, ops_arg arg0, ops_arg arg1, ops_arg arg2) { //Timing double t1,t2,c1,c2; ops_timers_core(&c1,&t1); int offs[3][2]; ops_arg args[3] = { arg0, arg1, arg2}; ops_timing_realloc(4,"poisson_kernel_error"); OPS_kernels[4].count++; //compute locally allocated range for the sub-block int start[2]; int end[2]; #ifdef OPS_MPI sub_block_list sb = OPS_sub_block_list[block->index]; if (!sb->owned) return; for ( int n=0; n<2; n++ ){ start[n] = sb->decomp_disp[n];end[n] = sb->decomp_disp[n]+sb->decomp_size[n]; if (start[n] >= range[2*n]) { start[n] = 0; } else { start[n] = range[2*n] - start[n]; } if (sb->id_m[n]==MPI_PROC_NULL && range[2*n] < 0) start[n] = range[2*n]; if (end[n] >= range[2*n+1]) { end[n] = range[2*n+1] - sb->decomp_disp[n]; } else { end[n] = sb->decomp_size[n]; } if (sb->id_p[n]==MPI_PROC_NULL && (range[2*n+1] > sb->decomp_disp[n]+sb->decomp_size[n])) end[n] += (range[2*n+1]-sb->decomp_disp[n]-sb->decomp_size[n]); } #else //OPS_MPI for ( int n=0; n<2; n++ ){ start[n] = range[2*n];end[n] = range[2*n+1]; } #endif //OPS_MPI #ifdef OPS_DEBUG ops_register_args(args, "poisson_kernel_error"); #endif offs[0][0] = args[0].stencil->stride[0]*1; //unit step in x dimension offs[0][1] = off2D(1, &start[0], &end[0],args[0].dat->size, args[0].stencil->stride) - offs[0][0]; offs[1][0] = args[1].stencil->stride[0]*1; //unit step in x dimension offs[1][1] = off2D(1, &start[0], &end[0],args[1].dat->size, args[1].stencil->stride) - offs[1][0]; int off0_0 = offs[0][0]; int off0_1 = offs[0][1]; int dat0 = args[0].dat->elem_size; int off1_0 = offs[1][0]; int off1_1 = offs[1][1]; int dat1 = args[1].dat->elem_size; #ifdef OPS_MPI double *arg2h = (double *)(((ops_reduction)args[2].data)->data + ((ops_reduction)args[2].data)->size * block->index); #else //OPS_MPI double *arg2h = (double *)(((ops_reduction)args[2].data)->data); #endif //OPS_MPI #ifdef _OPENMP int nthreads = omp_get_max_threads( ); #else int nthreads = 1; #endif //allocate and initialise arrays for global reduction //assumes a max of MAX_REDUCT_THREADS threads with a cacche line size of 64 bytes double arg_gbl2[MAX(1 , 64) * MAX_REDUCT_THREADS]; for ( int thr=0; thr<nthreads; thr++ ){ for ( int d=0; d<1; d++ ){ arg_gbl2[d+64*thr] = ZERO_double; } } xdim0 = args[0].dat->size[0]*args[0].dat->dim; xdim1 = args[1].dat->size[0]*args[1].dat->dim; ops_H_D_exchanges_host(args, 3); //Halo Exchanges ops_halo_exchanges(args,3,range); ops_timers_core(&c2,&t2); OPS_kernels[4].mpi_time += t2-t1; #pragma omp parallel for for ( int thr=0; thr<nthreads; thr++ ){ int y_size = end[1]-start[1]; char *p_a[3]; int start_i = start[1] + ((y_size-1)/nthreads+1)*thr; int finish_i = start[1] + MIN(((y_size-1)/nthreads+1)*(thr+1),y_size); //get address per thread int start0 = start[0]; int start1 = start_i; //set up initial pointers int d_m[OPS_MAX_DIM]; #ifdef OPS_MPI for (int d = 0; d < dim; d++) d_m[d] = args[0].dat->d_m[d] + OPS_sub_dat_list[args[0].dat->index]->d_im[d]; #else //OPS_MPI for (int d = 0; d < dim; d++) d_m[d] = args[0].dat->d_m[d]; #endif //OPS_MPI int base0 = dat0 * 1 * (start0 * args[0].stencil->stride[0] - args[0].dat->base[0] - d_m[0]); base0 = base0+ dat0 * args[0].dat->size[0] * (start1 * args[0].stencil->stride[1] - args[0].dat->base[1] - d_m[1]); p_a[0] = (char *)args[0].data + base0; #ifdef OPS_MPI for (int d = 0; d < dim; d++) d_m[d] = args[1].dat->d_m[d] + OPS_sub_dat_list[args[1].dat->index]->d_im[d]; #else //OPS_MPI for (int d = 0; d < dim; d++) d_m[d] = args[1].dat->d_m[d]; #endif //OPS_MPI int base1 = dat1 * 1 * (start0 * args[1].stencil->stride[0] - args[1].dat->base[0] - d_m[0]); base1 = base1+ dat1 * args[1].dat->size[0] * (start1 * args[1].stencil->stride[1] - args[1].dat->base[1] - d_m[1]); p_a[1] = (char *)args[1].data + base1; p_a[2] = (char *)arg2h; for ( int n_y=start_i; n_y<finish_i; n_y++ ){ for ( int n_x=start[0]; n_x<start[0]+(end[0]-start[0])/SIMD_VEC; n_x++ ){ //call kernel function, passing in pointers to data -vectorised for ( int i=0; i<SIMD_VEC; i++ ){ poisson_kernel_error( (const double * )p_a[0]+ i*1, (const double * )p_a[1]+ i*1, &arg_gbl2[64*thr] ); } //shift pointers to data x direction p_a[0]= p_a[0] + (dat0 * off0_0)*SIMD_VEC; p_a[1]= p_a[1] + (dat1 * off1_0)*SIMD_VEC; } for ( int n_x=start[0]+((end[0]-start[0])/SIMD_VEC)*SIMD_VEC; n_x<end[0]; n_x++ ){ //call kernel function, passing in pointers to data - remainder poisson_kernel_error( (const double * )p_a[0], (const double * )p_a[1], &arg_gbl2[64*thr] ); //shift pointers to data x direction p_a[0]= p_a[0] + (dat0 * off0_0); p_a[1]= p_a[1] + (dat1 * off1_0); } //shift pointers to data y direction p_a[0]= p_a[0] + (dat0 * off0_1); p_a[1]= p_a[1] + (dat1 * off1_1); } } ops_timers_core(&c1,&t1); OPS_kernels[4].time += t1-t2; // combine reduction data for ( int thr=0; thr<nthreads; thr++ ){ for ( int d=0; d<1; d++ ){ arg2h[d] += arg_gbl2[64*thr+d]; } } ops_set_dirtybit_host(args, 3); //Update kernel record ops_timers_core(&c2,&t2); OPS_kernels[4].mpi_time += t2-t1; OPS_kernels[4].transfer += ops_compute_transfer(dim, range, &arg0); OPS_kernels[4].transfer += ops_compute_transfer(dim, range, &arg1); }