// host stub function
void ops_par_loop_calc_dt_kernel_get(char const *name, ops_block block, int dim, int* range,
ops_arg arg0, ops_arg arg1, ops_arg arg2, ops_arg arg3) {
ops_arg args[4] = { arg0, arg1, arg2, arg3};
#ifdef CHECKPOINTING
if (!ops_checkpointing_before(args,4,range,29)) return;
#endif
ops_timing_realloc(29,"calc_dt_kernel_get");
OPS_kernels[29].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
int x_size = MAX(0,end[0]-start[0]);
int y_size = MAX(0,end[1]-start[1]);
int xdim0 = args[0].dat->size[0]*args[0].dat->dim;
int xdim1 = args[1].dat->size[0]*args[1].dat->dim;
//build opencl kernel if not already built
buildOpenCLKernels_calc_dt_kernel_get(
xdim0,xdim1);
//Timing
double t1,t2,c1,c2;
ops_timers_core(&c2,&t2);
//set up OpenCL thread blocks
size_t globalWorkSize[3] = {((x_size-1)/OPS_block_size_x+ 1)*OPS_block_size_x, ((y_size-1)/OPS_block_size_y + 1)*OPS_block_size_y, 1};
size_t localWorkSize[3] = {OPS_block_size_x,OPS_block_size_y,1};
#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 OPS_MPI
double *arg3h = (double *)(((ops_reduction)args[3].data)->data + ((ops_reduction)args[3].data)->size * block->index);
#else //OPS_MPI
double *arg3h = (double *)(((ops_reduction)args[3].data)->data);
#endif //OPS_MPI
int nblocks = ((x_size-1)/OPS_block_size_x+ 1)*((y_size-1)/OPS_block_size_y + 1);
int maxblocks = nblocks;
int reduct_bytes = 0;
reduct_bytes += ROUND_UP(maxblocks*1*sizeof(double));
reduct_bytes += ROUND_UP(maxblocks*1*sizeof(double));
reallocReductArrays(reduct_bytes);
reduct_bytes = 0;
int r_bytes2 = reduct_bytes/sizeof(double);
arg2.data = OPS_reduct_h + reduct_bytes;
arg2.data_d = OPS_reduct_d;// + reduct_bytes;
for (int b=0; b<maxblocks; b++)
for (int d=0; d<1; d++) ((double *)arg2.data)[d+b*1] = ZERO_double;
reduct_bytes += ROUND_UP(maxblocks*1*sizeof(double));
int r_bytes3 = reduct_bytes/sizeof(double);
arg3.data = OPS_reduct_h + reduct_bytes;
arg3.data_d = OPS_reduct_d;// + reduct_bytes;
for (int b=0; b<maxblocks; b++)
for (int d=0; d<1; d++) ((double *)arg3.data)[d+b*1] = ZERO_double;
reduct_bytes += ROUND_UP(maxblocks*1*sizeof(double));
mvReductArraysToDevice(reduct_bytes);
int dat0 = args[0].dat->elem_size;
int dat1 = args[1].dat->elem_size;
//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 = 1 *
(start[0] * args[0].stencil->stride[0] - args[0].dat->base[0] - d_m[0]);
base0 = base0 + args[0].dat->size[0] *
(start[1] * args[0].stencil->stride[1] - args[0].dat->base[1] - d_m[1]);
#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 = 1 *
(start[0] * args[1].stencil->stride[0] - args[1].dat->base[0] - d_m[0]);
base1 = base1 + args[1].dat->size[0] *
(start[1] * args[1].stencil->stride[1] - args[1].dat->base[1] - d_m[1]);
ops_H_D_exchanges_device(args, 4);
ops_halo_exchanges(args,4,range);
ops_H_D_exchanges_device(args, 4);
ops_timers_core(&c1,&t1);
OPS_kernels[29].mpi_time += t1-t2;
int nthread = OPS_block_size_x*OPS_block_size_y;
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 0, sizeof(cl_mem), (void*) &arg0.data_d ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 1, sizeof(cl_mem), (void*) &arg1.data_d ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 2, sizeof(cl_mem), (void*) &arg2.data_d ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 3, nthread*sizeof(double), NULL));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 4, sizeof(cl_int), (void*) &r_bytes2 ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 5, sizeof(cl_mem), (void*) &arg3.data_d ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 6, nthread*sizeof(double), NULL));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 7, sizeof(cl_int), (void*) &r_bytes3 ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 8, sizeof(cl_int), (void*) &base0 ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 9, sizeof(cl_int), (void*) &base1 ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 10, sizeof(cl_int), (void*) &x_size ));
clSafeCall( clSetKernelArg(OPS_opencl_core.kernel[29], 11, sizeof(cl_int), (void*) &y_size ));
//call/enque opencl kernel wrapper function
clSafeCall( clEnqueueNDRangeKernel(OPS_opencl_core.command_queue, OPS_opencl_core.kernel[29], 3, NULL, globalWorkSize, localWorkSize, 0, NULL, NULL) );
if (OPS_diags>1) {
clSafeCall( clFinish(OPS_opencl_core.command_queue) );
}
mvReductArraysToHost(reduct_bytes);
for ( int b=0; b<maxblocks; b++ ){
for ( int d=0; d<1; d++ ){
arg2h[d] = arg2h[d] + ((double *)arg2.data)[d+b*1];
}
}
arg2.data = (char *)arg2h;
for ( int b=0; b<maxblocks; b++ ){
for ( int d=0; d<1; d++ ){
arg3h[d] = arg3h[d] + ((double *)arg3.data)[d+b*1];
}
}
arg3.data = (char *)arg3h;
ops_set_dirtybit_device(args, 4);
//Update kernel record
ops_timers_core(&c2,&t2);
OPS_kernels[29].time += t2-t1;
OPS_kernels[29].transfer += ops_compute_transfer(dim, range, &arg0);
OPS_kernels[29].transfer += ops_compute_transfer(dim, range, &arg1);
}
void update_host(const char *userSubroutine,op_set set,op_arg opDat1,op_arg opDat2,op_arg opDat3,op_arg opDat4,op_arg opDat5)
{
size_t blocksPerGrid;
size_t threadsPerBlock;
size_t totalThreadNumber;
size_t dynamicSharedMemorySize;
cl_int errorCode;
cl_event event;
cl_kernel kernelPointer;
int sharedMemoryOffset;
int i1;
int i2;
int reductionBytes;
int reductionSharedMemorySize;
float *reductionArrayHost5;
blocksPerGrid = 200;
threadsPerBlock = threadsPerBlockSize_update;
totalThreadNumber = threadsPerBlock * blocksPerGrid;
dynamicSharedMemorySize = 0;
dynamicSharedMemorySize = MAX(dynamicSharedMemorySize,sizeof(float ) * 4);
dynamicSharedMemorySize = MAX(dynamicSharedMemorySize,sizeof(float ) * 4);
dynamicSharedMemorySize = MAX(dynamicSharedMemorySize,sizeof(float ) * 4);
dynamicSharedMemorySize = MAX(dynamicSharedMemorySize,sizeof(float ) * 4);
sharedMemoryOffset = dynamicSharedMemorySize * OP_WARPSIZE;
dynamicSharedMemorySize = dynamicSharedMemorySize * threadsPerBlock;
reductionBytes = 0;
reductionSharedMemorySize = 0;
reductionArrayHost5 = ((float *)opDat5.data);
reductionBytes += ROUND_UP(blocksPerGrid * sizeof(float ) * 1);
reductionSharedMemorySize = MAX(reductionSharedMemorySize,sizeof(float ));
reallocReductArrays(reductionBytes);
reductionBytes = 0;
opDat5.data = OP_reduct_h + reductionBytes;
opDat5.data_d = ((char *)OP_reduct_d) + reductionBytes;
for (i1 = 0; i1 < blocksPerGrid; ++i1) {
for (i2 = 0; i2 < 1; ++i2) {
((float *)opDat5.data)[i2 + i1 * 1] = 0.00000F;
}
}
reductionBytes += ROUND_UP(blocksPerGrid * sizeof(float ) * 1);
mvReductArraysToDevice(reductionBytes);
kernelPointer = getKernel("update_kernel");
errorCode = clSetKernelArg(kernelPointer,0,sizeof(cl_mem ),&opDat1.data_d);
errorCode = errorCode | clSetKernelArg(kernelPointer,1,sizeof(cl_mem ),&opDat2.data_d);
errorCode = errorCode | clSetKernelArg(kernelPointer,2,sizeof(cl_mem ),&opDat3.data_d);
errorCode = errorCode | clSetKernelArg(kernelPointer,3,sizeof(cl_mem ),&opDat4.data_d);
errorCode = errorCode | clSetKernelArg(kernelPointer,4,sizeof(cl_mem ),&opDat5.data_d);
errorCode = errorCode | clSetKernelArg(kernelPointer,5,sizeof(int ),&sharedMemoryOffset);
errorCode = errorCode | clSetKernelArg(kernelPointer,6,sizeof(int ),&set -> size);
errorCode = errorCode | clSetKernelArg(kernelPointer,7,dynamicSharedMemorySize,NULL);
assert_m(errorCode == CL_SUCCESS,"Error setting OpenCL kernel arguments");
errorCode = clEnqueueNDRangeKernel(cqCommandQueue,kernelPointer,1,NULL,&totalThreadNumber,&threadsPerBlock,0,NULL,&event);
assert_m(errorCode == CL_SUCCESS,"Error executing OpenCL kernel");
errorCode = clFinish(cqCommandQueue);
assert_m(errorCode == CL_SUCCESS,"Error completing device command queue");
mvReductArraysToHost(reductionBytes);
for (i1 = 0; i1 < blocksPerGrid; ++i1) {
for (i2 = 0; i2 < 1; ++i2) {
reductionArrayHost5[i2] += ((float *)opDat5.data)[i2 + i1 * 1];
}
}
}