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git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@6262 f3b2605a-c512-4ea7-a41b-209d697bcdaa

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sjplimp
2011-05-31 21:09:51 +00:00
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lib/cuda/fft3d_cuda_kernel.cu Normal file
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/* ----------------------------------------------------------------------
LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
Original Version:
http://lammps.sandia.gov, Sandia National Laboratories
Steve Plimpton, sjplimp@sandia.gov
See the README file in the top-level LAMMPS directory.
-----------------------------------------------------------------------
USER-CUDA Package and associated modifications:
https://sourceforge.net/projects/lammpscuda/
Christian Trott, christian.trott@tu-ilmenau.de
Lars Winterfeld, lars.winterfeld@tu-ilmenau.de
Theoretical Physics II, University of Technology Ilmenau, Germany
See the README file in the USER-CUDA directory.
This software is distributed under the GNU General Public License.
------------------------------------------------------------------------- */
__global__ void initfftdata_kernel(double* in,FFT_FLOAT* out)
{
out[2*(((blockIdx.x*gridDim.y+blockIdx.y)*blockDim.x)+threadIdx.x)]=in[((blockIdx.x*gridDim.y+blockIdx.y)*blockDim.x)+threadIdx.x];
out[2*(((blockIdx.x*gridDim.y+blockIdx.y)*blockDim.x)+threadIdx.x)+1]=0;
}
__global__ void permute_kernel(FFT_FLOAT* in,FFT_FLOAT* out)
{
out[2*(((threadIdx.x/2)*gridDim.x+blockIdx.x)*gridDim.y+blockIdx.y)+threadIdx.x-2*(threadIdx.x/2)]=in[((blockIdx.x*gridDim.y+blockIdx.y)*blockDim.x)+threadIdx.x];
}
__global__ void permute_scale_kernel(FFT_FLOAT* in,FFT_FLOAT* out)
{
out[2*(((threadIdx.x/2)*gridDim.x+blockIdx.x)*gridDim.y+blockIdx.y)+threadIdx.x-2*(threadIdx.x/2)]=in[((blockIdx.x*gridDim.y+blockIdx.y)*blockDim.x)+threadIdx.x]*gridDim.x*gridDim.y*blockDim.x*0.5;
}
__global__ void permute_part_kernel(FFT_FLOAT* in,FFT_FLOAT* out,int nfast,int nmid,int nslow,int ihi,int ilo,int jhi,int jlo,int khi,int klo)
{
{out[2*((threadIdx.x/2)*(ihi-ilo+1)*(jhi-jlo+1)+(blockIdx.x)*(jhi-jlo+1)+blockIdx.y-jlo)+threadIdx.x-2*(threadIdx.x/2)]=in[2*(blockIdx.x+ilo)*nmid*nslow+2*(blockIdx.y+jlo)*nmid+threadIdx.x+2*klo]; }
}