/* ----------------------------------------------------------------------
   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.
------------------------------------------------------------------------- */

#include "cuda_precision.h"
//#define FFT_CUFFT
#define MY_PREFIX pppm
#include "cuda_shared.h"
#include "cuda_common.h"
#include "pppm_cuda_cu.h"
#include "cuda_runtime.h"
#include <stdio.h>

//#include "crm_cuda_utils.cu"
#define MIN(a,b) ((a) < (b) ? (a) : (b))
#define MAX(a,b) ((a) > (b) ? (a) : (b))

  __device__ __constant__ FFT_FLOAT* work1;
  __device__ __constant__ FFT_FLOAT* work2;
  __device__ __constant__ FFT_FLOAT* work3;
  __device__ __constant__ PPPM_FLOAT* greensfn;
  __device__ __constant__ PPPM_FLOAT* gf_b;
  __device__ __constant__ PPPM_FLOAT* fkx;
  __device__ __constant__ PPPM_FLOAT* fky;
  __device__ __constant__ PPPM_FLOAT* fkz;
  __device__ __constant__ PPPM_FLOAT* vg;
  __device__ __constant__ int* part2grid;
  __device__ __constant__ PPPM_FLOAT* density_brick;
  __device__ __constant__ int* density_brick_int;
  __device__ __constant__ PPPM_FLOAT density_intScale;
  __device__ __constant__ PPPM_FLOAT* vdx_brick;
  __device__ __constant__ PPPM_FLOAT* vdy_brick;
  __device__ __constant__ PPPM_FLOAT* vdz_brick;
  __device__ __constant__ PPPM_FLOAT* density_fft;
  __device__ __constant__ ENERGY_FLOAT* energy;
  __device__ __constant__ ENERGY_FLOAT* virial;
  __device__ __constant__ int nxlo_in;
  __device__ __constant__ int nxhi_in;
  __device__ __constant__ int nxlo_out;
  __device__ __constant__ int nxhi_out;
  __device__ __constant__ int nylo_in;
  __device__ __constant__ int nyhi_in;
  __device__ __constant__ int nylo_out;
  __device__ __constant__ int nyhi_out;
  __device__ __constant__ int nzlo_in;
  __device__ __constant__ int nzhi_in;
  __device__ __constant__ int nzlo_out;
  __device__ __constant__ int nzhi_out;
  __device__ __constant__ int nxlo_fft;
  __device__ __constant__ int nxhi_fft;
  __device__ __constant__ int nylo_fft;
  __device__ __constant__ int nyhi_fft;
  __device__ __constant__ int nzlo_fft;
  __device__ __constant__ int nzhi_fft;
  __device__ __constant__ int nx_pppm;
  __device__ __constant__ int ny_pppm;
  __device__ __constant__ int nz_pppm;
  __device__ __constant__ int slabflag;
  __device__ __constant__ PPPM_FLOAT qqrd2e;
  __device__ __constant__ int order;
  //__device__ __constant__ float3 sublo;
  __device__ __constant__ PPPM_FLOAT* rho_coeff;
  __device__ __constant__ int nmax;
  __device__ __constant__ int nlocal;
  __device__ __constant__ PPPM_FLOAT* debugdata;
  __device__ __constant__ PPPM_FLOAT delxinv;
  __device__ __constant__ PPPM_FLOAT delyinv;
  __device__ __constant__ PPPM_FLOAT delzinv;
  __device__ __constant__ int nlower;
  __device__ __constant__ int nupper;
  __device__ __constant__ PPPM_FLOAT shiftone;
  
  
#include "pppm_cuda_kernel.cu"
#include "stdio.h"
void pppm_device_init(void* cu_density_brick, void* cu_vdx_brick, void* cu_vdy_brick, void* cu_vdz_brick, void* cu_density_fft, void* cu_energy, void* cu_virial
	    ,void* cu_work1,void* cu_work2, void* cu_work3,void* cu_greensfn, void* cu_fkx, void* cu_fky, void* cu_fkz, void* cu_vg
	    ,int cu_nxlo_in,int cu_nxhi_in,int cu_nylo_in,int cu_nyhi_in,int cu_nzlo_in,int cu_nzhi_in,int cu_nxlo_out,int cu_nxhi_out,int cu_nylo_out,int cu_nyhi_out,int cu_nzlo_out,int cu_nzhi_out,int cu_nx_pppm,int cu_ny_pppm,int cu_nz_pppm
	    ,int cu_nxlo_fft,int cu_nxhi_fft,int cu_nylo_fft,int cu_nyhi_fft,int cu_nzlo_fft,int cu_nzhi_fft,void* cu_gf_b
	    ,double cu_qqrd2e, int cu_order, void* cu_rho_coeff,void* cu_debugdata,void* cu_density_brick_int,int cu_slabflag
	 )
{
  CUT_CHECK_ERROR("ERROR-CUDA poisson_init Start");
  cudaMemcpyToSymbol("density_brick",&cu_density_brick, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("density_brick_int",&cu_density_brick_int, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("vdx_brick",&cu_vdx_brick, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("vdy_brick",&cu_vdy_brick, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("vdz_brick",&cu_vdz_brick, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("density_fft",&cu_density_fft, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("energy",&cu_energy, sizeof(ENERGY_FLOAT*));
  cudaMemcpyToSymbol("virial",&cu_virial, sizeof(ENERGY_FLOAT*));
  cudaMemcpyToSymbol("nxlo_in",&cu_nxlo_in, sizeof(int));
  cudaMemcpyToSymbol("nxhi_in",&cu_nxhi_in, sizeof(int));
  cudaMemcpyToSymbol("nxlo_out",&cu_nxlo_out, sizeof(int));
  cudaMemcpyToSymbol("nxhi_out",&cu_nxhi_out, sizeof(int));
  cudaMemcpyToSymbol("nylo_in",&cu_nylo_in, sizeof(int));
  cudaMemcpyToSymbol("nyhi_in",&cu_nyhi_in, sizeof(int));
  cudaMemcpyToSymbol("nylo_out",&cu_nylo_out, sizeof(int));
  cudaMemcpyToSymbol("nyhi_out",&cu_nyhi_out, sizeof(int));
  cudaMemcpyToSymbol("nzlo_in",&cu_nzlo_in, sizeof(int));
  cudaMemcpyToSymbol("nzhi_in",&cu_nzhi_in, sizeof(int));
  cudaMemcpyToSymbol("nzlo_out",&cu_nzlo_out, sizeof(int));
  cudaMemcpyToSymbol("nzhi_out",&cu_nzhi_out, sizeof(int));
  cudaMemcpyToSymbol("nxlo_fft",&cu_nxlo_fft, sizeof(int));
  cudaMemcpyToSymbol("nxhi_fft",&cu_nxhi_fft, sizeof(int));
  cudaMemcpyToSymbol("nylo_fft",&cu_nylo_fft, sizeof(int));
  cudaMemcpyToSymbol("nyhi_fft",&cu_nyhi_fft, sizeof(int));
  cudaMemcpyToSymbol("nzlo_fft",&cu_nzlo_fft, sizeof(int));
  cudaMemcpyToSymbol("nzhi_fft",&cu_nzhi_fft, sizeof(int));
  cudaMemcpyToSymbol("slabflag",&cu_slabflag, sizeof(int));  
  cudaMemcpyToSymbol("nx_pppm",&cu_nx_pppm, sizeof(int));
  cudaMemcpyToSymbol("ny_pppm",&cu_ny_pppm, sizeof(int));
  cudaMemcpyToSymbol("nz_pppm",&cu_nz_pppm, sizeof(int));
  cudaMemcpyToSymbol("work1",&cu_work1, sizeof(FFT_FLOAT*));
  cudaMemcpyToSymbol("work2",&cu_work2, sizeof(FFT_FLOAT*));
  cudaMemcpyToSymbol("work3",&cu_work3, sizeof(FFT_FLOAT*));
  cudaMemcpyToSymbol("greensfn",&cu_greensfn, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("gf_b",&cu_gf_b, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("fkx",&cu_fkx, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("fky",&cu_fky, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("fkz",&cu_fkz, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("vg",&cu_vg, sizeof(PPPM_FLOAT*));

  PPPM_FLOAT cu_qqrd2e_a=cu_qqrd2e;
  cudaMemcpyToSymbol("qqrd2e",&cu_qqrd2e_a, sizeof(PPPM_FLOAT));
  cudaMemcpyToSymbol("order",&cu_order, sizeof(int));
  cudaMemcpyToSymbol("rho_coeff",&cu_rho_coeff, sizeof(PPPM_FLOAT*));
  cudaMemcpyToSymbol("debugdata",&cu_debugdata, sizeof(PPPM_FLOAT*));
  
  CUT_CHECK_ERROR("ERROR-CUDA poisson_init");

/*if(sizeof(CUDA_FLOAT)==sizeof(float)) printf("PPPMCuda Kernel: Using single precision\n");

#ifdef PPPM_PRECISION
if(sizeof(PPPM_FLOAT)==sizeof(float)) printf("PPPMCuda Kernel: Using single precision for pppm core\n");
if(sizeof(PPPM_FLOAT)==sizeof(double)) printf("PPPMCuda Kernel: Using double precision for pppm core\n");
#endif
#ifdef ENERGY_PRECISION
if(sizeof(ENERGY_FLOAT)==sizeof(float)) printf("PPPMCuda Kernel: Using single precision for energy\n");
if(sizeof(ENERGY_FLOAT)==sizeof(double)) printf("PPPMCuda Kernel: Using double precision for energy\n");
#endif
#ifdef ENERGY_PRECISION
if(sizeof(FFT_FLOAT)==sizeof(float)) printf("PPPMCuda Kernel: Using single precision for fft\n");
if(sizeof(FFT_FLOAT)==sizeof(double)) printf("PPPMCuda Kernel: Using double precision for fft\n");
#endif
#ifdef X_PRECISION
if(sizeof(X_FLOAT)==sizeof(float)) printf("PPPMCuda Kernel: Using single precision for positions\n");
if(sizeof(X_FLOAT)==sizeof(double)) printf("PPPMCuda Kernel: Using double precision for positions\n");
#endif
#ifdef F_PRECISION
if(sizeof(F_FLOAT)==sizeof(float)) printf("PPPMCuda Kernel: Using single precision for forces\n");
if(sizeof(F_FLOAT)==sizeof(double)) printf("PPPMCuda Kernel: Using double precision for forces\n");
#endif*/
}

void pppm_device_init_setup(cuda_shared_data* sdata,PPPM_FLOAT cu_shiftone,PPPM_FLOAT cu_delxinv,PPPM_FLOAT cu_delyinv,PPPM_FLOAT cu_delzinv,int cu_nlower,int cu_nupper)
{
  cudaMemcpyToSymbol("delxinv",&cu_delxinv, sizeof(PPPM_FLOAT));
  cudaMemcpyToSymbol("delyinv",&cu_delyinv, sizeof(PPPM_FLOAT));
  cudaMemcpyToSymbol("delzinv",&cu_delzinv, sizeof(PPPM_FLOAT));
  cudaMemcpyToSymbol("shiftone",&cu_shiftone, sizeof(PPPM_FLOAT));
  cudaMemcpyToSymbol("nlower",&cu_nlower, sizeof(int));
  cudaMemcpyToSymbol("nupper",&cu_nupper, sizeof(int));
  cudaMemcpyToSymbol(MY_CONST(sublo)   , sdata->domain.sublo, 3*sizeof(X_FLOAT));
  cudaMemcpyToSymbol(MY_CONST(subhi)   , sdata->domain.subhi, 3*sizeof(X_FLOAT));
  cudaMemcpyToSymbol(MY_CONST(boxlo)   , sdata->domain.boxlo, 3*sizeof(X_FLOAT));
  CUT_CHECK_ERROR("ERROR-CUDA pppm_init_setup");
}

void pppm_device_update(cuda_shared_data* sdata,void* cu_part2grid, int nlocala,int nmaxa)
{
  cudaMemcpyToSymbol("part2grid",&cu_part2grid, sizeof(int*));
  cudaMemcpyToSymbol(MY_CONST(x)   , & sdata->atom.x   .dev_data, sizeof(X_FLOAT*));
  cudaMemcpyToSymbol(MY_CONST(f)   , & sdata->atom.f   .dev_data, sizeof(F_FLOAT*));
  cudaMemcpyToSymbol(MY_CONST(q)   , & sdata->atom.q   .dev_data, sizeof(F_FLOAT*));
  cudaMemcpyToSymbol(MY_CONST(tag)   , & sdata->atom.tag   .dev_data, sizeof(int*));
  //cudaMemcpyToSymbol(MY_CONST(nlocal)   , & sdata->atom.nlocal   .dev_data, sizeof(int));
  cudaMemcpyToSymbol("nlocal"   , &nlocala, sizeof(int));
  cudaMemcpyToSymbol("nmax"   , &nmaxa, sizeof(int));
  CUT_CHECK_ERROR("ERROR-CUDA pppm_device_update");
  
}

void pppm_update_nlocal(int nlocala)
{
 cudaMemcpyToSymbol("nlocal"   , &nlocala, sizeof(int));
 CUT_CHECK_ERROR("ERROR-CUDA update_nlocal b");
}


void Cuda_PPPM_Setup_fkxyz_vg(int nx_pppma,int ny_pppma,int nz_pppma,PPPM_FLOAT unitkx,PPPM_FLOAT unitky,PPPM_FLOAT unitkz,PPPM_FLOAT g_ewald)
{
  dim3 grid;
  dim3 threads;
  grid.x=nz_pppma;
  grid.y=ny_pppma;
  grid.z=1;
  threads.x=nx_pppma;
  threads.y=1;
  threads.z=1;
  setup_fkxyz_vg<<<grid,threads,0>>>(unitkx,unitky,unitkz,g_ewald);
  cudaThreadSynchronize();
  
  CUT_CHECK_ERROR("ERROR-CUDA Cuda_PPPM_Setup_fkxyz_vg ");
}

void Cuda_PPPM_setup_greensfn(int nx_pppma,int ny_pppma,int nz_pppma,PPPM_FLOAT unitkx,PPPM_FLOAT unitky,PPPM_FLOAT unitkz,PPPM_FLOAT g_ewald,
int nbx,int nby,int nbz,PPPM_FLOAT xprd,PPPM_FLOAT yprd,PPPM_FLOAT zprd_slab)
{
  dim3 grid;
  dim3 threads;
  grid.x=nz_pppma;
  grid.y=ny_pppma;
  grid.z=1;
  threads.x=nx_pppma;
  threads.y=1;
  threads.z=1;
  setup_greensfn<<<grid,threads,0>>>(unitkx,unitky,unitkz,g_ewald,nbx,nby,nbz,xprd,yprd, zprd_slab);
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA Cuda_PPPM_Setup_greensfn ");
}

void poisson_scale(int nx_pppma,int ny_pppma,int nz_pppma)
{
  dim3 grid;
  dim3 threads;
  grid.x=nz_pppma;
  grid.y=ny_pppma;
  grid.z=1;
  threads.x=nx_pppma;
  threads.y=1;
  threads.z=1;
  poisson_scale_kernel<<<grid,threads,0>>>();
  CUT_CHECK_ERROR("ERROR-CUDA poisson_scale ");

}

void poisson_xgrad(int nx_pppma,int ny_pppma,int nz_pppma)
{
  dim3 grid;
  dim3 threads;
  grid.x=nz_pppma;
  grid.y=ny_pppma;
  grid.z=1;
  threads.x=nx_pppma;
  threads.y=1;
  threads.z=1;
  poisson_xgrad_kernel<<<grid,threads,0>>>();
  CUT_CHECK_ERROR("ERROR-CUDA poisson_xgrad ");
}

void poisson_ygrad(int nx_pppma,int ny_pppma,int nz_pppma)
{
  dim3 grid;
  dim3 threads;
  grid.x=nz_pppma;
  grid.y=ny_pppma;
  grid.z=1;
  threads.x=nx_pppma;
  threads.y=1;
  threads.z=1;
  poisson_ygrad_kernel<<<grid,threads,0>>>();
  CUT_CHECK_ERROR("ERROR-CUDA poisson_ygrad ");
}

void poisson_zgrad(int nx_pppma,int ny_pppma,int nz_pppma)
{
  dim3 grid;
  dim3 threads;
  grid.x=nz_pppma;
  grid.y=ny_pppma;
  grid.z=1;
  threads.x=nx_pppma;
  threads.y=1;
  threads.z=1;
  poisson_zgrad_kernel<<<grid,threads,0>>>();
  CUT_CHECK_ERROR("ERROR-CUDA poisson_zgrad ");
}

void poisson_vdx_brick(int ihi,int ilo,int jhi,int jlo,int khi,int klo,int nx_pppma,int ny_pppma,int nz_pppma)
{
	
  dim3 grid;
  dim3 threads;
  grid.x=khi-klo+1;
  grid.y=jhi-jlo+1;
  grid.z=1;
  threads.x=ihi-ilo+1;
  threads.y=1;
  threads.z=1;
  //printf("VDX_BRICK CUDA: %i %i %i\n",grid.x,grid.y,threads.x);
  poisson_vdx_brick_kernel<<<grid,threads,0>>>(ilo,jlo,klo);
  CUT_CHECK_ERROR("ERROR-CUDA poisson_vdxbrick ");
  cudaThreadSynchronize();
}

void poisson_vdy_brick(int ihi,int ilo,int jhi,int jlo,int khi,int klo,int nx_pppm,int ny_pppm,int nz_pppm)
{
  dim3 grid;
  dim3 threads;
  grid.x=khi-klo+1;
  grid.y=jhi-jlo+1;
  grid.z=1;
  threads.x=ihi-ilo+1;
  threads.y=1;
  threads.z=1;
  poisson_vdy_brick_kernel<<<grid,threads,0>>>(ilo,jlo,klo);
  CUT_CHECK_ERROR("ERROR-CUDA poisson_vdybrick ");
  cudaThreadSynchronize();
}

void poisson_vdz_brick(int ihi,int ilo,int jhi,int jlo,int khi,int klo,int nx_pppm,int ny_pppm,int nz_pppm)
{
  dim3 grid;
  dim3 threads;
  grid.x=khi-klo+1;
  grid.y=jhi-jlo+1;
  grid.z=1;
  threads.x=ihi-ilo+1;
  threads.y=1;
  threads.z=1;
  poisson_vdz_brick_kernel<<<grid,threads,0>>>(ilo,jlo,klo);
  CUT_CHECK_ERROR("ERROR-CUDA poisson_vdzbrick ");
  cudaThreadSynchronize();
}


void poisson_energy(int nxlo_fft,int nxhi_fft,int nylo_fft,int nyhi_fft,int nzlo_fft,int nzhi_fft,int vflag)
{
  //printf("VFLAG_GPU: %i\n",vflag);
  CUT_CHECK_ERROR("ERROR-CUDA poisson_energy start ");
  dim3 grid;
  dim3 threads;
  grid.x=nzhi_fft-nzlo_fft+1;
  grid.y=nyhi_fft-nylo_fft+1;
  grid.z=1;
  threads.x=nxhi_fft-nxlo_fft+1;
  threads.y=1;
  threads.z=1;
  poisson_energy_kernel<<<grid,threads,threads.x*sizeof(ENERGY_FLOAT)>>>(nxlo_fft,nylo_fft,nzlo_fft,vflag);
  
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA poisson_energy end ");
}

ENERGY_FLOAT sum_energy(void* cu_virial,void* cu_energy,int nx_pppma,int ny_pppma,int nz_pppma,int vflag,ENERGY_FLOAT* cpu_virial)
{
  ENERGY_FLOAT host_energy=0;
  dim3 grid;
  dim3 threads;

  grid.x=nz_pppma;
  grid.y=1;
  grid.z=1;
  threads.x=ny_pppma;
  threads.y=1;
  threads.z=1;
  sum_energy_kernel1<<<grid,threads,ny_pppma*sizeof(ENERGY_FLOAT)>>>(vflag); 
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA sumenergy_kernel1 ");

  grid.x=1;
  grid.y=1;
  grid.z=1;
  threads.x=nz_pppma;
  threads.y=1;
  threads.z=1;
  sum_energy_kernel2<<<grid,threads,nz_pppma*sizeof(ENERGY_FLOAT)>>>(vflag); 
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA sumenergy_kernel2 ");

  cudaMemcpy((void*) (&host_energy), cu_energy, sizeof(ENERGY_FLOAT),cudaMemcpyDeviceToHost);
  if(vflag)
  cudaMemcpy((void*) cpu_virial, (void*) cu_virial, 6*sizeof(ENERGY_FLOAT),cudaMemcpyDeviceToHost);
  CUT_CHECK_ERROR("ERROR-CUDA sumenergy_memcopy");
    
  return host_energy;
}

void cuda_make_rho(cuda_shared_data* sdata,void* flag,PPPM_FLOAT* cu_density_intScale,int ihi,int ilo,int jhi,int jlo,int khi,int klo,void* cu_density_brick,void* cu_density_brick_int)
{
  CUT_CHECK_ERROR("cuda_make_rho begin");
  dim3 grid,threads;
  int cpu_flag[3];
  grid.x=(sdata->atom.nlocal+31)/32;
  grid.y=1;
  grid.z=1;
  threads.x=32;
  threads.y=1;
  threads.z=1;
  int sharedmemsize=(32+32*(sdata->pppm.nupper-sdata->pppm.nlower+1)+sdata->pppm.order*(sdata->pppm.order/2-(1-sdata->pppm.order)/2+1))*sizeof(PPPM_FLOAT);
  do
  { 
    cpu_flag[0]=0;
    cpu_flag[1]=0;
    cpu_flag[2]=0;
    cudaMemcpyToSymbol("density_intScale",cu_density_intScale,sizeof(PPPM_FLOAT*));
    CUT_CHECK_ERROR("ERROR-CUDA make_rho pre Z");
    cudaMemset(flag,0,3*sizeof(int));
    CUT_CHECK_ERROR("ERROR-CUDA make_rho pre A");
    cudaMemset(cu_density_brick,0,(khi-klo+1)*(jhi-jlo+1)*(ihi-ilo+1)*sizeof(PPPM_FLOAT));
    CUT_CHECK_ERROR("ERROR-CUDA make_rho pre B");
    cudaMemset(cu_density_brick_int,0,(khi-klo+1)*(jhi-jlo+1)*(ihi-ilo+1)*sizeof(int));
    CUT_CHECK_ERROR("ERROR-CUDA make_rho pre C");
     make_rho_kernel<<<grid,threads,sharedmemsize>>>((int*) flag,32/(sdata->pppm.nupper-sdata->pppm.nlower+1));
    cudaThreadSynchronize();
    CUT_CHECK_ERROR("ERROR-CUDA make_rho A");
    cudaMemcpy((void*) &cpu_flag, flag, 3*sizeof(int),cudaMemcpyDeviceToHost);
    if(cpu_flag[0]!=0) {(*cu_density_intScale)/=2; MYDBG(printf("PPPM_Cuda::cuda_make_rho: Decrease cu_density_intScale to: %e\n",*cu_density_intScale);)}
    if((cpu_flag[0]==0)&&(cpu_flag[1]==0)) {(*cu_density_intScale)*=2; MYDBG(printf("PPPM_Cuda::cuda_make_rho: Increase cu_density_intScale to: %e\n",*cu_density_intScale);)}
   /* if((*cu_density_intScale)>0xe0000000)
    {
    	printf("Error Scaling\n");
        cpu_flag[0]=0;
        cpu_flag[1]=1;
    }*/
    CUT_CHECK_ERROR("ERROR-CUDA make_rho B");
  } while((cpu_flag[0]!=0)||(cpu_flag[1]==0));
  
  
  grid.x=khi-klo+1;
  grid.y=jhi-jlo+1;
  threads.x=ihi-ilo+1;
  scale_rho_kernel<<<grid,threads,0>>>();
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA make_rho_scale");
}


int cuda_particle_map(cuda_shared_data* sdata,void* flag)
{
  dim3 grid,threads;
  int cpu_flag;
  grid.x=(sdata->atom.nlocal+31)/32;
  grid.y=1;
  grid.z=1;
  threads.x=32;
  threads.y=1;
  threads.z=1;
  CUT_CHECK_ERROR("ERROR-CUDA particla_map ..pre");
  particle_map_kernel<<<grid,threads,0>>>((int*) flag);
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA particla_map a");
  cudaMemcpy((void*) &cpu_flag, flag, sizeof(int),cudaMemcpyDeviceToHost);
  CUT_CHECK_ERROR("ERROR-CUDA particla_map b");
  return cpu_flag;
}


void cuda_fieldforce(cuda_shared_data* sdata,void* flag)
{
  dim3 grid,threads;
  grid.x=(sdata->atom.nlocal+31)/32;
  grid.y=1;
  grid.z=1;
  threads.x=32;
  threads.y=1;
  threads.z=1;
  int sharedmemsize=(32+3*32*(sdata->pppm.nupper-sdata->pppm.nlower+1)+sdata->pppm.order*(sdata->pppm.order/2-(1-sdata->pppm.order)/2+1))*sizeof(PPPM_FLOAT);
  fieldforce_kernel<<<grid,threads,sharedmemsize>>>
  (sdata->pppm.nupper-sdata->pppm.nlower+1,32/(sdata->pppm.nupper-sdata->pppm.nlower+1),(int*) flag);
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA fieldforce");
}

double cuda_slabcorr_energy(cuda_shared_data* sdata, ENERGY_FLOAT* buf, ENERGY_FLOAT* dev_buf)
{
  dim3 grid,threads;
  grid.x=(sdata->atom.nlocal+31)/32;
  grid.y=1;
  grid.z=1;
  threads.x=32;
  threads.y=1;
  threads.z=1;	
  slabcorr_energy_kernel<<<grid,threads,32*sizeof(ENERGY_FLOAT)>>>(dev_buf);
  cudaThreadSynchronize();
  cudaMemcpy((void*) buf, dev_buf, grid.x*sizeof(ENERGY_FLOAT),cudaMemcpyDeviceToHost);
  
  double dipole_all=0.0;
  for(int i=0;i<grid.x;i++)
   dipole_all+=buf[i];
   
  return dipole_all;
}

void cuda_slabcorr_force(cuda_shared_data* sdata, F_FLOAT ffact)
{
  dim3 grid,threads;
  grid.x=(sdata->atom.nlocal+31)/32;
  grid.y=1;
  grid.z=1;
  threads.x=32;
  threads.y=1;
  threads.z=1;	
  slabcorr_force_kernel<<<grid,threads>>>(ffact);	
  cudaThreadSynchronize();
}

void sum_virial(double* host_virial)
{
}

void pppm_initfftdata(cuda_shared_data* sdata,PPPM_FLOAT* in,FFT_FLOAT* out)
{
  int nslow=sdata->pppm.nzhi_in-sdata->pppm.nzlo_in;	
  int nmid=sdata->pppm.nyhi_in-sdata->pppm.nylo_in;	
  int nfast=sdata->pppm.nxhi_in-sdata->pppm.nxlo_in;
  int nrimz=MAX(sdata->pppm.nzlo_in-sdata->pppm.nzlo_out,sdata->pppm.nzhi_out-sdata->pppm.nzhi_in);	
  int nrimy=MAX(sdata->pppm.nylo_in-sdata->pppm.nylo_out,sdata->pppm.nyhi_out-sdata->pppm.nyhi_in);	
  int nrimx=MAX(sdata->pppm.nxlo_in-sdata->pppm.nxlo_out,sdata->pppm.nxhi_out-sdata->pppm.nxhi_in);	
  dim3 grid;
  grid.x=nslow+1;
  grid.y=nmid+1;
  grid.z=1;
  dim3 threads;
  threads.x=nfast+1;
  threads.y=1;
  threads.z=1;
  cudaThreadSynchronize();
  initfftdata_core_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  grid.x=nrimz;
  grid.y=nmid+1;
  threads.x=nfast+1;
  initfftdata_z_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  grid.x=nslow+1;
  grid.y=nrimy;
  threads.x=nfast+1;
  initfftdata_y_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  grid.x=nslow+1;
  grid.y=nmid+1;
  threads.x=nrimx;
  initfftdata_x_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  grid.x=nrimz;
  grid.y=nrimy;
  threads.x=nfast+1;
  initfftdata_yz_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  grid.x=nrimz;
  grid.y=nmid+1;
  threads.x=nrimx;
  initfftdata_xz_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  grid.x=nslow+1;
  grid.y=nrimy;
  threads.x=nrimx;
  initfftdata_xy_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  grid.x=nrimz;
  grid.y=nrimy;
  threads.x=nrimx;
  initfftdata_xyz_kernel<<<grid,threads,0>>>(in,out);
  cudaThreadSynchronize();
  CUT_CHECK_ERROR("ERROR-CUDA initfftdata_kernel");
}