mirror of https://github.com/lammps/lammps.git
122 lines
4.8 KiB
Plaintext
122 lines
4.8 KiB
Plaintext
/* ----------------------------------------------------------------------
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LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
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Original Version:
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http://lammps.sandia.gov, Sandia National Laboratories
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Steve Plimpton, sjplimp@sandia.gov
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See the README file in the top-level LAMMPS directory.
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-----------------------------------------------------------------------
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USER-CUDA Package and associated modifications:
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https://sourceforge.net/projects/lammpscuda/
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Christian Trott, christian.trott@tu-ilmenau.de
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Lars Winterfeld, lars.winterfeld@tu-ilmenau.de
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Theoretical Physics II, University of Technology Ilmenau, Germany
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See the README file in the USER-CUDA directory.
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This software is distributed under the GNU General Public License.
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------------------------------------------------------------------------- */
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#include <stdio.h>
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#define MY_PREFIX compute_temp_cuda
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#include "cuda_shared.h"
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#include "cuda_common.h"
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#include "crm_cuda_utils.cu"
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#include "compute_temp_cuda_cu.h"
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#include "compute_temp_cuda_kernel.cu"
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void Cuda_ComputeTempCuda_UpdateBuffer(cuda_shared_data* sdata)
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{
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int size=(unsigned)((sdata->atom.nlocal+63)/64.0)*6*sizeof(ENERGY_FLOAT);
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if(sdata->buffersize<size)
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{
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MYDBG(printf("Cuda_ComputeTempCuda Resizing Buffer at %p with %i kB to\n",sdata->buffer,sdata->buffersize);)
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CudaWrapper_FreeCudaData(sdata->buffer,sdata->buffersize);
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sdata->buffer = CudaWrapper_AllocCudaData(size);
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sdata->buffersize=size;
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sdata->buffer_new++;
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MYDBG(printf("New buffer at %p with %i kB\n",sdata->buffer,sdata->buffersize);)
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}
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cudaMemcpyToSymbol(MY_CONST(buffer), & sdata->buffer, sizeof(int*) );
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}
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void Cuda_ComputeTempCuda_UpdateNmax(cuda_shared_data* sdata)
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{
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cudaMemcpyToSymbol(MY_CONST(mask) , & sdata->atom.mask .dev_data, sizeof(int*) );
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cudaMemcpyToSymbol(MY_CONST(mass) , & sdata->atom.mass .dev_data, sizeof(V_FLOAT*) );
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if(sdata->atom.rmass_flag)
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cudaMemcpyToSymbol(MY_CONST(rmass) , & sdata->atom.rmass.dev_data, sizeof(V_FLOAT*) );
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cudaMemcpyToSymbol(MY_CONST(rmass_flag) , & sdata->atom.rmass_flag, sizeof(int) );
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cudaMemcpyToSymbol(MY_CONST(nlocal) , & sdata->atom.nlocal , sizeof(int) );
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cudaMemcpyToSymbol(MY_CONST(nmax) , & sdata->atom.nmax , sizeof(int) );
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cudaMemcpyToSymbol(MY_CONST(v) , & sdata->atom.v .dev_data, sizeof(V_FLOAT*) );
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cudaMemcpyToSymbol(MY_CONST(type) , & sdata->atom.type .dev_data, sizeof(int*) );
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}
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void Cuda_ComputeTempCuda_Init(cuda_shared_data* sdata)
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{
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Cuda_ComputeTempCuda_UpdateNmax(sdata);
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}
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void Cuda_ComputeTempCuda_Vector(cuda_shared_data* sdata, int groupbit,ENERGY_FLOAT* t)
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{
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//if(sdata->atom.update_nmax) //is most likely not called every timestep, therefore update of constants is necessary
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Cuda_ComputeTempCuda_UpdateNmax(sdata);
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//if(sdata->atom.update_nlocal)
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cudaMemcpyToSymbol(MY_CONST(nlocal) , & sdata->atom.nlocal , sizeof(int) );
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//if(sdata->buffer_new)
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Cuda_ComputeTempCuda_UpdateBuffer(sdata);
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int3 layout=getgrid(sdata->atom.nlocal);
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dim3 threads(layout.z, 1, 1);
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dim3 grid(layout.x, layout.y, 1);
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if(sdata->atom.nlocal>0)
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{
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Cuda_ComputeTempCuda_Vector_Kernel<<<grid, threads,threads.x*6*sizeof(ENERGY_FLOAT)>>> (groupbit);
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cudaThreadSynchronize();
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CUT_CHECK_ERROR("Cuda_ComputeTempCuda_Vector: compute_vector Kernel execution failed");
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int oldgrid=grid.x;
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grid.x=6;
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threads.x=512;
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Cuda_ComputeTempCuda_Reduce_Kernel<<<grid, threads,threads.x*sizeof(ENERGY_FLOAT)>>> (oldgrid,t);
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cudaThreadSynchronize();
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CUT_CHECK_ERROR("Cuda_ComputeTempCuda_Vector: reduce_vector Kernel execution failed");
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}
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}
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void Cuda_ComputeTempCuda_Scalar(cuda_shared_data* sdata, int groupbit,ENERGY_FLOAT* t)
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{
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//if(sdata->atom.update_nmax) //is most likely not called every timestep, therefore update of constants is necessary
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Cuda_ComputeTempCuda_UpdateNmax(sdata);
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//if(sdata->atom.update_nlocal)
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cudaMemcpyToSymbol(MY_CONST(nlocal) , & sdata->atom.nlocal , sizeof(int) );
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//if(sdata->buffer_new)
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Cuda_ComputeTempCuda_UpdateBuffer(sdata);
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MYDBG(printf("#CUDA ComputeTempCuda_Scalar: %i\n",sdata->atom.nlocal);)
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int3 layout=getgrid(sdata->atom.nlocal);
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dim3 threads(layout.z, 1, 1);
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dim3 grid(layout.x, layout.y, 1);
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if(sdata->atom.nlocal>0)
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{
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CUT_CHECK_ERROR("Cuda_ComputeTempCuda_Scalar: pre compute_scalar Kernel");
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Cuda_ComputeTempCuda_Scalar_Kernel<<<grid, threads,threads.x*sizeof(ENERGY_FLOAT)>>> (groupbit);
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cudaThreadSynchronize();
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CUT_CHECK_ERROR("Cuda_ComputeTempCuda_Scalar: compute_scalar Kernel execution failed");
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int oldgrid=grid.x;
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grid.x=1;
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threads.x=512;
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Cuda_ComputeTempCuda_Reduce_Kernel<<<grid, threads,threads.x*sizeof(ENERGY_FLOAT)>>> (oldgrid,t);
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cudaThreadSynchronize();
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CUT_CHECK_ERROR("Cuda_ComputeTempCuda_Scalar: reduce_scalar Kernel execution failed");
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}
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}
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