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git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12588 f3b2605a-c512-4ea7-a41b-209d697bcdaa

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This commit is contained in:
sjplimp
2014-10-06 22:59:05 +00:00
parent 4bb43ca885
commit 621fa7d600
122 changed files with 1934 additions and 1929 deletions
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24
lib/cuda/compute_temp_partial_cuda.cu
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@ -33,7 +33,7 @@
void Cuda_ComputeTempPartialCuda_UpdateBuffer(cuda_shared_data* sdata)
{
int size = (unsigned)((sdata->atom.nlocal + 63) / 64.0) * 6 * sizeof(ENERGY_FLOAT);
int size = (unsigned)((sdata->atom.nlocal + 63) / 64.0) * 6 * sizeof(ENERGY_CFLOAT);
if(sdata->buffersize < size) {
MYDBG(printf("Cuda_ComputeTempPartialCuda Resizing Buffer at %p with %i kB to\n", sdata->buffer, sdata->buffersize);)
@ -50,15 +50,15 @@ void Cuda_ComputeTempPartialCuda_UpdateBuffer(cuda_shared_data* sdata)
void Cuda_ComputeTempPartialCuda_UpdateNmax(cuda_shared_data* sdata)
{
cudaMemcpyToSymbol(MY_AP(mask) , & sdata->atom.mask .dev_data, sizeof(int*));
cudaMemcpyToSymbol(MY_AP(mass) , & sdata->atom.mass .dev_data, sizeof(V_FLOAT*));
cudaMemcpyToSymbol(MY_AP(mass) , & sdata->atom.mass .dev_data, sizeof(V_CFLOAT*));
if(sdata->atom.rmass_flag)
cudaMemcpyToSymbol(MY_AP(rmass) , & sdata->atom.rmass.dev_data, sizeof(V_FLOAT*));
cudaMemcpyToSymbol(MY_AP(rmass) , & sdata->atom.rmass.dev_data, sizeof(V_CFLOAT*));
cudaMemcpyToSymbol(MY_AP(rmass_flag) , & sdata->atom.rmass_flag, sizeof(int));
cudaMemcpyToSymbol(MY_AP(nlocal) , & sdata->atom.nlocal , sizeof(int));
cudaMemcpyToSymbol(MY_AP(nmax) , & sdata->atom.nmax , sizeof(int));
cudaMemcpyToSymbol(MY_AP(v) , & sdata->atom.v .dev_data, sizeof(V_FLOAT*));
cudaMemcpyToSymbol(MY_AP(v) , & sdata->atom.v .dev_data, sizeof(V_CFLOAT*));
cudaMemcpyToSymbol(MY_AP(type) , & sdata->atom.type .dev_data, sizeof(int*));
}
@ -68,7 +68,7 @@ void Cuda_ComputeTempPartialCuda_Init(cuda_shared_data* sdata)
}
void Cuda_ComputeTempPartialCuda_Vector(cuda_shared_data* sdata, int groupbit, ENERGY_FLOAT* t, int xflag, int yflag, int zflag)
void Cuda_ComputeTempPartialCuda_Vector(cuda_shared_data* sdata, int groupbit, ENERGY_CFLOAT* t, int xflag, int yflag, int zflag)
{
//if(sdata->atom.update_nmax) //is most likely not called every timestep, therefore update of constants is necessary
Cuda_ComputeTempPartialCuda_UpdateNmax(sdata);
@ -82,20 +82,20 @@ void Cuda_ComputeTempPartialCuda_Vector(cuda_shared_data* sdata, int groupbit, E
dim3 grid(layout.x, layout.y, 1);
if(sdata->atom.nlocal > 0) {
Cuda_ComputeTempPartialCuda_Vector_Kernel <<< grid, threads, threads.x* 6* sizeof(ENERGY_FLOAT)>>> (groupbit, xflag, yflag, zflag);
Cuda_ComputeTempPartialCuda_Vector_Kernel <<< grid, threads, threads.x* 6* sizeof(ENERGY_CFLOAT)>>> (groupbit, xflag, yflag, zflag);
cudaThreadSynchronize();
CUT_CHECK_ERROR("Cuda_ComputeTempPartialCuda_Vector: compute_vector Kernel execution failed");
int oldgrid = grid.x * grid.y;
grid.x = 6;
threads.x = 512;
Cuda_ComputeTempPartialCuda_Reduce_Kernel <<< grid, threads, threads.x* sizeof(ENERGY_FLOAT)>>> (oldgrid, t);
Cuda_ComputeTempPartialCuda_Reduce_Kernel <<< grid, threads, threads.x* sizeof(ENERGY_CFLOAT)>>> (oldgrid, t);
cudaThreadSynchronize();
CUT_CHECK_ERROR("Cuda_ComputeTempPartialCuda_Vector: reduce_vector Kernel execution failed");
}
}
void Cuda_ComputeTempPartialCuda_Scalar(cuda_shared_data* sdata, int groupbit, ENERGY_FLOAT* t, int xflag, int yflag, int zflag)
void Cuda_ComputeTempPartialCuda_Scalar(cuda_shared_data* sdata, int groupbit, ENERGY_CFLOAT* t, int xflag, int yflag, int zflag)
{
//if(sdata->atom.update_nmax) //is most likely not called every timestep, therefore update of constants is necessary
Cuda_ComputeTempPartialCuda_UpdateNmax(sdata);
@ -110,14 +110,14 @@ void Cuda_ComputeTempPartialCuda_Scalar(cuda_shared_data* sdata, int groupbit, E
if(sdata->atom.nlocal > 0) {
CUT_CHECK_ERROR("Cuda_ComputeTempPartialCuda_Scalar: pre compute_scalar Kernel");
Cuda_ComputeTempPartialCuda_Scalar_Kernel <<< grid, threads, threads.x* sizeof(ENERGY_FLOAT)>>> (groupbit, xflag, yflag, zflag);
Cuda_ComputeTempPartialCuda_Scalar_Kernel <<< grid, threads, threads.x* sizeof(ENERGY_CFLOAT)>>> (groupbit, xflag, yflag, zflag);
cudaThreadSynchronize();
CUT_CHECK_ERROR("Cuda_ComputeTempPartialCuda_Scalar: compute_scalar Kernel execution failed");
int oldgrid = grid.x * grid.y;
grid.x = 1;
threads.x = 512;
Cuda_ComputeTempPartialCuda_Reduce_Kernel <<< grid, threads, threads.x* sizeof(ENERGY_FLOAT)>>> (oldgrid, t);
Cuda_ComputeTempPartialCuda_Reduce_Kernel <<< grid, threads, threads.x* sizeof(ENERGY_CFLOAT)>>> (oldgrid, t);
cudaThreadSynchronize();
CUT_CHECK_ERROR("Cuda_ComputeTempPartialCuda_Scalar: reduce_scalar Kernel execution failed");
}
@ -137,7 +137,7 @@ void Cuda_ComputeTempPartialCuda_RemoveBiasAll(cuda_shared_data* sdata, int grou
dim3 grid(layout.x, layout.y, 1);
if(sdata->atom.nlocal > 0) {
Cuda_ComputeTempPartialCuda_RemoveBiasAll_Kernel <<< grid, threads, 0>>> (groupbit, xflag, yflag, zflag, (V_FLOAT*) vbiasall);
Cuda_ComputeTempPartialCuda_RemoveBiasAll_Kernel <<< grid, threads, 0>>> (groupbit, xflag, yflag, zflag, (V_CFLOAT*) vbiasall);
cudaThreadSynchronize();
CUT_CHECK_ERROR("Cuda_ComputeTempPartialCuda_RemoveBiasAll: compute_vector Kernel execution failed");
}
@ -157,7 +157,7 @@ void Cuda_ComputeTempPartialCuda_RestoreBiasAll(cuda_shared_data* sdata, int gro
dim3 grid(layout.x, layout.y, 1);
if(sdata->atom.nlocal > 0) {
Cuda_ComputeTempPartialCuda_RestoreBiasAll_Kernel <<< grid, threads, 0>>> (groupbit, xflag, yflag, zflag, (V_FLOAT*) vbiasall);
Cuda_ComputeTempPartialCuda_RestoreBiasAll_Kernel <<< grid, threads, 0>>> (groupbit, xflag, yflag, zflag, (V_CFLOAT*) vbiasall);
cudaThreadSynchronize();
CUT_CHECK_ERROR("Cuda_ComputeTempPartialCuda_RemoveBiasAll: compute_vector Kernel execution failed");
}