lammps/lib/gpu/gb_gpu_memory.cu

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/***************************************************************************
gb_gpu_memory.cu
-------------------
W. Michael Brown
Global variables for GPU Gayberne Library
__________________________________________________________________________
This file is part of the LAMMPS GPU Library
__________________________________________________________________________
begin : Thu Jun 25 2009
copyright : (C) 2009 by W. Michael Brown
email : wmbrown@sandia.gov
***************************************************************************/
/* -----------------------------------------------------------------------
Copyright (2009) Sandia Corporation. Under the terms of Contract
DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government retains
certain rights in this software. This software is distributed under
the GNU General Public License.
----------------------------------------------------------------------- */
#include "gb_gpu_memory.h"
#define GB_GPU_MemoryT GB_GPU_Memory<numtyp, acctyp>
template <class numtyp, class acctyp>
GB_GPU_MemoryT::GB_GPU_Memory() : LJ_GPU_MemoryT() {
this->atom.atom_fields(8);
this->atom.ans_fields(13);
this->nbor.packing(true);
}
template <class numtyp, class acctyp>
GB_GPU_MemoryT::~GB_GPU_Memory() {
clear();
}
template <class numtyp, class acctyp>
bool GB_GPU_MemoryT::init(const int ij_size, const int ntypes,
const double gamma, const double upsilon,
const double mu, double **host_shape,
double **host_well, double **host_cutsq,
double **host_sigma, double **host_epsilon,
double *host_lshape, int **h_form, double **host_lj1,
double **host_lj2, double **host_lj3,
double **host_lj4, double **host_offset,
double *host_special_lj, const int max_nbors,
const bool force_d, const int me) {
if (this->allocated)
clear();
bool p=LJ_GPU_MemoryT::init(ij_size,ntypes,host_cutsq,host_sigma,host_epsilon,
host_lj1, host_lj2, host_lj3, host_lj4,
host_offset, host_special_lj, max_nbors, me);
if (!p)
return false;
host_form=h_form;
// Initialize timers for the selected GPU
time_kernel.init();
time_gayberne.init();
time_kernel2.init();
time_gayberne2.init();
// Use the write buffer from atom for data initialization
NVC_HostT &host_write=this->atom.host_write;
assert(host_write.numel()>4 && host_write.numel()>ntypes*ntypes*2);
// Allocate, cast and asynchronous memcpy of constant data
gamma_upsilon_mu.safe_alloc(3);
host_write[0]=static_cast<numtyp>(gamma);
host_write[1]=static_cast<numtyp>(upsilon);
host_write[2]=static_cast<numtyp>(mu);
gamma_upsilon_mu.copy_from_host(host_write.begin());
lshape.safe_alloc(ntypes,lshape_get_texture<numtyp>());
lshape.cast_copy(host_lshape,host_write);
lshape.copy_from_host(host_write.begin());
// Copy shape, well, sigma, epsilon, and cutsq onto GPU
shape.safe_alloc(ntypes,3,shape_get_texture<numtyp>());
shape.cast_copy(host_shape[0],host_write);
well.safe_alloc(ntypes,3,well_get_texture<numtyp>());
well.cast_copy(host_well[0],host_write);
// Copy LJ data onto GPU
int lj_types=ntypes;
if (lj_types<=MAX_SHARED_TYPES)
lj_types=MAX_SHARED_TYPES;
form.safe_alloc(lj_types,lj_types,form_get_texture());
form.copy_2Dfrom_host(host_form[0],ntypes,ntypes);
// See if we want fast GB-sphere or sphere-sphere calculations
multiple_forms=false;
for (int i=1; i<ntypes; i++)
for (int j=i; j<ntypes; j++)
if (host_form[i][j]!=ELLIPSE_ELLIPSE)
multiple_forms=true;
// Memory for ilist ordered by particle type
host_olist.safe_alloc_rw(this->max_atoms);
return true;
}
template <class numtyp, class acctyp>
void GB_GPU_MemoryT::clear() {
if (!this->allocated)
return;
int err_flag;
this->dev_error.copy_to_host(&err_flag);
if (err_flag == 1)
std::cerr << "COLLISION BUFFER OVERFLOW OCCURED. INCREASE COLLISION_N "
<< "and RECOMPILE.\n";
else if (err_flag == 2)
std::cerr << "BAD MATRIX INVERSION IN FORCE COMPUTATION.\n";
LJ_GPU_MemoryT::clear();
lshape.unbind();
shape.clear();
well.clear();
form.clear();
lshape.clear();
gamma_upsilon_mu.clear();
host_olist.clear();
}
template <class numtyp, class acctyp>
double GB_GPU_MemoryT::host_memory_usage() {
return this->atom.host_memory_usage(this->max_atoms)+
this->nbor.host_memory_usage()+4*sizeof(numtyp)+
sizeof(GB_GPU_Memory<numtyp,acctyp>)+this->max_atoms*sizeof(int);
}
template class GB_GPU_Memory<PRECISION,ACC_PRECISION>;