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lammps/src/USER-CUDA/pair_lj_cut_cuda.cpp
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pair_lj_cut_cuda.cpp
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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.
------------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
LAMMPS - Large-scale Atomic/Molecular Massively Parallel Simulator
http://lammps.sandia.gov, Sandia National Laboratories
Steve Plimpton, sjplimp@sandia.gov
Copyright (2003) 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.
See the README file in the top-level LAMMPS directory.
------------------------------------------------------------------------- */
/* ----------------------------------------------------------------------
Contributing author: Paul Crozier (SNL)
------------------------------------------------------------------------- */
#include <cmath>
#include <cstdio>
#include <cstdlib>
#include <cstring>
#include "pair_lj_cut_cuda.h"
#include "pair_lj_cut_cuda_cu.h"
#include "cuda_data.h"
#include "atom.h"
#include "comm.h"
#include "force.h"
#include "neighbor.h"
#include "neigh_list.h"
#include "neigh_request.h"
#include "cuda_neigh_list.h"
#include "update.h"
#include "integrate.h"
#include "respa.h"
#include "memory.h"
#include "error.h"
#include "cuda.h"
using namespace LAMMPS_NS;
#define MIN(a,b) ((a) < (b) ? (a) : (b))
#define MAX(a,b) ((a) > (b) ? (a) : (b))
/* ---------------------------------------------------------------------- */
PairLJCutCuda::PairLJCutCuda(LAMMPS *lmp) : PairLJCut(lmp)
{
cuda = lmp->cuda;
if(cuda == NULL)
error->all("You cannot use a /cuda class, without activating 'cuda' acceleration. Use no '-a' command line argument, or '-a cuda'.");
allocated2 = false;
cuda->shared_data.pair.cudable_force = 1;
cuda->setSystemParams();
}
/* ----------------------------------------------------------------------
remember pointer to arrays in cuda shared data
------------------------------------------------------------------------- */
void PairLJCutCuda::allocate()
{
if(! allocated) PairLJCut::allocate();
if(! allocated2)
{
allocated2 = true;
cuda->shared_data.pair.cut = cut;
cuda->shared_data.pair.coeff1 = lj1;
cuda->shared_data.pair.coeff2 = lj2;
cuda->shared_data.pair.coeff3 = lj3;
cuda->shared_data.pair.coeff4 = lj4;
cuda->shared_data.pair.offset = offset;
cuda->shared_data.pair.special_lj = force->special_lj;
cuda->shared_data.pair.special_coul = force->special_coul;
}
}
/* ---------------------------------------------------------------------- */
void PairLJCutCuda::compute(int eflag, int vflag)
{
if (eflag || vflag) ev_setup(eflag,vflag);
if(eflag) cuda->cu_eng_vdwl->upload();
if(vflag) cuda->cu_virial->upload();
Cuda_PairLJCutCuda(& cuda->shared_data, & cuda_neigh_list->sneighlist, eflag, vflag, eflag_atom, vflag_atom);
if(not cuda->shared_data.pair.collect_forces_later)
{
if(eflag) cuda->cu_eng_vdwl->download();
if(vflag) cuda->cu_virial->download();
}
}
/* ---------------------------------------------------------------------- */
void PairLJCutCuda::settings(int narg, char **arg)
{
PairLJCut::settings(narg, arg);
cuda->shared_data.pair.cut_global = (F_FLOAT) cut_global;
}
/* ---------------------------------------------------------------------- */
void PairLJCutCuda::coeff(int narg, char **arg)
{
PairLJCut::coeff(narg, arg);
allocate();
}
void PairLJCutCuda::init_style()
{
MYDBG(printf("# CUDA PairLJCutCuda::init_style start\n"); )
// request regular or rRESPA neighbor lists
int irequest;
if (update->whichflag == 0 && strcmp(update->integrate_style,"respa") == 0) {
}
else
{
irequest = neighbor->request(this);
neighbor->requests[irequest]->full = 1;
neighbor->requests[irequest]->half = 0;
neighbor->requests[irequest]->cudable = 1;
//neighbor->style=0; //0=NSQ neighboring
}
cut_respa = NULL;
MYDBG(printf("# CUDA PairLJCutCuda::init_style end\n"); )
}
void PairLJCutCuda::init_list(int id, NeighList *ptr)
{
MYDBG(printf("# CUDA PairLJCutCuda::init_list\n");)
PairLJCut::init_list(id, ptr);
#ifndef CUDA_USE_BINNING
// right now we can only handle verlet (id 0), not respa
if(id == 0) cuda_neigh_list = cuda->registerNeighborList(ptr);
// see Neighbor::init() for details on lammps lists' logic
#endif
MYDBG(printf("# CUDA PairLJCutCuda::init_list end\n");)
}
void PairLJCutCuda::ev_setup(int eflag, int vflag)
{
int maxeatomold=maxeatom;
PairLJCut::ev_setup(eflag,vflag);
if (eflag_atom && atom->nmax > maxeatomold)
{delete cuda->cu_eatom; cuda->cu_eatom = new cCudaData<double, ENERGY_FLOAT, x > ((double*)eatom, & cuda->shared_data.atom.eatom , atom->nmax );}
if (eflag_atom && atom->nmax > maxeatomold)
{delete cuda->cu_vatom; cuda->cu_vatom = new cCudaData<double, ENERGY_FLOAT, yx > ((double*)vatom, & cuda->shared_data.atom.eatom , atom->nmax, 6 );}
}
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