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lammps/lib/gpu/lal_lj_cubic_ext.cpp
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lal_lj_cubic_ext.cpp
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/***************************************************************************
lj_cubic_ext.cpp
-------------------
Trung Dac Nguyen
Functions for LAMMPS access to lj/cubic acceleration routines.
__________________________________________________________________________
This file is part of the LAMMPS Accelerator Library (LAMMPS_AL)
__________________________________________________________________________
begin :
email : ndactrung@gmail.com
***************************************************************************/
#include <iostream>
#include <cassert>
#include <math.h>
#include "lal_lj_cubic.h"
using namespace std;
using namespace LAMMPS_AL;
static LJCubic<PRECISION,ACC_PRECISION> LJCubicLMF;
// ---------------------------------------------------------------------------
// Allocate memory on host and device and copy constants to device
// ---------------------------------------------------------------------------
int ljcb_gpu_init(const int ntypes, double **cutsq, double **cut_inner_sq,
double **cut_inner, double **sigma, double **epsilon,
double **host_lj1, double **host_lj2, double **host_lj3,
double **host_lj4, double *special_lj,
const int inum, const int nall, const int max_nbors,
const int maxspecial, const double cell_size,
int &gpu_mode, FILE *screen) {
LJCubicLMF.clear();
gpu_mode=LJCubicLMF.device->gpu_mode();
double gpu_split=LJCubicLMF.device->particle_split();
int first_gpu=LJCubicLMF.device->first_device();
int last_gpu=LJCubicLMF.device->last_device();
int world_me=LJCubicLMF.device->world_me();
int gpu_rank=LJCubicLMF.device->gpu_rank();
int procs_per_gpu=LJCubicLMF.device->procs_per_gpu();
LJCubicLMF.device->init_message(screen,"lj/cubic",first_gpu,last_gpu);
bool message=false;
if (LJCubicLMF.device->replica_me()==0 && screen)
message=true;
if (message) {
fprintf(screen,"Initializing Device and compiling on process 0...");
fflush(screen);
}
int init_ok=0;
if (world_me==0)
init_ok=LJCubicLMF.init(ntypes, cutsq, cut_inner_sq, cut_inner, sigma,
epsilon, host_lj1, host_lj2, host_lj3, host_lj4,
special_lj, inum, nall, 300, maxspecial,
cell_size, gpu_split, screen);
LJCubicLMF.device->world_barrier();
if (message)
fprintf(screen,"Done.\n");
for (int i=0; i<procs_per_gpu; i++) {
if (message) {
if (last_gpu-first_gpu==0)
fprintf(screen,"Initializing Device %d on core %d...",first_gpu,i);
else
fprintf(screen,"Initializing Devices %d-%d on core %d...",first_gpu,
last_gpu,i);
fflush(screen);
}
if (gpu_rank==i && world_me!=0)
init_ok=LJCubicLMF.init(ntypes, cutsq, cut_inner_sq, cut_inner, sigma,
epsilon, host_lj1, host_lj2, host_lj3, host_lj4,
special_lj, inum, nall, 300, maxspecial,
cell_size, gpu_split, screen);
LJCubicLMF.device->gpu_barrier();
if (message)
fprintf(screen,"Done.\n");
}
if (message)
fprintf(screen,"\n");
if (init_ok==0)
LJCubicLMF.estimate_gpu_overhead();
return init_ok;
}
void ljcb_gpu_clear() {
LJCubicLMF.clear();
}
int ** ljcb_gpu_compute_n(const int ago, const int inum_full,
const int nall, double **host_x, int *host_type,
double *sublo, double *subhi, tagint *tag, int **nspecial,
tagint **special, const bool eflag, const bool vflag,
const bool eatom, const bool vatom, int &host_start,
int **ilist, int **jnum, const double cpu_time,
bool &success) {
return LJCubicLMF.compute(ago, inum_full, nall, host_x, host_type, sublo,
subhi, tag, nspecial, special, eflag, vflag, eatom,
vatom, host_start, ilist, jnum, cpu_time, success);
}
void ljcb_gpu_compute(const int ago, const int inum_full, const int nall,
double **host_x, int *host_type, int *ilist, int *numj,
int **firstneigh, const bool eflag, const bool vflag,
const bool eatom, const bool vatom, int &host_start,
const double cpu_time, bool &success) {
LJCubicLMF.compute(ago,inum_full,nall,host_x,host_type,ilist,numj,
firstneigh,eflag,vflag,eatom,vatom,host_start,cpu_time,success);
}
double ljcb_gpu_bytes() {
return LJCubicLMF.host_memory_usage();
}
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