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