130 lines
4.9 KiB
C++
130 lines
4.9 KiB
C++
/***************************************************************************
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sph_lj_ext.cpp
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-------------------
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Trung Dac Nguyen (U Chicago)
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Functions for LAMMPS access to sph/lj 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 : December 2023
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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 <cmath>
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#include "lal_sph_lj.h"
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using namespace std;
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using namespace LAMMPS_AL;
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static SPHLJ<PRECISION,ACC_PRECISION> SPHLJMF;
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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 sph_lj_gpu_init(const int ntypes, double **cutsq, double** host_cut,
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double **host_viscosity, double* host_mass, const int dimension,
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double *special_lj, const int inum, const int nall,
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const int max_nbors, const int maxspecial,
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const double cell_size, int &gpu_mode, FILE *screen) {
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SPHLJMF.clear();
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gpu_mode=SPHLJMF.device->gpu_mode();
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double gpu_split=SPHLJMF.device->particle_split();
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int first_gpu=SPHLJMF.device->first_device();
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int last_gpu=SPHLJMF.device->last_device();
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int world_me=SPHLJMF.device->world_me();
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int gpu_rank=SPHLJMF.device->gpu_rank();
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int procs_per_gpu=SPHLJMF.device->procs_per_gpu();
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SPHLJMF.device->init_message(screen,"sph_lj",first_gpu,last_gpu);
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bool message=false;
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if (SPHLJMF.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=SPHLJMF.init(ntypes, cutsq, host_cut, host_viscosity, host_mass,
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dimension, special_lj, inum, nall, max_nbors, maxspecial,
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cell_size, gpu_split, screen);
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SPHLJMF.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=SPHLJMF.init(ntypes, cutsq, host_cut, host_viscosity, host_mass,
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dimension, special_lj, inum, nall, max_nbors, maxspecial,
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cell_size, gpu_split, screen);
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SPHLJMF.device->serialize_init();
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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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SPHLJMF.estimate_gpu_overhead();
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return init_ok;
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}
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void sph_lj_gpu_clear() {
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SPHLJMF.clear();
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}
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int ** sph_lj_gpu_compute_n(const int ago, const int inum_full, const int nall,
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double **host_x, int *host_type, double *sublo,
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double *subhi, tagint *host_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, bool &success,
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double **host_v) {
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return SPHLJMF.compute(ago, inum_full, nall, host_x, host_type, sublo,
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subhi, host_tag, nspecial, special, eflag, vflag,
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eatom, vatom, host_start, ilist, jnum, cpu_time, success,
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host_v);
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}
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void sph_lj_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, tagint *host_tag,
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double **host_v, const int nlocal) {
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SPHLJMF.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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host_tag, host_v, nlocal);
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}
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void sph_lj_gpu_get_extra_data(double *host_rho, double *host_esph, double *host_cv) {
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SPHLJMF.get_extra_data(host_rho, host_esph, host_cv);
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}
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void sph_lj_gpu_update_drhoE(void **drhoE_ptr) {
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SPHLJMF.update_drhoE(drhoE_ptr);
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}
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double sph_lj_gpu_bytes() {
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return SPHLJMF.host_memory_usage();
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}
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