forked from lijiext/lammps
124 lines
4.6 KiB
C++
124 lines
4.6 KiB
C++
/***************************************************************************
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yukawa_colloid_ext.cpp
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-------------------
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Trung Dac Nguyen (ORNL)
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Functions for LAMMPS access to colloid 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 : nguyentd@ornl.gov
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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_yukawa_colloid.h"
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using namespace std;
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using namespace LAMMPS_AL;
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static YukawaColloid<PRECISION,ACC_PRECISION> YKCOLLMF;
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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 ykcolloid_gpu_init(const int ntypes, double **cutsq, double **host_a,
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double **host_offset, double *special_lj, const int inum,
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const int nall, const int max_nbors, const int maxspecial,
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const double cell_size, int &gpu_mode, FILE *screen,
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const double kappa) {
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YKCOLLMF.clear();
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gpu_mode=YKCOLLMF.device->gpu_mode();
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double gpu_split=YKCOLLMF.device->particle_split();
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int first_gpu=YKCOLLMF.device->first_device();
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int last_gpu=YKCOLLMF.device->last_device();
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int world_me=YKCOLLMF.device->world_me();
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int gpu_rank=YKCOLLMF.device->gpu_rank();
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int procs_per_gpu=YKCOLLMF.device->procs_per_gpu();
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YKCOLLMF.device->init_message(screen,"yukawa/colloid",first_gpu,last_gpu);
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bool message=false;
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if (YKCOLLMF.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=YKCOLLMF.init(ntypes, cutsq, host_a, host_offset, special_lj,
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inum, nall, 300, maxspecial, cell_size, gpu_split,
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screen, kappa);
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YKCOLLMF.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=YKCOLLMF.init(ntypes, cutsq, host_a, host_offset, special_lj,
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inum, nall, 300, maxspecial, cell_size, gpu_split,
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screen, kappa);
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YKCOLLMF.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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YKCOLLMF.estimate_gpu_overhead();
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return init_ok;
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}
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void ykcolloid_gpu_clear() {
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YKCOLLMF.clear();
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}
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int ** ykcolloid_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, double *host_rad) {
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return YKCOLLMF.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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host_rad);
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}
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void ykcolloid_gpu_compute(const int ago, const int inum_full,
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const int nall, double **host_x, int *host_type,
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int *ilist, int *numj, int **firstneigh,
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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, double *host_rad) {
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YKCOLLMF.compute(ago,inum_full,nall,host_x,host_type,ilist,numj,
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firstneigh,eflag,vflag,eatom,vatom,host_start,cpu_time,
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success,host_rad);
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}
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double ykcolloid_gpu_bytes() {
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return YKCOLLMF.host_memory_usage();
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}
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