/*************************************************************************** colloid_ext.cpp ------------------- Trung Dac Nguyen (ORNL) Functions for LAMMPS access to colloid acceleration routines. __________________________________________________________________________ This file is part of the LAMMPS Accelerator Library (LAMMPS_AL) __________________________________________________________________________ begin : email : nguyentd@ornl.gov ***************************************************************************/ #include #include #include #include "lal_colloid.h" using namespace std; using namespace LAMMPS_AL; static Colloid COLLMF; // --------------------------------------------------------------------------- // Allocate memory on host and device and copy constants to device // --------------------------------------------------------------------------- int colloid_gpu_init(const int ntypes, double **cutsq, double **host_lj1, double **host_lj2, double **host_lj3, double **host_lj4, double **offset, double *special_lj, double **host_a12, double **host_a1, double **host_a2, double **host_d1, double **host_d2, double **host_sigma3, double **host_sigma6, int **host_form, const int inum, const int nall, const int max_nbors, const int maxspecial, const double cell_size, int &gpu_mode, FILE *screen) { COLLMF.clear(); gpu_mode=COLLMF.device->gpu_mode(); double gpu_split=COLLMF.device->particle_split(); int first_gpu=COLLMF.device->first_device(); int last_gpu=COLLMF.device->last_device(); int world_me=COLLMF.device->world_me(); int gpu_rank=COLLMF.device->gpu_rank(); int procs_per_gpu=COLLMF.device->procs_per_gpu(); COLLMF.device->init_message(screen,"colloid",first_gpu,last_gpu); bool message=false; if (COLLMF.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=COLLMF.init(ntypes, cutsq, host_lj1, host_lj2, host_lj3, host_lj4, offset, special_lj, host_a12, host_a1, host_a2, host_d1, host_d2, host_sigma3, host_sigma6, host_form, inum, nall, 300, maxspecial, cell_size, gpu_split, screen); COLLMF.device->world_barrier(); if (message) fprintf(screen,"Done.\n"); for (int i=0; igpu_barrier(); if (message) fprintf(screen,"Done.\n"); } if (message) fprintf(screen,"\n"); if (init_ok==0) COLLMF.estimate_gpu_overhead(); return init_ok; } void colloid_gpu_clear() { COLLMF.clear(); } int ** colloid_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 COLLMF.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 colloid_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) { COLLMF.compute(ago,inum_full,nall,host_x,host_type,ilist,numj, firstneigh,eflag,vflag,eatom,vatom,host_start,cpu_time,success); } double colloid_gpu_bytes() { return COLLMF.host_memory_usage(); }